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slashingdisneypasta · 1 year

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Oh my lord, I just saw a thing on Pinterest that said: Of course I cum fast- I'm a busy man. I have places to be.

And first of all- hysterical. 10 out of 10. This man will not be shamed.

Second of all, of course- Here are the Horror Men I think would abandon you after cumming themselves VS The ones that would never leave you high and dry like that (Indented):

Warnings: Orgasm denial, selfish fucking/loving

(Most of) These men in this post:

Animal The Cannibal: If Manny calls on him I bet he would go 😅 Sorryyyyy.

Billy Loomis: He likes the feeling of you cumming around him too much for that. Don't get me wrong- he is a pretty selfish lover. It's just that, part of his pleasure happens to come from yours.

Bo Sinclair: Nahhhhh. It's not that he's wanting to be kind to you- he just thinks it's a mark of a sissy if he can't get his lover to cum for him. It's for bragging rights.

Bubba Sawyer: Yeahh... sorry Y/N. If one of his brothers call on him he will ALWAYS go.

Candyman: Look, its not always!, so don't get me wrong- Daniel is a good lover. I'm sure he is. But at times he just... doesn't have the time 😅

Captain Spaulding: Sorry doll, he's got like 3 insane middle aged children running about not cleaning up their messes and he's gotta get on that shit XD

Chop Top Sawyer: If you've got his attention, which you certainly do if you're engaging in sex with him, then he's all yours. He's all for you.

Chucky Lee Ray: He's full of bullshit but he is also quite busy so... take this as you will.

Dr Suave: Ain't nothin' gonna keep him from the face you're gonna make sweet thing... (*Cough* Sweet talker)

Drayton Sawyer: GENUINLEY REAL BUSY!! He'd stay if he could!! Don't sulk though, he'll get pissy at you.

Freddy Krueger: Damn, you're waking up! Well- Goodluck!~ (This asshole)

Harper Alexander: This man is Buckman's bitch- he literally pimps himself out for him 😅 So... yeah... Maybe you could talk to Buckman? Ask him not to call on Harper during the hours of 5-8pm On Friday Nights please??? 😆

Inkubus: Not his style.

Jack Dante: It depends on where his head is. It's hard to keep him in one place for long- if he's got his head in the clouds, his show is on, or he's got 'work to do', he'll literally just take care of himself and then fuck off. (If you manage to hold his attention though he WILL go until you fall asleep and then be there waiting when you wake up again. Stamina for days, I swear).

Jason Voorhees: The chances are, if you've gotten Jason to engage in... the act!!... then its gonna be all about you, anyway. He might not want to cum. It's in his nature to take care of the people he loves, anyway. So it's kinda the other way around, here... but voluntarily.

Jedidiah Sawyer: Too sweet. Plus, without a family shooing him this way and that anymore, he's suddenly got so much more time on his hands! Haha.

Jerry Dandridge: If he's sleeping with you his full attention is on you, and very little will have to power to stop it.

Kieran Wilcox: I love the idea that this too-cool-for-school, bastard guy- has really bad stamina (: So (: Yeah (:

Leslie Vernon: This asshole 😅 He's like sorry sweetie, I have preparations to do, *Forehead kiss*, love you so much, see ya! (He's being genuine, too. This is not a line because he's being lazy or selfish- He gets tunnel vision something fierce).

Lester Sinclair: I swear he hates leaving you unfulfilled, he really really hates it, but sometimes he just needs a little something to keep him happy before going to see his brothers and he doesn't have time to take care of you. He will when he gets back!! He promises.

Max Grief: He just wouldn't wanna leave you displeased. He wants to make you happy (:

Mayor Buckman: This one genuinly makes me laugh XD This man, oh my lord. Someone will knock on the door and he'll be OFF- forgetting in his eagerness to be do Town Duties that he first has duties to you goddamnit!-

Mental Manny: Ohhhhhhhhhhhhhh what a dick. I'm sorry, but a dick appointment with Manny is just that- an appointment. And like any asshole with an appointment book he will decide once he's got what he wanted out of the transaction that oh, sorry, time is up! He has to go preach to some devotees for an hour. Bye sweetheart!~

Michael Myers: You just know he would. He does not care.

Mickey Altieri: Just not a selfish lover. It's equal with him.

Midnight Man: He might think its a game... 😅

Monty Hewitt: Well fuck, who knows what Hoyt might saw off him if he ignores him this time?? Please believe him when he says he wants to stay though, he really fucking does.

Otis B Driftwood: 'I'll go around back and take control, like I always fucken do'- Otis has clearly got a complex for being the Big Man in Charge, yes. And this is part of the reason he will leave you high and dry... the other part though is him being a DICK.

Patrick Bateman: Like Michael, he doesn't care. You can finish up yourself while he gets his keto dinner started.

Pennywise: I feel like with Penny its marathon sex or it's nothin', so yeah you're gonna cum. Do not fear.

Rocco The Clown: No way in hell will anyone ever tear him away from you. Oh, no. He (And I) would like to see them try.

SHERIFF HOYT: BECAUSE HE'S SHERIFF HOYT. HE IS EXACTLY THAT PINTEREST QUOTE.

Stu Macher: Would also genuinely say that 😅 Will answer every beck and call of Billy's and so thinks he's a very busy man. Call him back though and he probably will listen to you. Sorry Billy.

Stuart Lloyd: Okay- this man has probably not had sex for a LONG time- if ever. So yeah- even the muse gets ignored during that time XDD 😅 He~ is~ desperate (:

DBD The Clown: Sometimes he's too tired, which is understandable I suppose, but the asshole part?? He giggles about it. I mean, after that he coughs because he has not taken care of his body, but first he definetly giggles =_=

DBD The Deathslinger: He ain't as young as he once was- you just gotta give him a moment to breath XD Usually. Sometimes he will just smirk at you and leave, though. Cuz he's an EVIL COWBOY.

The Djinn: Not his style- Part 2.

The Man: He just would =_=

The Taxidermist: Like Stuart he is has been very dry for a very long time and he is NOT about to mess up this chance.

Thomas Hewitt: I would say he's the same as Bubba... but Thomas is a little tougher. Unless Luda Mae tried to call him away... you're good. He'll always finish you off before answering anyone else. (And Luda Mae wants grandbabies too much to pull him away XDD )

Vincent Sinclair: Sex is a whole night with him. He will have planned to have the whole evening and through the night without an interruption, so you don't run into any problems like this ^^

Winslow Foxworth Coltrane: Nahhhhhhh. He's likin' what's going on here too much. Not even Otis on cocaine with a gun will separate him from you.

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finnmash · 5 months

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Fuck drugs, you ever like a ship of 2 random background characters that have never met, have very little or just insanely little screentime, and almost no shippers?

#vinrey post wowie #fnafhs #fnafhs vinrey #jeffrey fnafhs #vincent fnafhs #jeffrey x camera man #pinkcamera

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nerds-yearbook · 9 days

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The Millinium series finale aired on May 21, 1999. Like the Lone Gunmen, which was cancelled after one season, Millinium was allowed to finish its story on the X-Files with the episode titled "Millinium" that aired November 28, 1999. Millinium ran for 67 episodes. ("Good Bye To All That", Millinium, TV Event)

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diabolimeservavit666 · 2 years

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Suptober '22: Day 9 "Vintage"

Dagon slips the record into it's sleeve and hands it back to her little brother, Asmodeus, who's been awaiting her approval.

"How did you get this on vinyl?" she asks. He gives her that sassy little smirk of his before answering in the most casual tone possible.

"I know a guy." Dagon laughs.

"Of course, you do." Her eyes go to the door as they hear their older brother's steps on the porch. Asmodeus quickly hides the record in a stack of them on the shelf. Ramiel comes in through the door, eyeing the two suspiciously. He knows they're up to something.

"What about 'I want to be alone' do you two not understand?"

"Oh, come on." Dagon whines.

"Get out." Ramiel tells them, sternly. Dagon stays where she stands as Asmodeus goes to light a candle. Dagon breathes, shakily, at the flame. It reminded her of Azazel and she hasn't been right in the head since they found his body in the graveyard. She was going to make them pay but not quite yet. "Well, I said, get out!"

"How about no?" Asmodeus replies. "I'm sick of you trying to push me away, Ramiel. You've got to miss it, don't you? What we used to have."

"That was a long time ago." Ramiel says, his voice almost carefree. "It ended when you died in my arms. We can't be soft like that again."

"Oh, but we can." Asmodeus insists. Ramiel's face hardens.

"I'll give you two some space." Dagon says, wisely, grabbing the lit candle and heading off into another room.

"I'm not trying to make you weak!" Asmodeus snaps. "We're stronger together, brother. We always were. Even as kids."

"Then why are you here?"

"I just told you." Asmodeus inhales, sharply, composing himself. He walks over to the shelf, pulling out the record he had added to his brother's vast collection of vinyl, cassettes, CDs, etc. and puts it on. Soft, country music that threatens to own your soul and make you sway to the beat comes out of the old speaker. He then turns to approach Ramiel. "Let me seduce you. At least, for the night."

Ramiel leans into his touch as his brother cups his cheek. He missed that touch. "Let me own you." Asmodeus adds, at last.

"Is it really owning if I'm letting you do it?" Ramiel asks. Asmodeus chuckles, dangerously.

"Oh, I'm afraid I'm-a have to punish you for that."

"Give me your worst." Ramiel says, with a mischievous glint in his eyes.

"You sure about that, boy?" Ramiel grabs him by the collar and slams him down, pinning him to the floor.

"Fuck me and find out."

"Yes!" Dagon whispers to herself in the next room.

To give you a bit of background, I have a fantheory that when the Princes were human, Dagon and Azazel were together and so were Asmodeus and Ramiel. But, of course, something like that wouldn't just fade away. And Dagon ships the Hell out of those two.

@winchester-reload

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lo-diehards · 1 month

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2024 TV Season Analysis – Organized Crime Tops the Franchise, Law & Order Better, SVU Needs an Overhaul

The 2023-24 TV season has been a truncated TV season of 13 episodes, due the ongoing WGA/SAG-AFTRA strikes that happened last year. A lot of scripted TV was back burned until the strikes ended. TV writers struck their deal first and were back to work promptly, long before actors/actresses, this should have given time to plan out their already short season. Production crunched for 13 episodes to be shot between late November until this coming week, where SVU and mother ship reboot will be wrapping up shooting their finale episodes.

But where does this season grade in its entirety? I’m going to summarize – as much as I can - my views on where the franchise stands for this season from best to worst. Click below to read.

Organized Crime – The best in the franchise creatively, hands down!

