#neurips — Public Fediverse posts

Муравьи против трансформеров: старый алгоритм 1992 года, который вернулся

Начну с признания: истории формата «природа оптимизирует лучше людей» меня обычно раздражают, слишком уж часто это все притянуто за уши. Но с муравьями история действительно странная, и мне ее захотелось проверить. Короткая справка по нашему герою. Аргентинский муравей Linepithema humile в миллиметр длиной, с глазами у него все плохо, а в мозге около 250 000 нейронов (у нас, напомню, 86 млрд). Карты местности он не помнит. В 1989 году четверо бельгийских биологов поставили этим муравьям простой эксперимент — гнездо, еда, два мостика, где один длиннее другого в два раза. Через несколько минут вся колония сошлась на короткой ветке в 100% прогонов. И все это без координатора, без плана и без голосования. Через три года этот эксперимент превратится в Ant Colony Optimization — алгоритм, который я сегодня натравлю на классический TSP-бенч и получу 0,10% отставания от оптимума. А в 2023, через 34 года после наблюдений в Брюсселе, тот же алгоритм вернулся на NeurIPS в качестве бэкбона для графовых нейросетей. Что же, приступим.

https://habr.com/ru/companies/selectel/articles/1031574/

#ACO #задача_коммивояжера #DeepACO #комбинаторная_оптимизация #NeurIPS #графовые_нейросети #стигмергия #selectel #ai #ml

MetaSPO meta-learns a task-agnostic system prompt via a bilevel loop: outer tunes system prompt across tasks, inner tunes per-task user prompts. Generalizes to 14 unseen tasks across 5 domains.

The decomposition is the contribution. Once prompts split into task-agnostic (system) vs task-specific (user), meta-learning follows. System-prompt optimization transfers; user-prompt doesn't.

https://benjaminhan.net/posts/20260430-metaspo-system-prompt-meta-learning/?utm_source=mastodon&utm_medium=social

#LLMs #AI #PromptEngineering #KAIST #NeurIPS

MetaSPO meta-learns a task-agnostic system prompt via a bilevel loop: outer tunes system prompt across tasks, inner tunes per-task user prompts. Generalizes to 14 unseen tasks across 5 domains.

The decomposition is the contribution. Once prompts split into task-agnostic (system) vs task-specific (user), meta-learning follows. System-prompt optimization transfers; user-prompt doesn't.

https://benjaminhan.net/posts/20260430-metaspo-system-prompt-meta-learning/?utm_source=mastodon&utm_medium=social

#LLMs #AI #PromptEngineering #KAIST #NeurIPS

MetaSPO meta-learns a task-agnostic system prompt via a bilevel loop: outer tunes system prompt across tasks, inner tunes per-task user prompts. Generalizes to 14 unseen tasks across 5 domains.

The decomposition is the contribution. Once prompts split into task-agnostic (system) vs task-specific (user), meta-learning follows. System-prompt optimization transfers; user-prompt doesn't.

https://benjaminhan.net/posts/20260430-metaspo-system-prompt-meta-learning/?utm_source=mastodon&utm_medium=social

#LLMs #AI #PromptEngineering #KAIST #NeurIPS

MetaSPO meta-learns a task-agnostic system prompt via a bilevel loop: outer tunes system prompt across tasks, inner tunes per-task user prompts. Generalizes to 14 unseen tasks across 5 domains.

The decomposition is the contribution. Once prompts split into task-agnostic (system) vs task-specific (user), meta-learning follows. System-prompt optimization transfers; user-prompt doesn't.

https://benjaminhan.net/posts/20260430-metaspo-system-prompt-meta-learning/?utm_source=mastodon&utm_medium=social

#LLMs #AI #PromptEngineering #KAIST #NeurIPS

MetaSPO meta-learns a task-agnostic system prompt via a bilevel loop: outer tunes system prompt across tasks, inner tunes per-task user prompts. Generalizes to 14 unseen tasks across 5 domains.