New show runner/executive producer John Shiban (The X-Files) and his writing staff understood their assignment and have definitely delivered. Organized Crime is the most entertaining series in the franchise this season, week-over-week. The storylines are so fleshed out and they don’t drag on as they had since the series started. Shiban has shifted focus to the OC main characters and their backstories as well as expanding on the OC unit in its entirety. We’ve even seen 2 of SVU’s former stars show up (Tamara Tunie, Chief M.E. Melinda Warner / Dann Florek, Donald Cragen) as well as an appearance by Peter Scanavino (ADA Dominick Carisi). We have even been introduced to more of Stabler’s family, his brothers – portrayed by guest stars Dean Norris and Michael Trotter – and while they’ve come in and shook things up for Stabler, one thing I can point out, it’s the first season since OC premiered where I haven’t felt that Elliot Stabler is on a quest for vengeance or retribution of some kind.

The cast has been firing on all cylinders this season, especially with the episode that just aired last week (“Crossroads”), where one of OC’s new team members went missing and was found to be killed, Stabler having the bury his body as he is undercover with the group that found Detective-in-Training Samir Bashir (guest star Abubakr Ali). This story is still playing out so as of now we don’t fully know who killed him but I’m sure we’re about to find out. Stabler’s younger brother, Joe Jr. may have some involvement as the investigation is about to come full circle. Meanwhile, the scene in question in this episode has Christopher Meloni and Danielle Mone Truitt deliver their most powerful scene together yet in the series and they have delivered quite a few, this one stands out though.

Excellent only begins to describe it, and Organized Crime this season. Organized Crime has yet to be renewed for the 2024-25 TV season.

Law & Order (reboot) – It’s improved, but we still have a ways to go.

There is a lot to be said of the mother ship series, both the original and this reboot. But this reboot has seen a lot in its short time on air, in this short season alone the cast has changed twice already. Jeffrey Donovan (Detective Frank Cosgrove) and the series parted ways weeks before production was set to start and veteran Sam Waterston (District Attorney Jack McCoy) chose to depart before mid-season. Sam Waterston is/will greatly be missed and he leaves behind a full legacy on the show, which he joined in 1994! Meanwhile newcomers Reid Scott (Detective Vincent Riley) and Tony Goldwyn (District Attorney Nicholas Baxter) have been welcomed by fans with open arms. The cast of the reboot no matter which season is very solid and they are all very talented, but their talents often seem crippled.

The reboot seems to have an issue fleshing out the characters. Det. Jalen Shaw (Mehcad Brooks) and ADA Sam Maroun (Odelya Halevi) – and add DA Nick Baxter (Goldwyn) to me, week-in and week-out are the unsung heroes as with them we can see depth, we can understand why they make the decisions they make or feel the way they do on certain topics. I’m still on the fence about Riley’s development but he’s definitely has a more solid partnership with Shaw than Cosgrove did, and he certainly is a better character. I think they’ve got a great detective duo here – reminiscent of that of Ed Green (Jesse L. Martin) and Cyrus Lupo (Jeremy Sisto) in season 18. From about the third episode this season on up, there has been an improvement in the writing, I must say in comparison from where the season started. Most of the episodes this season seem to have one singular writer who stands out, Pamela Wechsler, who also serves as executive producer. Girl power!

What can help the reboot:

The writers need to get away from talking points and political affiliation when it comes to the characters and even the weekly storylines - looking at you show runner Rick Eid - it makes the characters come off as caricatures and stereotypes. And maybe not directly rip the episodes from the headlines near verbatim. It takes away from it if we already know how it plays out – where is “the Law & Order twist?” They need to deep dive into Vincent Reilly, Nolan Price (Hugh Dancy) and Kate Dixon (Camryn Manheim); we have talented actors on here, give them something that makes us stand up and clap and relate to these characters and stop making them one-dimensional, especially ADA Price. I must say I’ve been enjoying the legal side a bit more with the addition of Goldwyn’s Baxter, his back-and-forth every week with Price has a feel of the original series run, where we see multiple points of views on cases and it doesn’t feel/sound like rhetoric. And speaking of that run, it wouldn’t hurt for them to find ways to invest those old characters in the reboot. Just because Sam has departed doesn’t mean we still don’t want to see old faces or even faces from the other L&O series show up. Elisabeth Rohm (ADA Serena Southerlyn) and Milena Govich (Det. Nina Cassady) have directed episodes! Raul Esparza and Hugh Dancy both starred in Hannibal, I could see former-ADA now Defense Attorney Rafael Barba sitting at the defense table and likely wiping the floor with Price! Tony Goldwyn even wants Mariska Hargitay to direct an episode. Let’s make the mother ship enjoyable to watch again!

It was renewed for a 24th season (4th for the reboot). The mother ship has a second chance at greatness and to continue its legacy on television, not a lot of shows get that. It would be wise that those in charge on mother ship remember that.

SVU – The 25th milestone season ranks as one of the worst.

I originally had a two-page long document on this season of SVU alone and I’ve had to shorten it down and it’s still not that short. But if I had to describe the 25th record-breaking season of SVU in 1 word, that word would be “bad.” There are calls on social media for show runner/executive producer David Graziano to be fired from the series. I’m not one to openly call for people to lose their jobs, but clearly there is something wrong and the downward spiral of the ratings mixed with bad press for SVU episodes this season is showing that. Nothing about season 25 jumps out as milestone season and there are only a handful of episodes as of now, that I would consider episodes worth going back to watch again: “Tunnel Blind”, “Duty to Report”, “Probability of Doom”, and “Children of Wolves” which was directed by Mariska Hargitay.

It’s the writing and direction of this season, period. There is no other reason or excuse that flies. There is clearly no investment from the management level behind the scenes at SVU in this milestone season being the best it could have been. The Maddie storyline overtook the season and its resolution didn’t exactly hit the mark either. Where is the retrospective? Why haven’t we gone over past cases? Seen former victims/survivors (other than 2 minutes worth of Maria from “911”)? Why did Olivia stop seeing Dr. Lindstrom (Bill Irwin)? Where is the ‘healing?’ The guest stars? We haven’t seen any former stars, other than Kelli Giddish (Detective Amanda Rollins), and that proves to me that it was a mistake to fire her in the first place. “Where is the energy? Where is the spatter? This is life-less dreck. A cheap knock-off…” (diehard SVU fans; if you know, you know). But seriously, nothing about this season overall screams “25 years!”

With the season opener, I was sure David Graziano and the writers turned the page on the mess that was most of the entire 24th season of SVU. Turns out I was wrong to think it. It seems to be doubled down. It’s proof that despite his behavior, he’s just not a good fit for SVU. He doesn’t seem to understand how to write for this show and be the voice of who women/people look up to and the voice that victims and survivors need. I honestly think he would serve better on a Criminal Intent reboot or something since he seems to like that aspect of the crimes more so than investigatory and the legal side – Peter Scanavino’s screen time has greatly decreased and well as legal scenes.

What can help SVU:

A lot of damage is done, but it’s not irreversible. The best call is to replace the person at the top if they aren’t going to change themselves, (sorry but not sorry David). The popular eras of SVU are seasons 3-7 and again 13-17 and for good reason; Neal Baer and Warren Leight remain the two people who have seen SVU at their peaks. Going into a record breaking season 26, someone who can understand the intricacies of SVU needs to take the helm and get this show turned around. Focus needs to be on steadying the storylines and fleshing them out in a meaningful way to where they connect and not have crucial bits just disappear into thin air. We need to get SVU’s focus back on uplifting the voices of victims and survivors and their journeys, as well as to delve deep again into the world of the NYPD SVU squad. It’s not just about “rape case of the week” the actual SVU deals with kidnappings, crimes against the children, the disabled/elderly, working in conjunction with the Hate Crimes unit/federal govt., trafficking and more, let’s get the variety back in the crimes – and let’s stop showing the crime taking place on screen and in graphic manner. The crime scene analysis, forensics, court scenes and legalese needs to be put back into this series, I’ve honestly felt it decrease even before S24 as far back as some S22.

We need to see Carisi navigate through these cases and the back-and-forth with the defense as well as in his own bureau. We’ve yet to see Carisi interact with the district attorney (Jack McCoy, Sam Waterston – now Nick Baxter, Tony Goldwyn) much like his preceding ADAs. Benson’s character needs to go back to therapy and deal with her issues head on (Lindstrom, Bill Irwin), she had done that up until EDMR in season 24 became her new way and it’s not working for her, since the writers seem to use it now as a crutch to say “she’s healing” but then turn around and have her do things to suggest otherwise. Benson also needs to be written as a leader and delegator more so than taking every case away from her “squad” and solving them personally. Actually from a story standpoint it would be great to see Benson face repercussions for continually doing this, in the real world that would have consequences as how can she personally investigate cases and run the unit?

And with the unit, their stories need to be dissected more. Velasco (Octavio Pisano) in particular, he had an edge in season 23 as the new guy that might be a snitch for the Chief of Detectives (McGrath, Terry Serpico) but in season 24 they pushed this character into a corner with liking Detective Grace Muncy (Molly Burnett, who departed last season) and the Chilly storyline last season and can’t seem to get him out of that corner. Velasco comes off as “just there” much in the way Fin (ICE T) is starting to. And where is Phoebe (Jennifer Esposito)? Detective Bruno and Captain (to-Detective or Chief?) Curry (Kevin Kane and Aime Donna Kelly) are pretty much holding down the squad and are actually the more I look to, to solve the cases and they are the only ones peaking my interest.

SVU is heading to record-breaking season 26, if they want to reach their goal of stopping at 30. Dick Wolf, NBC and those behind the scenes need to get serious about it if that is what they really want. Otherwise, you’re about to have long-time viewers and new viewers alike turning away. Despite what people believe about ever-lasting loyalty, it does have an end date.

What do you think? Do you agree or disagree? Feel free to respond!

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creepypastabookclub · 27 days

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Donate to Palestine Children’s Relief Fund: https://www.pcrf.net/

The Door Is Open—come on in! This club meeting Jonah and Wednesday discuss the Dionaea House. The Window Is Open—yours! Now type in https://jawscast.neocities.org/ to visit our website.

If you have a small horror or web fiction project you want in the spotlight, email us! Send your name, pronouns and project to [email protected].