The decomposition is the contribution. Once prompts split into task-agnostic (system) vs task-specific (user), meta-learning follows. System-prompt optimization transfers; user-prompt doesn't.

https://benjaminhan.net/posts/20260430-metaspo-system-prompt-meta-learning/?utm_source=mastodon&utm_medium=social

#LLMs #AI #PromptEngineering #KAIST #NeurIPS

Nature: Boycott of major AI conference exposes a growing US–China divide . “A key Chinese research organization is set to boycott the prestigious NeurIPS conference, which is run by a US-based non-profit organization, after a row over a policy that initially seemed to exclude many Chinese researchers.”

#TIL about #GPTZero that has built a hallucination check tool which found 100 hallucinated references in #NeurIPS 2025 accepted papers https://gptzero.me/news/neurips/

... and NeurIPS organizers just brushed it off! (sorry for the substack link) https://stevensalzberg.substack.com/p/an-embarrassing-scandal-for-ai-research

#AI #AIslop

Công trình đạt giải Best Paper tại NeurIPS bởi Kevin Wang (Princeton) giới thiệu mạng thần kinh 1000 lớp ứng dụng trong học tăng cường tự giám sát. Kỹ thuật mới cải thiện khả năng học biểu diễn sâu mà không cần dữ liệu nhãn, mở đường cho hệ thống AI hiệu quả và tự chủ hơn. #NeurIPS #AI #MachineLearning #HọcTăngCường #TríTuệNhânTạo #SelfSupervisedLearning #DeepLearning

https://www.reddit.com/r/singularity/comments/1q593by/neurips_best_paper_1000_layer_networks_for/

NBC News: At AI’s biggest gathering, its inner workings remain a mystery. “For the past week, academics, startup founders and researchers representing industrial titans from around the globe descended on sunny San Diego for the top gathering in the field of artificial intelligence. The Neural Information Processing Systems, or NeurIPS, conference has been held for 39 years, but it drew a […]

https://rbfirehose.com/2025/12/09/nbc-news-at-ais-biggest-gathering-its-inner-workings-remain-a-mystery/

It's stunning in sunny San Diego! 🌴
I'm so honored to be representing my co-authors and presenting our work for the #NeurIPS2025 Education track and then on Thursday, I'll be helping run the inaugural #NeurIPS #PositionPaper track!

Come find me:
- TUESDAY presenting #Benchmarks 101 for the Education Track: https://neurips.cc/virtual/2025/loc/san-diego/131571
- THURSDAY morning cheering on the Position Papers solo talks: https://neurips.cc/virtual/2025/loc/san-diego/session/122560
- THURSDAY afternoon moderating a Position Papers panel: https://neurips.cc/virtual/2025/loc/san-diego/session/122565

It's stunning in sunny San Diego! 🌴
I'm so honored to be representing my co-authors and presenting our work for the #NeurIPS2025 Education track and then on Thursday, I'll be helping run the inaugural #NeurIPS #PositionPaper track!

Come find me:
- TUESDAY presenting #Benchmarks 101 for the Education Track: https://neurips.cc/virtual/2025/loc/san-diego/131571
- THURSDAY morning cheering on the Position Papers solo talks: https://neurips.cc/virtual/2025/loc/san-diego/session/122560
- THURSDAY afternoon moderating a Position Papers panel: https://neurips.cc/virtual/2025/loc/san-diego/session/122565

It's stunning in sunny San Diego! 🌴
I'm so honored to be representing my co-authors and presenting our work for the #NeurIPS2025 Education track and then on Thursday, I'll be helping run the inaugural #NeurIPS #PositionPaper track!

Come find me:
- TUESDAY presenting #Benchmarks 101 for the Education Track: https://neurips.cc/virtual/2025/loc/san-diego/131571
- THURSDAY morning cheering on the Position Papers solo talks: https://neurips.cc/virtual/2025/loc/san-diego/session/122560
- THURSDAY afternoon moderating a Position Papers panel: https://neurips.cc/virtual/2025/loc/san-diego/session/122565

It's stunning in sunny San Diego! 🌴
I'm so honored to be representing my co-authors and presenting our work for the #NeurIPS2025 Education track and then on Thursday, I'll be helping run the inaugural #NeurIPS #PositionPaper track!