Music Credits: https://patriciataxxon.bandcamp.com/

The Story: https://web.archive.org/web/20041030020221/http://www.dionaea-house.com/default.htm

Our Tumblr: https://creepypastabookclub.tumblr.com/

Our Twitter: https://twitter.com/CreepypastaBC

Featuring Hosts:

Jonah (he/they) (https://withswords.tumblr.com/)

Wednesday (they/them) (https://www.instagram.com/xx_wormsday_xx/)

Works Cited:

The Amityville Cute Farting Cat: https://www.imdb.com/title/tt24200384/ Mama Lynn Saga: https://www.reddit.com/r/lgbt/comments/htulpj/my_son_came_out_need_advice/?utm_medium=android_app&utm_source=share , https://www.reddit.com/r/lgbt/comments/hussai/hay_yall_mama_lynn_update/ Smiling and Sitting #5: https://www.youtube.com/watch?app=desktop&v=tmrXakd_r6I A Burglar’s Guide to the City: -https://withswords.tumblr.com/post/746442663844249600/if-the-doors-locked-try-the-wall, https://burglarsguide.com/

Further Reading:

Caffarello, Vincent; Jennings, Evan; Koyal, Jeffrey; “EverymanHybrid”, https://www.youtube.com/user/everymanhybrid Chiang, Ted; Heisserer, Eric; Villeneuve, Denis, “Arrival”, https://www.imdb.com/title/tt2543164/ Danielewski, Mark Z, “House of Leaves” https://www.goodreads.com/en/book/show/24800 Ferrante, Anthony C; Frasco, Jay; Lando, Jeffery Scott; “House of Bones”, https://www.imdb.com/title/tt1334536/ Heisserer, Eric; Sandberg, David F; Wan, James; et al, “Lights Out”, https://www.imdb.com/title/tt4786282/ Horrorshow, Kitty; “Anatomy”, https://kittyhorrorshow.itch.io/anatomy Kelberman, Dina; Rackleff, Robby; Resnick, Alan; “This House has People In It”, https://www.youtube.com/watch?v=x-pj8OtyO2I Miles, Terry; Silver, Nic; “Tanis” http://tanispodcast.com/

Newall, Alexander J.; Sims, Jonathan; “The Magnus Archives” https://rustyquill.com/show/the-magnus-archives/

#creepypasta book club #The Dionaea House #creepypasta #podcast #season 03 #episode 38 #Spotify

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awriterofdivinedreams · 1 year

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Name Meanings/Etymologies of Devil May Cry Characters

Classic Devil May Cry Canon A: Agnus - lamb Alice - noble, of nobility Alex Lowell - to defend, to protect | young wolf Alyssa Martin - rational, noble | warlike, of Mars, warrior Amanda - worthy to be loved Angelina Hagel - messenger of god | farm Arius - warlike, devoted to Ares Arkham - happy

B: Beryl - colour of the sea Bobby - bright fame, shining glory Butler - servant in charge of the wine cellar

C: Carlo - man, free man Cindy - light Chen the Cannibal - dawn, morning, great, tremendous Christopher Lowell - bearer of Christ | young wolf Claude - lame, disabled Credo - I believe

D: Dante - enduring, steadfast, lasting Ducas - leader, to guide, general

E: Elena Huston - bright, shining light | hugh's town, settlement on the hill Elise - oath of God, God is satisfaction Ernest - serious, determined Enzo Ferino - home ruler | iron Eva - life, living one

F: Fredi - peaceful ruler

G: Gloria - glory Grue - shiver, shudder

I: Isaac - he will laugh

J: J.D. Morrison - son of the dark-skinned Jeffrey Turner - pledge of peace, district, traveler | lathe worker Jessica - to see before, god beholds, to behold Joe - he will add Julio - youthful, youth, downy bearded

K: Kalina Ann - viburnum tree, to make red-hot | grace, mercy, favour Kerry Marcus - dark, dark-haired | warlike, dedicated to Mars Kyle - narrow, strait, channel Kyrie - lord

L: Lady - noble, bread kneader Lucia - light Lynn Marcus - lake | warlike, dedicated to Mars

M: "Mad Dog" Denvers - crazy, insane | canine | green valley Margaret - pearl Mary - bitter, beloved, drop of the sea Matier - friend, friendly Michel - who is like God Mike Hagel - who is like God | farm

N: Nell Goldstein - bright, shining light, weaver, merciful, god is my light | gold stone, touchstone Nero - black, strong, powerful Nesty - place to sit down, pure, chaste Nicoletta “Nico” Goldstein - victory of the people | gold stone, touchstone Nina Lowell - little girl | young wolf

P: Patty Lowell - noble, patrician | young wolf Patty Lowell (heiress) - noble, patrician | young wolf Paul - small, little, humble

R: Rock Goldstein - crag | gold stone, touchstone Roy Martin - king, red, redhead | warlike, of Mars, warrior

S: Sally - princess, noblewoman Santa Claus - saint, holy | victory of the people Sanctus - holy Simon - he has heard, flat-nosed Soldier “Crew Cut” - mercenary | short-length haircut Solemnis - annual, ceremonial, religiously fixed Sparda - sword, simple, frugal

T: Tiki - hope, waterfall, image Tim - to honour

V: V “Vitale” - Roman numeral for five | life giving, lively Vergil - flourishing Vincent - to conquer

X: χ (Chi) - christ, Greek numeral for six hundred

BOSSES and/or DEMONS

A: Abigail - father's joy Argosax - bright, shining Agni - fire, flame Artemis - butcher, safe

B: Bael - lord, master Balrog - demon of might Baul - snail, slow like a snail Beastheads - wild animal | top of body, leader, ruler Belphagor - lord of the gap, lord of the opening Beowulf - bee wolf, war wolf, bear Berial - worthless Bolverk - evildoer, worker of evil Bradley - broad meadow Brian Lowell - noble, high, hill, strong | young wolf

C: Cavaliere Angelo - knight, horseman, rider | messenger of god Cerberus - hound of the earth, black wolfhound, death-darkness

D: Dagon - grain, fish Demon of Capulet City - spirit | hat | citizen Demon of Morris Island - spirit | dark-skinned | watery land Director - to guide Doppelganger - double-goer, double-walker

E: Echidna - snake, viper Elder Geryon Knight - old | earth | boy, youth, servant

F: Freki - greedy, ravenous Frost - to freeze Furiataurus - fury of the bull, furious bull

G: Geri - rules with a spear, greedy Geryon - earth Gigapede - giant foot Gilgamesh - the ancestor is a hero Gilver - [ERROR 404: meaning of word not found]

Gilbert - bright pledge

Goliath - to uncover, reveal, running, destroyer Griffon - curved, bent

H: Hell Vanguard - to cover, conceal | before guard

I: Infested Chopper - to attack, hostile | helicopter Infested Tank - to attack, hostile | reservoir of water

J: Jester - reciter of romances, minstrel Jokatgulm - [ERROR 404: meaning of word not found]

K: King Cerberus - ruler | hound of the earth, black wolfhound, death-darkness

L: Leviathan - to twist, coiled

M: Machiavelli - bad little nail Mad Hatter - crazy, insane | maker of hoods, maker of cowls Malphas - mischief Modeus [Asmodeus] - wrathful spirit, demon of wrath Mundus - world

N: Nefascapitis - head of sin, head of violation of divine law Nefasturris - tower of sin, tower of violation of divine law Nefasvermis - worm of sin, worm of violation of divine law Nelo Angelo - black, strong, powerful | messenger of god Nevan - little saint, little holy one Nidhogg - malice striker Nightmare - a female demon suffocates sleepers Nina Lowell (demon) - little girl | young wolf Noctpteran - night wing

O: Orangguerra - war orangutan

P: Phantom - an apparition, specter Plesio - near, close Plutonian - relating to wealth, relating to riches Pride - brave, pomp, valiant Priest - one who leads cattle

Q: Qliphoth - husks, empty shells

R: Red Eye - airplane flight that deprives travelers of sleep, raw and inferior whiskey Rudra - howler, roarer, to cry

S: Sara - princess, noblewoman Secretary - one entrusted with secrets Sid - wide Sloth - indolence, slowness, laziness

T: Tartarussian - relating to a deep pit Tateobesu - vertical, length, height | fat, stout, plump The Savior - the one who saves others Trismagia - three magicians

U: Urizen - your reason, to limit

W: White Rabbit - bright, shine | young rabbit

Ninja Theory's DmC: Devil May Cry Canon

A: Assiel - created by god

B: Bob Barbas - bright fame, shining glory | beard, uncle, stammering

D: Dante (DmC) - enduring, steadfast, lasting

E: Eva (DmC) - life, living one

H: Hollow Dante - empty place | enduring, steadfast, lasting Hollow Kat - empty place | pure, clear Hollow Vergil - empty place | flourishing Hunter - one who chases wild animals

K: Kat - pure, clear

L: Lilith - spirit of the night

M: Mundus (DmC) - world Mundus's Spawn - world | to spread out, expand

P: Phineas - mouth of brass, dark skinned, serpent's mouth

S: Sparda (DmC) - sword, simple, frugal Succubus - to lie beneath

V: Vergil (DmC) - flourishing

#Devil May Cry #Dante Sparda #Vergil Sparda #Nero Sparda #Eva Sparda #Sparda #Patty Lowell #Lady DMC #Trish Sparda #Too lazy to add more character tags #The written word #Tis mine #Helpful tips #I make lists when I'm bored #Name Meanings #Word Etymologies #Writer’s Random Research #nicoletta goldstein

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lena-after-dark · 2 years

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Masterlist

Who I write for is listed below:

Individual masterlists will be linked as they are created. Don't see a character you like? Send me an ask! I may be willing to add them.

American Horror Story

The Countess Dandy Mott Misty Day

Bates Motel/Psycho

Norma Bates Norman Bates

Blade

Deacon Frost Eric Brooks/Blade Mercury

Bleach

Byakuya Kuchiki Findorr Calius Gin Ichimaru Jin Kariya Kenpachi Zaraki Kensei Muguruma Mayuri Kurotsuchi Retsu Unohana Ryo Utagawa Sosuke Aizen Szayelaporro Granz Yoshi

Cabinet of Curiosities

Jenkins Brown (possessing Walter) Richard Pickman Walter Gilman

Cobra Kai/The Karate Kid

Da-Eun Kim Daniel LaRusso John Kreese Terry Silver

Courage the Cowardly Dog

Black Puddle Queen Freaky Fred

The Crow

Eric Draven Myca Top Dollar

Bruce Wayne/Batman (Bale) Edward Nashton/The Riddler (Dano) Edward Nygma/The Riddler (Carrey + Smith) Fish Mooney Harley Quinn (Robbie) Jervis Tetch/ Hatter Jonathan Crane/Scarecrow (Murphy) Joker (Ledger + Phoenix) Orm Marius Oswald Cobblepot (Taylor) Victor Zsasz (Carrigan)

Dead to Me

Jen Harding Judy Hale

Disney (* denotes live action only)

Claude Frollo Cruella DeVil* (2021) Diaval* Maleficent* King Stefan*

Evil Dead Rise

Ellie

The Faculty

Edward Furlong Elizabeth Burke Joe Willis

Firefly Trilogy

Baby Firefly Otis B Driftwood Foxy Coltraine

Final Fantasy

Cid Bunansa/Dr. Cid Kadaj Loz Lulu Rufus Shinra Sephiroth Seymour Guado Vayne Solidor Vincent Valentine Yazoo

Funny Games

Paul Peter

Game of Thrones

Brienne of Tarth Cersei Lannister Jaqen H'Ghar Margaery Tyrell Melisandre Petyr Baelish Ramsay Bolton

House of the Dragon

Aemond Targaryen Daemon Targaryen Larys Strong

Hunter x Hunter

Chrollo Lucifer Hisoka Morou Illumi Zoldyck Uvogin

Insidious

Josh Lambert + Parker Crane possessing Josh Steven "Specs" Fisher

Jujutsu Kaisen

Choso Kamo Geto Suguru (+ Kenjaku) Mahito Mei Mei Nanami Kento Ryomen Sukuna Toji Fushiguro

The Legend of Zelda

Ganondorf (Twilight Princess) Ghirahim Midna Sidon Zant

The Letter for the King

Jaro Viridian

Lord of the Rings/The Hobbit

Beorn Grima Wormtongue Thranduil

MCU

Agatha Harkness Heimdall Hela M'Baku Melina Vostokoff Namor/K’uk’ulkan Natasha Romanoff Norman Osborn/Green Goblin Okoye Olivia Octavius/Doc Ock Otto Octavius/Doc Ock Peter Parker (Maguire) Ultron Wanda Maximoff

My Hero Academa

Enji Todoroki/Endeavor Shota Aizawa/Eraserhead

Naruto

Deidara Hidan Kakazu Kisame Orochimaru

One Piece (Live Action ONLY)

Buggy Garp Kuro Sanji

Repo! The Genetic Opera

Amber Sweet Luigi Largo Nathan Wallace Pavi Largo

Saw

Adam Faulkner-Stanheight Amanda Young John Kramer

Silent Hill

Pyramid Head Vincent Smith

Stranger Things

001/Henry Creel Dmitri "Enzo" Antonov Joyce Byers

Thirteen Ghosts:

Dana Newman/The Angry Princess Dennis Rafkin Horace Mahoney/The Juggernaut Royce Clayton/The Torn Prince Ryan Kuhn/The Jackal

Us:

Abraham Tex

Wednesday

Larissa Weems Marilyn Thornhill

Would You Rather

Julian Lambrick Shepard Lambrick

X-Files

Cecil L'ively Dana Scully Fox Mulder Luther Lee Boggs

Misc. Characters

Adrian Tepes/Alucard (Castlevania) Albert Shaw/The Grabber (The Black Phone) Bill Cipher (Gravity Falls) Bo Sinclair (House of Wax) Cesaire (Red Riding Hood) Commodus (Gladiator) Creepy Thin Man (Charlie's Angels) Daniel Robitaille/Candyman (1992) Doug Davis (Cooties) Dracula (Lugosi + Bang) Ellie (Evil Dead Rise) Habit (EverymanHYBRID) John Ryder (The Hitcher) John Wick Kruger (Elysium) Kusuriuri/Medicine Seller (Mononoke) L Lawliet (Death Note) The Man (Hush) Moira (The Princess) Quentin Shermer/The Blissfield Butcher (Freaky) Rachel Summers (The Uninvited) Ransom Drysdale (Knives Out) Ross Humboldt (In the Tall Grass)

Celebrities* (see request rules)

Angela Bassett Idris Elba Jeffrey Dean Morgan Kathryn Hahn Patrick Wilson Sigourney Weaver Vera Farmiga

#masterlist #fandom list #character list

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mayhemlovesenvy · 6 months

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Them. Again. In love. Perhaps too much. More than necessary

Close ups for meee

#jeffrey fnafhs #vincent x jeffrey #vinrey #fnafhs #fhs #fhsz3r0 #secret silly project #vincent abston #old man yaoi

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slashingdisneypasta · 1 year

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Horror Villains and: What They Would Put in the Hat

(The 7 Minutes in Heaven hat)

This was pretty much inspired by This post by @your-mxnd-is-mxne ! ^^

Warnings: Cursing and gore (As in limbs being put in the hat)

Animal the Cannibal: A potato peeler. BE CAREFUL.

Baby Firefly: A cute scrunchie. Put it in your hair!! She thinks you'll look so cute ^^ If you don't have hair/its too short, you can put it in hers! ^^ (So basically you win everything)

Billy Loomis: A folded up poster for the local cinema's horror night. They're playing Psycho, The Birds and then Psycho 2 Back-To-Back.

Bo Sinclair: Little plyers. he never leaves home without them, so you better give them back! Play nice and he may use them on you *cough*

Bubba Sawyer: A pig femur... its not clean...

Candyman: A little leather bound journal with his poetry in it. If he likes you, maybe he'll read you some!!

Captain Spaulding: A pamphlet for his shop! He'd just fucken love to show you around.

Carrie White: A pencil. She wasn't sure and she didn't have a whole lot on her! she hopes that's okay ^^

Chop Top Sawyer: His sunnies! Not his wig, that's special. But you got his glasses! He even wants to see you put them on.

Chucky Lee Ray: He put his whole damn shoe in there. I mean, he's a doll. Why not? // If he's in his human form, though, maybe... a... condom...

BONUS for @your-mxnd-is-mxne because its their idea in the first place ^^ Daddy Hall- *cough* I mean Doc Halloran!: Bullet casing. Its, oddly enough, the only thing that was in his pockets?? 😅 After all he is only here to hunt Leslie- see if you can distract him, though.

Dr Suave: A pack of tooth floss from his pocket. He's a dentist, what do you expect from him?

Drayton Sawyer: The keys to the chilly van (Its all he had on him). He's gonna want them back.

Freddy Krueger: A scrap oh his sweater and it turns to dirty brown dust as soon as you see what it is.

Granny Boone: Buckman's initialed handkerchief.

Harper Alexander: A twig that's been widdled a whole bunch. It may snap in your hand- don't you worry, he don't mind ^^

Inkubus: Ripped piece of paper with a backwards K scribbled into it. You get ink stains on your fingers.

Jack Dante: An action figure! Probably He-Man or something. You can play with it for now but you're gonna give it back when he goes home.

Jason Voorhees: A chunk of moss. Its squishy and fresh.

Jedidiah Sawyer: A tie! He's a well dressed man and always brings an extra XD

Jennifer Check: Cherry Coke Chapstick! You know she's that super cool person who had all the branded soda flavours. And she may even apply some to you~

Jerry Dandridge: His scarf. And its cold- why don't you wear it for a while?~ He's very charming. And this is the man you're gonna get stuck in a closet alone with for nearly 10 minutes! Goodluck-

Leslie Vernon: His mask. He's gotta spread the word!! Make sure people know who he is! This felt like a marketing opportunity.

Lester Sinclair: That grizzly lookin' knife of his. Listen to him chat about it and he'll love you forever.

Luda Mae Hewitt: Wooden spoon. Her logic? If she goes in there with someone iffy she can beat them with it.

Max Grief: Cassette tape out of his car. He wasnt sure what to really put in, so, *shrug*

Mayor Buckman: Boone's initialed handkerchief (Yeahhhh, they're cute like that XD).

Mental Manny: Straw twisted and bent into the shape of some satanic symbol. You feel uncomfortable holding it. But oh, he wants you to have it now~~ A gift.

Michael Myers: Someone's ear.

Mickey Altieri: A snack. Like a cookie from a vending machine or a pack of 2 minute noodles. You can have it, no worries.

Midnight Man: The page with the names on it. ... wanna play a game?

Miss Quinn: Her hand mirror. Come on now, sweetheart!!~ We'll make you look pretty.

Monty Hewitt: A screwdriver. You got anything he can fix up rela quick? He doesn't mind, if it means he can get away from Hoyt for a bit.

Otis B. Driftwood: You don't wanna know. I'm not telling you. Put it down.

Pamela Voorhees: Her drivers licence. She was looking in her wallet and thought it was logical- plus she sure as hell wasn't putting in her polaroid of Jason.

Patrick Bateman: His card, of course. Its so damn crisp- you get a paper cut.

Pennywise: A horn! Honk honk!

Rocco the Clown: Some poor bastard's kneecap. Yes. A kneecap. And I still won't tell you what Otis put in the hat.

Roman Bridger: A very fancy pen. The kind thats like 50 dollars for one. It's for signing contracts but he likes to show off that he has it.

Sheriff Hoyt / Charlie Hewitt Jr: 'His' sheriff's badge! He wants you to comment on it, too- call him Sheriff Hoyt- stroke his ego. That's all he wants.

Stu Macher: A lollipop! You can have it, he's already sucking one. You two can have matching blue tongues!

Stuart Lloyd: Someone forced him to chuck in the USB that his little movie is on- he's terribly anxious about it and hope that you'll just give it right back and don't play it. Its not done...

DBD! The Clown: A little travel bottle with a suspicious liquid inside. He suggests that you drink it... I suggest you do not. Unless, you know, you're into it-

DBD! The Deathslinger: A wrench. He's a handy man and never leaves the house without his handy wrench!

The Djinn: ... the jewel...

DBD! The Huntress: A bunny ear from a bunny doll. She can do it herself but if you sew it back onto her dolly then you have a friend for life.

The Man (Hush): A switchblade. He's gonna want it back but (; you can keep it while you're in the closet with him if it makes you feel safer.

Taxidermist: Some kind taxidermists tool. Maybe a fleshing cone or a necker knife.

Thomas Hewitt: A pretty rock. 🪨

Vincent Sinclair: A notepad so he can talk to you if you don't know sign language ^^

Winslow Foxworth Coltrane: A crushed can of coke. He doesn't carry shit around with him and he sure as fuck is not handing over his knife.

274 notes · View notes

sexy-footballer-dreams · 3 years

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Players summary

All posts of a specific player. The players listed here are ordered alphabetically and only players are listed that have appeared on this blog.