Come find me:
- TUESDAY presenting #Benchmarks 101 for the Education Track: https://neurips.cc/virtual/2025/loc/san-diego/131571
- THURSDAY morning cheering on the Position Papers solo talks: https://neurips.cc/virtual/2025/loc/san-diego/session/122560
- THURSDAY afternoon moderating a Position Papers panel: https://neurips.cc/virtual/2025/loc/san-diego/session/122565

It's stunning in sunny San Diego! 🌴
I'm so honored to be representing my co-authors and presenting our work for the #NeurIPS2025 Education track and then on Thursday, I'll be helping run the inaugural #NeurIPS #PositionPaper track!

Come find me:
- TUESDAY presenting #Benchmarks 101 for the Education Track: https://neurips.cc/virtual/2025/loc/san-diego/131571
- THURSDAY morning cheering on the Position Papers solo talks: https://neurips.cc/virtual/2025/loc/san-diego/session/122560
- THURSDAY afternoon moderating a Position Papers panel: https://neurips.cc/virtual/2025/loc/san-diego/session/122565

Apfeltalk: Der Tag am 22. November 2025
Heute stehen mehrere bedeutende Entwicklungen im Apple-Ökosystem im Fokus, insbesondere im Bereich Künstliche Intelligenz und neue Produktankündigungen. Zudem gibt es Neuigkeiten zu Apples Prozessorarchitektur und den bevorstehenden Black Friday-Angeboten.

Apple
https://www.apfeltalk.de/magazin/news/apfeltalk-der-tag-am-22-november-2025/
#News #Apple #AppleTV #BlackFriday #IOS262 #iPhone #KI #M4Max #MacBook #neurips #Produkte2026 #Studien

https://winbuzzer.com/2025/11/08/google-research-unveils-nested-learning-a-new-ai-paradigm-to-overcome-catastrophic-forgetting-xcxwbn

AI Memory: Google Research Unveils Nested Learning, a New AI Paradigm to Overcome 'Catastrophic Forgetting'

#AI #MachineLearning #GoogleAI #DeepLearning #DeepMind #NeuralNetworks #ContinualLearning #Google #AIResearch #NeurIPS

https://winbuzzer.com/2025/11/08/google-research-unveils-nested-learning-a-new-ai-paradigm-to-overcome-catastrophic-forgetting-xcxwbn

AI Memory: Google Research Unveils Nested Learning, a New AI Paradigm to Overcome 'Catastrophic Forgetting'

#AI #MachineLearning #GoogleAI #DeepLearning #DeepMind #NeuralNetworks #ContinualLearning #Google #AIResearch #NeurIPS

https://winbuzzer.com/2025/11/08/google-research-unveils-nested-learning-a-new-ai-paradigm-to-overcome-catastrophic-forgetting-xcxwbn

AI Memory: Google Research Unveils Nested Learning, a New AI Paradigm to Overcome 'Catastrophic Forgetting'

#AI #MachineLearning #GoogleAI #DeepLearning #DeepMind #NeuralNetworks #ContinualLearning #Google #AIResearch #NeurIPS

https://winbuzzer.com/2025/11/08/google-research-unveils-nested-learning-a-new-ai-paradigm-to-overcome-catastrophic-forgetting-xcxwbn

AI Memory: Google Research Unveils Nested Learning, a New AI Paradigm to Overcome 'Catastrophic Forgetting'

#AI #MachineLearning #GoogleAI #DeepLearning #DeepMind #NeuralNetworks #ContinualLearning #Google #AIResearch #NeurIPS

https://winbuzzer.com/2025/11/08/google-research-unveils-nested-learning-a-new-ai-paradigm-to-overcome-catastrophic-forgetting-xcxwbn

AI Memory: Google Research Unveils Nested Learning, a New AI Paradigm to Overcome 'Catastrophic Forgetting'

#AI #MachineLearning #GoogleAI #DeepLearning #DeepMind #NeuralNetworks #ContinualLearning #Google #AIResearch #NeurIPS

Feeling rewarded... Honored to be among the Top Reviewers at #NeurIPS this year.