• 🔗 Abdelhamid Sabiri 🇲🇦

• 🔗 Achraf Hakimi 🇲🇦

• 🔗 Allan Saint-Maximin 🇫🇷

• 🔗 Alphonso Davies 🇨🇦

• 🔗 Amine Adli 🇫🇷

• 🔗 Amine Harit 🇲🇦

• 🔗 André Trinidade 🇧🇷

• 🔗 Andrey Santos 🇧🇷

• 🔗 Ansu Fati 🇪🇸

• 🔗 Antonee Robinson 🇺🇸

• 🔗 Antonio Rüdiger 🇩🇪

• 🔗 Ashley Young 🏴󠁧󠁢󠁥󠁮󠁧󠁿

• 🔗 Aurélien Tchouaméni 🇫🇷

• 🔗 Ben Godfrey 🏴󠁧󠁢󠁥󠁮󠁧󠁿

• 🔗 Breel Embolo 🇨🇭

• 🔗 Bruno Guimaraes 🇧🇷

• 🔗 Bukayo Saka 🏴󠁧󠁢󠁥󠁮󠁧󠁿

• 🔗 Christian Kouamé 🇨🇮

• 🔗 Christopher Scott 🇩🇪

• 🔗 Cody Gakpo 🇳🇱

• 🔗 David Alaba 🇦🇹

• 🔗 David Neres 🇧🇷

• 🔗 Dayot Upamecano 🇫🇷

• 🔗 Denzel Dumfries 🇳🇱

• 🔗 Duván Zapata 🇨🇴

• 🔗 Eduardo Camavinga 🇫🇷

• 🔗 #Ellis Harrison 🏴󠁧󠁢󠁷󠁬󠁳󠁿

• 🔗 Ezri Konsa 🏴󠁧󠁢󠁥󠁮󠁧󠁿

• 🔗 Francis Amuzu 🇧🇪

• 🔗 Gabriel Jesus 🇧🇷

• 🔗 Gabriel Martinelli 🇧🇷

• 🔗 Gavin Bazunu 🇮🇪

• 🔗 Geisson Perea 🇨🇴

• 🔗 Geoffrey Kondogbia 🇨🇫

• 🔗 Hee-Chan Hwang 🇰🇷

• 🔗 Hueng-min Son 🇰🇷

• 🔗 Ibrahima Konaté 🇫🇷

• 🔗 Irfan Fandi Ahmad 🇸🇬

• 🔗 Jacob Ramsey 🏴󠁧󠁢󠁥󠁮󠁧󠁿

• 🔗 Jeffrey Schlupp 🇬🇭

• 🔗 Jeremy Doku 🇧🇪

• 🔗 Jesse Lingard 🏴󠁧󠁢󠁥󠁮󠁧󠁿

• 🔗 Joao Gomes 🇧🇷

• 🔗 Joe Gomez 🏴󠁧󠁢󠁥󠁮󠁧󠁿

• 🔗 Jonathan David 🇨🇦

• 🔗 Joshua Zirkzee 🇳🇱

• 🔗 Jude Bellingham 🏴󠁧󠁢󠁥󠁮󠁧󠁿

• 🔗 Jules Koundé 🇫🇷

• 🔗 Julian Alvarez 🇦🇷

• 🔗 Jurriën Timber 🇳🇱

• 🔗 Justin Kluivert 🇳🇱

• 🔗 Keshi Anderson 🏴󠁧󠁢󠁥󠁮󠁧󠁿

• 🔗 Kingsley Coman 🇫🇷

• 🔗 Kylian Mbappé 🇫🇷

• 🔗 Lautaro Martinez 🇦🇷

• 🔗 Leon Bailey 🇯🇲

• 🔗 Leroy Sané 🇩🇪

• 🔗 Lisandro Martinez 🇦🇷

• 🔗 Lyle Foster 🇿🇦

• 🔗 Manuel Akanji 🇨🇭

• 🔗 Manuel Benson 🇧🇪

• 🔗 Marcus Rashford 🏴󠁧󠁢󠁥󠁮󠁧󠁿

• 🔗 Mario Lemina 🇬🇦

• 🔗 Matheus Pereira 🇧🇷

• 🔗 Michy Batshuayi 🇧🇪

• 🔗 Nathan Aké 🇳🇱

• 🔗 Odion Ighalo 🇳🇬

• 🔗 Ollie Watkins 🏴󠁧󠁢󠁥󠁮󠁧󠁿

• 🔗 Paulinho 🇧🇷

• 🔗 Pedri 🇪🇸

• 🔗 Pervis Estupiñán 🇪🇨

• 🔗 Quincy Promes 🇳🇱

• 🔗 Raheem Sterling 🏴󠁧󠁢󠁥󠁮󠁧󠁿

• 🔗 Reece James 🏴󠁧󠁢󠁥󠁮󠁧󠁿

• 🔗 Renato Sanches 🇵🇹

• 🔗 Rico Lewis 🏴󠁧󠁢󠁥󠁮󠁧󠁿

• 🔗 Rodri 🇪🇸

• 🔗 Rodrygo Goes 🇧🇷

• 🔗 Romain Saiss 🇲🇦

• 🔗 Romelu Lukaku 🇧🇪

• 🔗 Romeo Lavia 🇧🇪

• 🔗 Ronald Araujo 🇺🇾

• 🔗 Ryan Gravenberch 🇳🇱

• 🔗 Salomon Kalou 🇨🇮

• 🔗 Samuel Da Granada 🇧🇷

• 🔗 Steven Bergwijn 🇳🇱

• 🔗 Tajon Buchanan 🇨🇦

• 🔗 Tammy Abraham 🏴󠁧󠁢󠁥󠁮󠁧󠁿

• 🔗 Thiago Silva 🇧🇷

• 🔗 Trent Alexander-Arnold 🏴󠁧󠁢󠁥󠁮󠁧󠁿

• 🔗 Tyrone Mings 🏴󠁧󠁢󠁥󠁮󠁧󠁿

• 🔗 Vincent Kompany 🇧🇪

• 🔗 Vinicius Jr 🇧🇷

• 🔗 Virgil Van Dijk 🇳🇱

• 🔗 Vitinho 🇧🇷

• 🔗 Vitor Jacaré 🇧🇷

• 🔗 Weston McKennie 🇺🇸

• 🔗 Wilfried Bony 🇨🇮

• 🔗 Wilfried Zaha 🇨🇮

• 🔗 Xavi Simons 🇳🇱

• 🔗 Yeboah Amankwah 🇬🇭

8 notes · View notes

bookclub4m · 2 years

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Episode 158 - Audiobook Fiction

This episode we’re talking about Audiobook Fiction! We discuss narrators vs casts, sound effects, music, adaptations, footnotes, and more! Plus: How do you picture the hosts in your mind when you listen to us?

You can download the podcast directly, find it on Libsyn, or get it through Apple Podcasts, Stitcher, Google Podcasts, or your favourite podcast delivery system.

In this episode

Anna Ferri | Meghan Whyte | Matthew Murray | Jam Edwards

Things We Read (or tried to…)

Gemina by Amie Kaufman and Jay Kristoff, narrated by a full cast

Coasting Trade by Robin McGrath, narrated by Robert Joy, Rick Boland, and Anita Best

Things We Lost in the Fire by Mariana Enríquez, translated by Megan McDowell, narrated by Tanya Eby

The Sentence by Louise Erdrich

Convenience Store Woman by Sayaka Murata, translated by Ginny Tapley Takemori, narrated by Nancy Wu

What Are You Going Through by Sigrid Nunez, narrated by Hillary Huber

Other Media We Mentioned

The Hitchhiker's Guide to the Galaxy Tertiary to Hexagonal Phases (Wikipedia)

The War of the Worlds (1938 radio drama) (Wikipedia)

What We See When We Read by Peter Mendelsund

Welcome to Nightvale (podcast)

Mostly Void, Partially Stars: Welcome to Night Vale Episodes #1 by Joseph Fink and Jeffrey Cranor

99% Invisible (podcast)

The 99% Invisible City: A Field Guide to the Hidden World of Everyday Design by Roman Mars and Kurt Kohlstedt

The Anthropocene Reviewed (podcast)

The Anthropocene Reviewed by John Green

The Princess Bride by William Goldman

Control (video game)

Control || Talking Simulator

Nimona by N.D. Stevenson

Nimona by N.D. Stevenson, narrated by Rebecca Soler, Jonathan Davis, and Marc Thompson

The Stanley Parable (Wikipedia) (it’s not quite as narrated as Matthew and Jam implied)

Official website

Gadsby (novel) by Ernest Vincent Wright (Wikipedia)

“does not include any words that contain the letter E”

A Void by Georges Perec (Wikipedia)

“entirely without using the letter e”

War and Peace by Leo Tolstoy, translated by Richard Pevear and Larissa Volokhonsky

Illuminae by Amie Kaufman and Jay Kristoff

My Brain is Different: Histoires of ADHD and Other Developmental Disorders by MONNZUSU

Project X: Challengers - Seven Eleven by Tadashi Ikuta and Namoi Kimura

Project Hail Mary by Andy Weir, narrated by Ray Porter

The Sandman (audiobook version)

Leave the World Behind by Rumaan Alam, narrated by Marin Ireland

House of Leaves by Mark Z. Danielewski

Links, Articles, and Things

Episode 133 - Flash Fiction

Episode 108 - Visual Novels

Serre - Kinda bilingual anglos play French-language Visual Novel

Episode 027 - Non-Fiction Audiobooks

Audie Awards

Turns Out Not Everyone Can Picture Things In Their Mind And Sorry, What?

Lowly Worm (Wikipedia)

Let's Play (Wikipedia)

Oulipo (Wikipedia)

24-hour comic

Episode 047b - Terrible Stories by Matthew (you have been warned)

Episode 142 - Sequels and 2022: The Year of Book Two

ISO 8601 (Wikipedia) (date standard)

June Is #audiomonth: Narrator Trading Cards Giveaway

Two-Fisted Library Stories (Twitter bot)

Digital Accessible Information System (Wikipedia)

20 Fiction Audiobooks written & read by BIPOC (Black, Indigenous, & People of Colour) Authors and Narrators

Every month Book Club for Masochists: A Readers’ Advisory Podcasts chooses a genre at random and we read and discuss books from that genre. We also put together book lists for each episode/genre that feature works by BIPOC (Black, Indigenous, & People of Colour) authors. All of the lists can be found here.

Counterfeit by Kirstin Chen, narrated by Catherine Ho

Firekeeper's Daughter by Angeline Boulley, narrated by Isabella Star LaBlanc

The Night Watchman by Louise Erdrich, narrated by the author

Brown Girl in the Ring by Nalo Hopkinson, narrated by Peter Jay Fernandez

Ninefox Gambit by Yoon Ha Lee, narrated by Emily Woo Zeller

The Memory Librarian and Other Stories of Dirty Computer by Janelle Monáe, Yohanca Delgado, Eve L. Ewing, Alaya Dawn Johnson, Danny Lore, Sheree Renée Thomas; narrated by Janelle Monae and Bahni Turpin

Nightcrawling by Leila Mottley, narrated by Joniece Abbott-Pratt

Convenience Store Woman by Sayaka Murata, translated by Ginny Tapley Takemori, narrated by Nancy Wu

Binti by Nnedi Okorafor, narrated by Robin Miles

War Girls by Tochi Onyebuchi, narrated by Adepero Oduye

The Swimmers by Julie Otsuka, narrated by Traci Kato-Kiriyama

The Beadworkers by Beth Piatote narrated by the author, Christian Nagler, Fantasia Painter, Drew Woodson, Phillip Cash Cash and Keevin Hesuse

Dating Dr. Dil by Nisha Sharma, narrated by Soneela Nankani, Sunil Malhotra and Vikas Adam

An Unkindness of Ghosts by Rivers Solomon, narrated by Cherise Boothe

Four Aunties and a Wedding by Jesse Q. Sutanto, narrated by Risa Mei

The Strangers by Katherena Vermette, narrated by Michaela Washburn

On Earth We’re Briefly Gorgeous by Ocean Vuong, narrated by the author

Zone One by Colson Whitehead, narrated by Beresford Bennett

The Seed Keeper by Diane Wilson, narrated by Kyla Garcia

Interior Chinatown by Charles Yu, narrated by Joel de la Fuente

Give us feedback!

Fill out the form to ask for a recommendation or suggest a genre or title for us to read!

Check out our Tumblr, follow us on Twitter or Instagram, join our Facebook Group, or send us an email!

Join us again on Tuesday, September 20th when we’ll be discussing the winner of our “we all read the same book” poll and discussing Hurts So Good: The Science and Culture of Pain on Purpose by Leigh Cowart!

Then on Tuesday, October 4th we’ll be talking about the genre of Fictional Biographies!

#episodes #genres #formats #audiobooks #fiction

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diabolimeservavit666 · 2 years

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Asmodeus: Would you, Mr. Ketch, be interested in- Ketch: Yes. Asmodeus: I didn't even finish. Ketch: Whatever it is, yes, I'll do it. As long as our arrangements have not changed. Asmodeus: *smiles because he's getting laid*

#ketch has no idea what hes signed up for #he will now xd #asmodeus accidentally getting exactly what he wants #sorry not sorry #charged as guilty #i couldnt resist #asmothur #ketchmodeus #ketch x asmodeus #arthur ketch #david haydn jones #asmodeus #jeffrey vincent parise #british men of letters #princes of hell #spn incorrect quotes #incorrect princes of hell #incorrect british men of letters

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jcmarchi · 6 months

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Google at NeurIPS 2023

New Post has been published on https://thedigitalinsider.com/google-at-neurips-2023/

Google at NeurIPS 2023

This week the 37th annual Conference on Neural Information Processing Systems (NeurIPS 2023), the biggest machine learning conference of the year, kicks off in New Orleans, LA. Google is proud to be a Diamond Level sponsor of NeurIPS this year and will have a strong presence with >170 accepted papers, two keynote talks, and additional contributions to the broader research community through organizational support and involvement in >20 workshops and tutorials. Google is also proud to be a Platinum Sponsor for both the Women in Machine Learning and LatinX in AI workshops. We look forward to sharing some of our extensive ML research and expanding our partnership with the broader ML research community.

Attending for NeurIPS 2023 in person? Come visit the Google Research booth to learn more about the exciting work we’re doing to solve some of the field’s most interesting challenges. Visit the @GoogleAI X (Twitter) account to find out about Google booth activities (e.g., demos and Q&A sessions).

You can learn more about our latest cutting edge work being presented at the conference in the list below (Google affiliations highlighted in bold). And see Google DeepMind’s blog to learn more about their participation at NeurIPS 2023.

Anonymous Learning via Look-Alike Clustering: A Precise Analysis of Model Generalization Adel Javanmard, Vahab Mirrokni

Better Private Linear Regression Through Better Private Feature Selection Travis Dick, Jennifer Gillenwater*, Matthew Joseph

Binarized Neural Machine Translation Yichi Zhang, Ankush Garg, Yuan Cao, Łukasz Lew, Behrooz Ghorbani*, Zhiru Zhang, Orhan Firat

BoardgameQA: A Dataset for Natural Language Reasoning with Contradictory Information Mehran Kazemi, Quan Yuan, Deepti Bhatia, Najoung Kim, Xin Xu, Vaiva Imbrasaite, Deepak Ramachandran

Boosting with Tempered Exponential Measures Richard Nock, Ehsan Amid, Manfred Warmuth

Concept Algebra for (Score-Based) Text-Controlled Generative Models Zihao Wang, Lin Gui, Jeffrey Negrea, Victor Veitch

Deep Contract Design via Discontinuous Networks Tonghan Wang, Paul Dütting, Dmitry Ivanov, Inbal Talgam-Cohen, David C. Parkes

Diffusion-SS3D: Diffusion Model for Semi-supervised 3D Object Detection Cheng-Ju Ho, Chen-Hsuan Tai, Yen-Yu Lin, Ming-Hsuan Yang, Yi-Hsuan Tsai

Eliciting User Preferences for Personalized Multi-Objective Decision Making through Comparative Feedback Han Shao, Lee Cohen, Avrim Blum, Yishay Mansour, Aadirupa Saha, Matthew Walter

Gradient Descent with Linearly Correlated Noise: Theory and Applications to Differential Privacy Anastasia Koloskova*, Ryan McKenna, Zachary Charles, J Keith Rush, Hugh Brendan McMahan

Hardness of Low Rank Approximation of Entrywise Transformed Matrix Products Tamas Sarlos, Xingyou Song, David P. Woodruff, Qiuyi (Richard) Zhang

Module-wise Adaptive Distillation for Multimodality Foundation Models

Chen Liang, Jiahui Yu, Ming-Hsuan Yang, Matthew Brown, Yin Cui, Tuo Zhao, Boqing Gong, Tianyi Zhou

Multi-Swap k-Means++ Lorenzo Beretta, Vincent Cohen-Addad, Silvio Lattanzi, Nikos Parotsidis

OpenMask3D: Open-Vocabulary 3D Instance Segmentation Ayça Takmaz, Elisabetta Fedele, Robert Sumner, Marc Pollefeys, Federico Tombari, Francis Engelmann

Order Matters in the Presence of Dataset Imbalance for Multilingual Learning Dami Choi*, Derrick Xin, Hamid Dadkhahi, Justin Gilmer, Ankush Garg, Orhan Firat, Chih-Kuan Yeh, Andrew M. Dai, Behrooz Ghorbani

PopSign ASL v1.0: An Isolated American Sign Language Dataset Collected via Smartphones Thad Starner, Sean Forbes, Matthew So, David Martin, Rohit Sridhar, Gururaj Deshpande, Sam Sepah, Sahir Shahryar, Khushi Bhardwaj, Tyler Kwok, Daksh Sehgal, Saad Hassan, Bill Neubauer, Sofia Vempala, Alec Tan, Jocelyn Heath, Unnathi Kumar, Priyanka Mosur, Tavenner Hall, Rajandeep Singh, Christopher Cui, Glenn Cameron, Sohier Dane, Garrett Tanzer

Semi-Implicit Denoising Diffusion Models (SIDDMs) Yanwu Xu*, Mingming Gong, Shaoan Xie, Wei Wei, Matthias Grundmann, Kayhan Batmanghelich, Tingbo Hou

State2Explanation: Concept-Based Explanations to Benefit Agent Learning and User Understanding Devleena Das, Sonia Chernova, Been Kim

StoryBench: A Multifaceted Benchmark for Continuous Story Visualization Emanuele Bugliarello*, Hernan Moraldo, Ruben Villegas, Mohammad Babaeizadeh, Mohammad Taghi Saffar, Han Zhang, Dumitru Erhan, Vittorio Ferrari, Pieter-Jan Kindermans, Paul Voigtlaender

Subject-driven Text-to-Image Generation via Apprenticeship Learning Wenhu Chen, Hexiang Hu, Yandong Li, Nataniel Ruiz, Xuhui Jia, Ming-Wei Chang, William W. Cohen

TpuGraphs: A Performance Prediction Dataset on Large Tensor Computational Graphs Phitchaya Mangpo Phothilimthana, Sami Abu-El-Haija, Kaidi Cao*, Bahare Fatemi, Mike Burrows, Charith Mendis*, Bryan Perozzi

Training Chain-of-Thought via Latent-Variable Inference Du Phan, Matthew D. Hoffman, David Dohan*, Sholto Douglas, Tuan Anh Le, Aaron Parisi, Pavel Sountsov, Charles Sutton, Sharad Vikram, Rif A. Saurous

Unified Lower Bounds for Interactive High-dimensional Estimation under Information Constraints Jayadev Acharya, Clement L. Canonne, Ziteng Sun, Himanshu Tyagi

What You See is What You Read? Improving Text-Image Alignment Evaluation Michal Yarom, Yonatan Bitton, Soravit Changpinyo, Roee Aharoni, Jonathan Herzig, Oran Lang, Eran Ofek, Idan Szpektor

When Does Confidence-Based Cascade Deferral Suffice? Wittawat Jitkrittum, Neha Gupta, Aditya Krishna Menon, Harikrishna Narasimhan, Ankit Singh Rawat, Sanjiv Kumar

Accelerating Molecular Graph Neural Networks via Knowledge Distillation Filip Ekström Kelvinius, Dimitar Georgiev, Artur Petrov Toshev, Johannes Gasteiger

AVIS: Autonomous Visual Information Seeking with Large Language Model Agent Ziniu Hu*, Ahmet Iscen, Chen Sun, Kai-Wei Chang, Yizhou Sun, David Ross, Cordelia Schmid, Alireza Fathi

Beyond Invariance: Test-Time Label-Shift Adaptation for Addressing “Spurious” Correlations Qingyao Sun, Kevin Patrick Murphy, Sayna Ebrahimi, Alexander D’Amour

Collaborative Score Distillation for Consistent Visual Editing Subin Kim, Kyungmin Lee, June Suk Choi, Jongheon Jeong, Kihyuk Sohn, Jinwoo Shin

CommonScenes: Generating Commonsense 3D Indoor Scenes with Scene Graphs Guangyao Zhai, Evin Pınar Örnek, Shun-Cheng Wu, Yan Di, Federico Tombari, Nassir Navab, Benjamin Busam

Computational Complexity of Learning Neural Networks: Smoothness and Degeneracy Amit Daniely, Nathan Srebro, Gal Vardi

A Computationally Efficient Sparsified Online Newton Method Fnu Devvrit*, Sai Surya Duvvuri, Rohan Anil, Vineet Gupta, Cho-Jui Hsieh, Inderjit S Dhillon

DDF-HO: Hand-Held Object Reconstruction via Conditional Directed Distance Field Chenyangguang Zhang, Yan Di, Ruida Zhang, Guangyao Zhai, Fabian Manhardt, Federico Tombari, Xiangyang Ji

Double Auctions with Two-sided Bandit Feedback Soumya Basu, Abishek Sankararaman

Grammar Prompting for Domain-Specific Language Generation with Large Language Models Bailin Wang, Zi Wang, Xuezhi Wang, Yuan Cao, Rif A. Saurous, Yoon Kim

Inconsistency, Instability, and Generalization Gap of Deep Neural Network Training Rie Johnson, Tong Zhang*

Large Graph Property Prediction via Graph Segment Training Kaidi Cao*, Phitchaya Mangpo Phothilimthana, Sami Abu-El-Haija, Dustin Zelle, Yanqi Zhou, Charith Mendis*, Jure Leskovec, Bryan Perozzi

On Computing Pairwise Statistics with Local Differential Privacy Badih Ghazi, Pritish Kamath, Ravi Kumar, Pasin Manurangsi, Adam Sealfon