#AI #ML #UAntwerp #sqIRL #IDLab #imec

Anybody here going to be at #NeurIPS #NeurIPS2024? Me and @amelia are going and we will mostly be at #WiML and affinity workshops, and the datasets track

A bittersweet retrospective by Tomas Mikolov on #word2vec after receiving the “Test Of Time” award for it at #NeurIPS:

https://www.facebook.com/1533402400/posts/yesterday-we-received-a-test-of-time-award-at-neurips-for-the-word2vec-paper-fro/10231641326366223/

Their seminal #paper was rejected four times 😥:

https://openreview.net/forum?id=idpCdOWtqXd60

Via HN: https://openreview.net/forum?id=idpCdOWtqXd60

#ML #MachineLearning

@abulling I am also frustrated with this. But here are some approaches that I really like and that can make a difference:
- Instead of 1-page-rebuttals that leave no actual room for clarification, discussion periods on openreview like #neurips or #corl have. It makes it easier for an editor to spot which reviewers actually read the paper.
- Good-reviewer-awards that encourage and recognize those who put in a lot of work.

I’ll be at #NeurIPS the coming days. Ping me if you wanna hang out, grab a drink, or talk #probabilistic #machinelearing.

I am going to share some live summaries from #EMNLP #NEURIPS #CONLL conferences

Hope I am not too spammy (will pass soon)

And tell me if I can make it more useful for people not participating in any way
#machinelearning #LLM #LLMs #NLP #NLProc #ML #CV #data

Explaining model *predictions* is all well and good – but what about model *uncertainty*?

Pleased to announce that our paper on information theoretic Shapley values will be presented at #NeurIPS2023.

Joint work with David Watson, Josh O’Hara, Richard Mudd, and Ido Guy.

https://arxiv.org/abs/2306.05724

#NeurIPS #xai #UncertaintyQuantification #machinelearning

I was of three minds,
Like a paper
On which there are three reviews.

#NeurIPS #EMNLP #AAAI

Why perform cross validation (CV) in #MachineLearning? To estimate the generalization error of a trained predictor. This paper uses the idea of a #ProperLoss (called Q-class). Then it covers CV, bootstrap, and Mallow's covariance penalties. It also covers #ConformalPrediction, which is newly popular because of Emanuel Candes' keynote at #NeurIPS 2022
https://doi.org/10.3390/stats4040063
The paper is also a good advertisement for Efron and Hastie's recent book.

I was at the #wiml workshop round tables at #neurips leading a discussion on leadership. So many great discussions on leadership and development at different parts of research career journeys.

Presenting a poster in NewInML this afternoon at Sorbonne Center for Artificial Intelligence in Paris.

I am trying out the style of online poster advocated by @mikemorrison

Feedback appreciated :blobthanks:

📄 https://solalnathan.com/Baylearn_2022.pdf

#MastodonPoster #Poster #BetterPoster #NewInML #NeurIPS2022 #NeurIPS

If you go to New Orleans for #neurips, don't miss your chance to learn about New Orleans unique history and culture, with french, African and native American roots! It's also the place where all modern guitar music originated.

I can recommend the #Treme walking tour (and the HBO series, of course).

https://www.frenchquarterphantoms.com/tour-treme

Steffen Schotthöfer & Emanuele Zangrando from our lab are attending #NeurIPS next week in person and will present our work on #lowrank #training & #pruning of #NNs

Meet both at the poster session in HallJ#604 on Wed 30 Nov 9:30amPST

What is it? We developed a framework to perform stable and efficient training on low-rank manifolds, resulting in an order of magnitude less memory cost & training time! Tested successfully on #imagenet1k #transformers +other benchmarks

https://openreview.net/forum?id=IILJ0KWZMy9&referrer=%5Bthe%20profile%20of%20Francesco%20Tudisco%5D(%2Fprofile%3Fid%3D~Francesco_Tudisco1)

Looking to follow (and be followed!) #mlbio #bioml #biotech #bayes #bayesian #generativemodels #startup #startups #medicine #biology #representationlearning #techbio #immunology #neurips #icml #iclr #cambridge #nyc