On Student-teacher Deviations in Distillation: Does it Pay to Disobey? Vaishnavh Nagarajan, Aditya Krishna Menon, Srinadh Bhojanapalli, Hossein Mobahi, Sanjiv Kumar

Optimal Cross-learning for Contextual Bandits with Unknown Context Distributions Jon Schneider, Julian Zimmert

Near-Optimal k-Clustering in the Sliding Window Model David Woodruff, Peilin Zhong, Samson Zhou

Post Hoc Explanations of Language Models Can Improve Language Models Satyapriya Krishna, Jiaqi Ma, Dylan Z Slack, Asma Ghandeharioun, Sameer Singh, Himabindu Lakkaraju

Recommender Systems with Generative Retrieval Shashank Rajput*, Nikhil Mehta, Anima Singh, Raghunandan Hulikal Keshavan, Trung Vu, Lukasz Heldt, Lichan Hong, Yi Tay, Vinh Q. Tran, Jonah Samost, Maciej Kula, Ed H. Chi, Maheswaran Sathiamoorthy

Reinforcement Learning for Fine-tuning Text-to-Image Diffusion Models Ying Fan, Olivia Watkins, Yuqing Du, Hao Liu, Moonkyung Ryu, Craig Boutilier, Pieter Abbeel, Mohammad Ghavamzadeh*, Kangwook Lee, Kimin Lee*

Replicable Clustering Hossein Esfandiari, Amin Karbasi, Vahab Mirrokni, Grigoris Velegkas, Felix Zhou

Replicability in Reinforcement Learning Amin Karbasi, Grigoris Velegkas, Lin Yang, Felix Zhou

Riemannian Projection-free Online Learning Zihao Hu, Guanghui Wang, Jacob Abernethy

Sharpness-Aware Minimization Leads to Low-Rank Features Maksym Andriushchenko, Dara Bahri, Hossein Mobahi, Nicolas Flammarion

What is the Inductive Bias of Flatness Regularization? A Study of Deep Matrix Factorization Models Khashayar Gatmiry, Zhiyuan Li, Ching-Yao Chuang, Sashank Reddi, Tengyu Ma, Stefanie Jegelka

Block Low-Rank Preconditioner with Shared Basis for Stochastic Optimization Jui-Nan Yen, Sai Surya Duvvuri, Inderjit S Dhillon, Cho-Jui Hsieh

Blocked Collaborative Bandits: Online Collaborative Filtering with Per-Item Budget Constraints Soumyabrata Pal, Arun Sai Suggala, Karthikeyan Shanmugam, Prateek Jain

Boundary Guided Learning-Free Semantic Control with Diffusion Models Ye Zhu, Yu Wu, Zhiwei Deng, Olga Russakovsky, Yan Yan

Conditional Adapters: Parameter-efficient Transfer Learning with Fast Inference Tao Lei, Junwen Bai, Siddhartha Brahma, Joshua Ainslie, Kenton Lee, Yanqi Zhou, Nan Du*, Vincent Y. Zhao, Yuexin Wu, Bo Li, Yu Zhang, Ming-Wei Chang

Conformal Prediction for Time Series with Modern Hopfield Networks Andreas Auer, Martin Gauch, Daniel Klotz, Sepp Hochreiter

Does Visual Pretraining Help End-to-End Reasoning? Chen Sun, Calvin Luo, Xingyi Zhou, Anurag Arnab, Cordelia Schmid

Effective Robustness Against Natural Distribution Shifts for Models with Different Training Data Zhouxing Shi*, Nicholas Carlini, Ananth Balashankar, Ludwig Schmidt, Cho-Jui Hsieh, Alex Beutel*, Yao Qin

Improving Neural Network Representations Using Human Similarity Judgments Lukas Muttenthaler*, Lorenz Linhardt, Jonas Dippel, Robert A. Vandermeulen, Katherine Hermann, Andrew K. Lampinen, Simon Kornblith

Label Robust and Differentially Private Linear Regression: Computational and Statistical Efficiency Xiyang Liu, Prateek Jain, Weihao Kong, Sewoong Oh, Arun Sai Suggala

Mnemosyne: Learning to Train Transformers with Transformers Deepali Jain, Krzysztof Choromanski, Avinava Dubey, Sumeet Singh, Vikas Sindhwani, Tingnan Zhang, Jie Tan

Nash Regret Guarantees for Linear Bandits Ayush Sawarni, Soumyabrata Pal, Siddharth Barman

A Near-Linear Time Algorithm for the Chamfer Distance Ainesh Bakshi, Piotr Indyk, Rajesh Jayaram, Sandeep Silwal, Erik Waingarten.

On Differentially Private Sampling from Gaussian and Product Distributions Badih Ghazi, Xiao Hu*, Ravi Kumar, Pasin Manurangsi

On Dynamic Programming Decompositions of Static Risk Measures in Markov Decision Processes Jia Lin Hau, Erick Delage, Mohammad Ghavamzadeh*, Marek Petrik

ResMem: Learn What You Can and Memorize the Rest Zitong Yang, Michal Lukasik, Vaishnavh Nagarajan, Zonglin Li, Ankit Singh Rawat, Manzil Zaheer, Aditya Krishna Menon, Sanjiv Kumar

Responsible AI (RAI) Games and Ensembles Yash Gupta, Runtian Zhai, Arun Suggala, Pradeep Ravikumar

RoboCLIP: One Demonstration Is Enough to Learn Robot Policies Sumedh A Sontakke, Jesse Zhang, Sébastien M. R. Arnold, Karl Pertsch, Erdem Biyik, Dorsa Sadigh, Chelsea Finn, Laurent Itti

Robust Concept Erasure via Kernelized Rate-Distortion Maximization Somnath Basu Roy Chowdhury, Nicholas Monath, Kumar Avinava Dubey, Amr Ahmed, Snigdha Chaturvedi

Robust Multi-Agent Reinforcement Learning via Adversarial Regularization: Theoretical Foundation and Stable Algorithms Alexander Bukharin, Yan Li, Yue Yu, Qingru Zhang, Zhehui Chen, Simiao Zuo, Chao Zhang, Songan Zhang, Tuo Zhao

Simplicity Bias in 1-Hidden Layer Neural Networks Depen Morwani*, Jatin Batra, Prateek Jain, Praneeth Netrapalli

SLaM: Student-Label Mixing for Distillation with Unlabeled Examples Vasilis Kontonis, Fotis Iliopoulos, Khoa Trinh, Cenk Baykal, Gaurav Menghani, Erik Vee

SNAP: Self-Supervised Neural Maps for Visual Positioning and Semantic Understanding Paul-Edouard Sarlin*, Eduard Trulls, Marc Pollefeys, Jan Hosang, Simon Lynen

SOAR: Improved Indexing for Approximate Nearest Neighbor Search Philip Sun, David Simcha, Dave Dopson, Ruiqi Guo, Sanjiv Kumar

StyleDrop: Text-to-Image Synthesis of Any Style Kihyuk Sohn, Lu Jiang, Jarred Barber, Kimin Lee*, Nataniel Ruiz, Dilip Krishnan, Huiwen Chang*, Yuanzhen Li, Irfan Essa, Michael Rubinstein, Yuan Hao, Glenn Entis, Irina Blok, Daniel Castro Chin

Three Towers: Flexible Contrastive Learning with Pretrained Image Models Jannik Kossen*, Mark Collier, Basil Mustafa, Xiao Wang, Xiaohua Zhai, Lucas Beyer, Andreas Steiner, Jesse Berent, Rodolphe Jenatton, Efi Kokiopoulou

Two-Stage Learning to Defer with Multiple Experts Anqi Mao, Christopher Mohri, Mehryar Mohri, Yutao Zhong

AdANNS: A Framework for Adaptive Semantic Search Aniket Rege, Aditya Kusupati, Sharan Ranjit S, Alan Fan, Qingqing Cao, Sham Kakade, Prateek Jain, Ali Farhadi

Cappy: Outperforming and Boosting Large Multi-Task LMs with a Small Scorer Bowen Tan*, Yun Zhu, Lijuan Liu, Eric Xing, Zhiting Hu, Jindong Chen

Causal-structure Driven Augmentations for Text OOD Generalization Amir Feder, Yoav Wald, Claudia Shi, Suchi Saria, David Blei

Dense-Exponential Random Features: Sharp Positive Estimators of the Gaussian Kernel Valerii Likhosherstov, Krzysztof Choromanski, Avinava Dubey, Frederick Liu, Tamas Sarlos, Adrian Weller

Diffusion Hyperfeatures: Searching Through Time and Space for Semantic Correspondence Grace Luo, Lisa Dunlap, Dong Huk Park, Aleksander Holynski, Trevor Darrell

Diffusion Self-Guidance for Controllable Image Generation Dave Epstein, Allan Jabri, Ben Poole, Alexei A Efros, Aleksander Holynski

Fully Dynamic k-Clustering in Õ(k) Update Time Sayan Bhattacharya, Martin Nicolas Costa, Silvio Lattanzi, Nikos Parotsidis

Improving CLIP Training with Language Rewrites Lijie Fan, Dilip Krishnan, Phillip Isola, Dina Katabi, Yonglong Tian

<!–k-Means Clustering with Distance-Based Privacy Alessandro Epasto, Vahab Mirrokni, Shyam Narayanan, Peilin Zhong

–>

LayoutGPT: Compositional Visual Planning and Generation with Large Language Models Weixi Feng, Wanrong Zhu, Tsu-Jui Fu, Varun Jampani, Arjun Reddy Akula, Xuehai He, Sugato Basu, Xin Eric Wang, William Yang Wang

Offline Reinforcement Learning for Mixture-of-Expert Dialogue Management Dhawal Gupta*, Yinlam Chow, Azamat Tulepbergenov, Mohammad Ghavamzadeh*, Craig Boutilier

Optimal Unbiased Randomizers for Regression with Label Differential Privacy Ashwinkumar Badanidiyuru, Badih Ghazi, Pritish Kamath, Ravi Kumar, Ethan Jacob Leeman, Pasin Manurangsi, Avinash V Varadarajan, Chiyuan Zhang

Paraphrasing Evades Detectors of AI-generated Text, but Retrieval Is an Effective Defense Kalpesh Krishna, Yixiao Song, Marzena Karpinska, John Wieting, Mohit Iyyer

ReMaX: Relaxing for Better Training on Efficient Panoptic Segmentation Shuyang Sun*, Weijun Wang, Qihang Yu*, Andrew Howard, Philip Torr, Liang-Chieh Chen*

Robust and Actively Secure Serverless Collaborative Learning Nicholas Franzese, Adam Dziedzic, Christopher A. Choquette-Choo, Mark R. Thomas, Muhammad Ahmad Kaleem, Stephan Rabanser, Congyu Fang, Somesh Jha, Nicolas Papernot, Xiao Wang

SpecTr: Fast Speculative Decoding via Optimal Transport Ziteng Sun, Ananda Theertha Suresh, Jae Hun Ro, Ahmad Beirami, Himanshu Jain, Felix Yu

Structured Prediction with Stronger Consistency Guarantees Anqi Mao, Mehryar Mohri, Yutao Zhong

Affinity-Aware Graph Networks Ameya Velingker, Ali Kemal Sinop, Ira Ktena, Petar Veličković, Sreenivas Gollapudi

ARTIC3D: Learning Robust Articulated 3D Shapes from Noisy Web Image Collections Chun-Han Yao*, Amit Raj, Wei-Chih Hung, Yuanzhen Li, Michael Rubinstein, Ming-Hsuan Yang, Varun Jampani

Black-Box Differential Privacy for Interactive ML Haim Kaplan, Yishay Mansour, Shay Moran, Kobbi Nissim, Uri Stemmer

Bypassing the Simulator: Near-Optimal Adversarial Linear Contextual Bandits Haolin Liu, Chen-Yu Wei, Julian Zimmert

DaTaSeg: Taming a Universal Multi-Dataset Multi-Task Segmentation Model

Xiuye Gu, Yin Cui*, Jonathan Huang, Abdullah Rashwan, Xuan Yang, Xingyi Zhou, Golnaz Ghiasi, Weicheng Kuo, Huizhong Chen, Liang-Chieh Chen*, David Ross

Easy Learning from Label Proportions Robert Busa-Fekete, Heejin Choi*, Travis Dick, Claudio Gentile, Andres Munoz Medina

Efficient Data Subset Selection to Generalize Training Across Models: Transductive and Inductive Networks Eeshaan Jain, Tushar Nandy, Gaurav Aggarwal, Ashish Tendulkar, Rishabh Iyer, Abir De

Faster Differentially Private Convex Optimization via Second-Order Methods Arun Ganesh, Mahdi Haghifam*, Thomas Steinke, Abhradeep Guha Thakurta

Finding Safe Zones of Markov Decision Processes Policies Lee Cohen, Yishay Mansour, Michal Moshkovitz

Focused Transformer: Contrastive Training for Context Scaling Szymon Tworkowski, Konrad Staniszewski, Mikołaj Pacek, Yuhuai Wu*, Henryk Michalewski, Piotr Miłoś

Front-door Adjustment Beyond Markov Equivalence with Limited Graph Knowledge Abhin Shah, Karthikeyan Shanmugam, Murat Kocaoglu

H-Consistency Bounds: Characterization and Extensions Anqi Mao, Mehryar Mohri, Yutao Zhong

Inverse Dynamics Pretraining Learns Good Representations for Multitask Imitation David Brandfonbrener, Ofir Nachum, Joan Bruna

Most Neural Networks Are Almost Learnable Amit Daniely, Nathan Srebro, Gal Vardi

Multiclass Boosting: Simple and Intuitive Weak Learning Criteria Nataly Brukhim, Amit Daniely, Yishay Mansour, Shay Moran

NeRF Revisited: Fixing Quadrature Instability in Volume Rendering Mikaela Angelina Uy, Kiyohiro Nakayama, Guandao Yang, Rahul Krishna Thomas, Leonidas Guibas, Ke Li

Privacy Amplification via Compression: Achieving the Optimal Privacy-Accuracy-Communication Trade-off in Distributed Mean Estimation Wei-Ning Chen, Dan Song, Ayfer Ozgur, Peter Kairouz

Private Federated Frequency Estimation: Adapting to the Hardness of the Instance Jingfeng Wu*, Wennan Zhu, Peter Kairouz, Vladimir Braverman

RETVec: Resilient and Efficient Text Vectorizer Elie Bursztein, Marina Zhang, Owen Skipper Vallis, Xinyu Jia, Alexey Kurakin

Symbolic Discovery of Optimization Algorithms Xiangning Chen*, Chen Liang, Da Huang, Esteban Real, Kaiyuan Wang, Hieu Pham, Xuanyi Dong, Thang Luong, Cho-Jui Hsieh, Yifeng Lu, Quoc V. Le

A Tale of Two Features: Stable Diffusion Complements DINO for Zero-Shot Semantic Correspondence Junyi Zhang, Charles Herrmann, Junhwa Hur, Luisa F. Polania, Varun Jampani, Deqing Sun, Ming-Hsuan Yang

A Trichotomy for Transductive Online Learning Steve Hanneke, Shay Moran, Jonathan Shafer

A Unified Fast Gradient Clipping Framework for DP-SGD William Kong, Andres Munoz Medina

Unleashing the Power of Randomization in Auditing Differentially Private ML Krishna Pillutla, Galen Andrew, Peter Kairouz, H. Brendan McMahan, Alina Oprea, Sewoong Oh

(Amplified) Banded Matrix Factorization: A unified approach to private training Christopher A Choquette-Choo, Arun Ganesh, Ryan McKenna, H Brendan McMahan, Keith Rush, Abhradeep Guha Thakurta, Zheng Xu

Adversarial Resilience in Sequential Prediction via Abstention Surbhi Goel, Steve Hanneke, Shay Moran, Abhishek Shetty

Alternating Gradient Descent and Mixture-of-Experts for Integrated Multimodal Perception Hassan Akbari, Dan Kondratyuk, Yin Cui, Rachel Hornung, Huisheng Wang, Hartwig Adam

Android in the Wild: A Large-Scale Dataset for Android Device Control Christopher Rawles, Alice Li, Daniel Rodriguez, Oriana Riva, Timothy Lillicrap

Benchmarking Robustness to Adversarial Image Obfuscations Florian Stimberg, Ayan Chakrabarti, Chun-Ta Lu, Hussein Hazimeh, Otilia Stretcu, Wei Qiao, Yintao Liu, Merve Kaya, Cyrus Rashtchian, Ariel Fuxman, Mehmet Tek, Sven Gowal

Building Socio-culturally Inclusive Stereotype Resources with Community Engagement Sunipa Dev, Jaya Goyal, Dinesh Tewari, Shachi Dave, Vinodkumar Prabhakaran

Consensus and Subjectivity of Skin Tone Annotation for ML Fairness Candice Schumann, Gbolahan O Olanubi, Auriel Wright, Ellis Monk Jr*, Courtney Heldreth, Susanna Ricco

Counting Distinct Elements Under Person-Level Differential Privacy Alexander Knop, Thomas Steinke

DICES Dataset: Diversity in Conversational AI Evaluation for Safety Lora Aroyo, Alex S. Taylor, Mark Diaz, Christopher M. Homan, Alicia Parrish, Greg Serapio-García, Vinodkumar Prabhakaran, Ding Wang

Does Progress on ImageNet Transfer to Real-world Datasets? Alex Fang, Simon Kornblith, Ludwig Schmidt

Estimating Generic 3D Room Structures from 2D Annotations Denys Rozumnyi*, Stefan Popov, Kevis-kokitsi Maninis, Matthias Nießner, Vittorio Ferrari

Large Language Model as Attributed Training Data Generator: A Tale of Diversity and Bias Yue Yu, Yuchen Zhuang, Jieyu Zhang, Yu Meng, Alexander Ratner, Ranjay Krishna, Jiaming Shen, Chao Zhang

MADLAD-400: A Multilingual And Document-Level Large Audited Dataset Sneha Kudugunta, Isaac Caswell, Biao Zhang, Xavier Garcia, Derrick Xin, Aditya Kusupati, Romi Stella, Ankur Bapna, Orhan Firat

Mechanic: A Learning Rate Tuner Ashok Cutkosky, Aaron Defazio, Harsh Mehta

NAVI: Category-Agnostic Image Collections with High-Quality 3D Shape and Pose Annotations Varun Jampani, Kevis-kokitsi Maninis, Andreas Engelhardt, Arjun Karpur, Karen Truong, Kyle Sargent, Stefan Popov, Andre Araujo, Ricardo Martin Brualla, Kaushal Patel, Daniel Vlasic, Vittorio Ferrari, Ameesh Makadia, Ce Liu*, Yuanzhen Li, Howard Zhou

Neural Ideal Large Eddy Simulation: Modeling Turbulence with Neural Stochastic Differential Equations Anudhyan Boral, Zhong Yi Wan, Leonardo Zepeda-Nunez, James Lottes, Qing Wang, Yi-Fan Chen, John Roberts Anderson, Fei Sha

Restart Sampling for Improving Generative Processes Yilun Xu, Mingyang Deng, Xiang Cheng, Yonglong Tian, Ziming Liu, Tommi Jaakkola

Rethinking Incentives in Recommender Systems: Are Monotone Rewards Always Beneficial? Fan Yao, Chuanhao Li, Karthik Abinav Sankararaman, Yiming Liao, Yan Zhu, Qifan Wang, Hongning Wang, Haifeng Xu

Revisiting Evaluation Metrics for Semantic Segmentation: Optimization and Evaluation of Fine-grained Intersection over Union Zifu Wang, Maxim Berman, Amal Rannen-Triki, Philip Torr, Devis Tuia, Tinne Tuytelaars, Luc Van Gool, Jiaqian Yu, Matthew B. Blaschko

RoboHive: A Unified Framework for Robot Learning Vikash Kumar, Rutav Shah, Gaoyue Zhou, Vincent Moens, Vittorio Caggiano, Abhishek Gupta, Aravind Rajeswaran

SatBird: Bird Species Distribution Modeling with Remote Sensing and Citizen Science Data Mélisande Teng, Amna Elmustafa, Benjamin Akera, Yoshua Bengio, Hager Radi, Hugo Larochelle, David Rolnick

Sparsity-Preserving Differentially Private Training of Large Embedding Models Badih Ghazi, Yangsibo Huang*, Pritish Kamath, Ravi Kumar, Pasin Manurangsi, Amer Sinha, Chiyuan Zhang

StableRep: Synthetic Images from Text-to-Image Models Make Strong Visual Representation Learners Yonglong Tian, Lijie Fan, Phillip Isola, Huiwen Chang, Dilip Krishnan

Towards Federated Foundation Models: Scalable Dataset Pipelines for Group-Structured Learning Zachary Charles, Nicole Mitchell, Krishna Pillutla, Michael Reneer, Zachary Garrett

Universality and Limitations of Prompt Tuning Yihan Wang, Jatin Chauhan, Wei Wang, Cho-Jui Hsieh

Unsupervised Semantic Correspondence Using Stable Diffusion Eric Hedlin, Gopal Sharma, Shweta Mahajan, Hossam Isack, Abhishek Kar, Andrea Tagliasacchi, Kwang Moo Yi

YouTube-ASL: A Large-Scale, Open-Domain American Sign Language-English Parallel Corpus Dave Uthus, Garrett Tanzer, Manfred Georg

The Noise Level in Linear Regression with Dependent Data Ingvar Ziemann, Stephen Tu, George J. Pappas, Nikolai Matni

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