โ๏ธ Tong Chen presented "Generative Adapter: Contextualizing Language Models in Parameters with a Single Forward Pass"
openreview.net/forum?id=fk5...
Tong Chen, Hao Fang, Patrick Xia, Xiaodong Liu, Benjamin Van Durme, @lukezettlemoyer.bsky.social, Jianfeng Gao, Hao Cheng
#NeurIPS2024
19.12.2024 04:59 โ ๐ 1 ๐ 0 ๐ฌ 0 ๐ 0
๐ฐ Amelia Hui Dai presented "Are LLMs Prescient? A Continuous Evaluation using Daily News as the Oracle"
openreview.net/forum?id=cgi...
Hui Dai, Ryan Teehan, Mengye Ren
#NeurIPS2024 #AdaptiveFoundationModels
19.12.2024 04:59 โ ๐ 0 ๐ 0 ๐ฌ 1 ๐ 0
๐ Wen-Tse Chen presented "Fine-tuning LLM Agents with Retrospective In-Context Online Learning"
openreview.net/forum?id=dSZ...
Wen-Tse Chen, Jiayu Chen, Fahim Tajwar, Hao Zhu, Xintong Duan, @rsalakhu.bsky.social, Jeff Schneider
#NeurIPS2024 #AdaptiveFoundationModels
19.12.2024 04:59 โ ๐ 0 ๐ 0 ๐ฌ 1 ๐ 0
๐ Zhepei Wei presented "Fast and Accurate Language Model Decoding via Parallel Token Processing"
openreview.net/forum?id=coZ...
@zhepei.bsky.social @wlchen.bsky.social, Xinyu Zhu, Yu Meng
#NeurIPS2024 #AdaptiveFoundationModels
19.12.2024 04:59 โ ๐ 3 ๐ 2 ๐ฌ 1 ๐ 0
โถ๏ธ Yue Wu presented "Self-Play Preference Optimization for Language Model Alignment"
openreview.net/forum?id=Z1P...
Yue Wu, Zhiqing Sun, @angelahzyuan.bsky.social, Kaixuan Ji, Yiming Yang, @quanquangu.bsky.social
#NeurIPS2024 #AdaptiveFoundationModels
19.12.2024 04:59 โ ๐ 1 ๐ 0 ๐ฌ 1 ๐ 0
๐พ Jennifer Hsia presented "RAGGED: Towards Informed Design of Retrieval Augmented Generation Systems"
openreview.net/forum?id=SX1...
Jennifer Hsia, Afreen Shaikh, Zhiruo Wang, @gneubig.bsky.social
#NeurIPS2024 #AdaptiveFoundationModels
19.12.2024 04:59 โ ๐ 0 ๐ 0 ๐ฌ 1 ๐ 0
๐ฅฃ Seungone Kim presented "Personalized Soups"
openreview.net/forum?id=EMr...
Joel Jang, Seungone Kim, @billyuchenlin.bsky.social @yizhongw.bsky.social @jmhessel.bsky.social @lukezettlemoyer.bsky.social @hanna-nlp.bsky.social @yejinchoinka.bsky.social @rajammanabrolu.bsky.social
#NeurIPS2024
19.12.2024 04:59 โ ๐ 1 ๐ 0 ๐ฌ 1 ๐ 0
๐ Lukas Hauzenberger presented "One Initialization to Rule them All: Fine-tuning via Explained Variance Adaptation"
openreview.net/forum?id=tjZ...
Fabian Paischer, Lukas Hauzenberger, Thomas Schmied, Benedikt Alkin, Marc Peter Deisenroth, Sepp Hochreiter
#NeurIPS2024 #AdaptiveFoundationModels
19.12.2024 04:59 โ ๐ 0 ๐ 0 ๐ฌ 1 ๐ 0
โ๏ธ Tianqi Chen from CMU (@scsatcmu.bsky.social) gave a very interesting talk on Enabling Large Language Model Deployment Across Cloud and Edge with ML Compilation.
Timestamp 7:48:30 in neurips.cc/virtual/2024...
#NeurIPS2024 #AdaptiveFoundationModels
19.12.2024 04:59 โ ๐ 0 ๐ 0 ๐ฌ 1 ๐ 0
๐ช Bing Liu from the University of Illinois at Chicago gave a great talk on Continual Learning with Large Language Models.
Timestamp 7:08:17 in neurips.cc/virtual/2024...
#NeurIPS2024 #AdaptiveFoundationModels
19.12.2024 04:59 โ ๐ 1 ๐ 0 ๐ฌ 1 ๐ 0
โก Minjoon Seo from KAIST AI gave a great talk On the Knowledge Adaptability of Language Models.
Timestamp 5:42:00 in neurips.cc/virtual/2024...
#NeurIPS2024 #AdaptiveFoundationModels
19.12.2024 04:59 โ ๐ 1 ๐ 0 ๐ฌ 1 ๐ 0
โพ๏ธ Matthias Bethge from University of Tuebingen (@unituebingen.bsky.social) had a talk on Continual Foundation Model Learning, presented by his amazing PhD student, Vishaal Udandarao (@vishaalurao.bsky.social).
Timestamp 5:06:39 in neurips.cc/virtual/2024...
#NeurIPS2024 #AdaptiveFoundationModels
19.12.2024 04:59 โ ๐ 0 ๐ 0 ๐ฌ 1 ๐ 0
๐ Kate Saenko from Meta and Boston University (@bostonu.bsky.social) gave a very interesting talk titled "Is pretraining the key to successful domain generalization?"
Timestamp 1:55:39 in neurips.cc/virtual/2024...
๐ arxiv.org/abs/2412.02856
#NeurIPS2024 #AdaptiveFoundationModels
19.12.2024 04:59 โ ๐ 1 ๐ 0 ๐ฌ 1 ๐ 0
๐ก Sander Dieleman (@sedielem.bsky.social) from Google DeepMind gave a thought-provoking talk on Multimodal Iterative Refinement.
Timestamp 1:10:45 in neurips.cc/virtual/2024...
#NeurIPS2024 #AdaptiveFoundationModels
19.12.2024 04:59 โ ๐ 0 ๐ 0 ๐ฌ 1 ๐ 0
๐ฒ Ruslan Salakhutdinov (@rsalakhu.bsky.social) from CMU (@scsatcmu.bsky.social) opened the workshop with a talk on Tree Search for Language Model Agents.
Timestamp 36:20 in neurips.cc/virtual/2024...
๐ arxiv.org/abs/2407.01476
#NeurIPS2024 #AdaptiveFoundationModels
19.12.2024 04:59 โ ๐ 1 ๐ 1 ๐ฌ 1 ๐ 0
Our workshop in numbers:
๐๏ธ 128 Papers
๐ฌ 8 Orals
๐๏ธ 564 Authors
โ
40 Reviewers
๐ 7 Invited Speakers
๐ 100 T-Shirts
๐ฅ Organizers: Paul Vicol, Mengye Ren, Renjie Liao, Naila Murray, Wei-Chiu Ma, Beidi Chen
#NeurIPS2024 #AdaptiveFoundationModels
19.12.2024 04:59 โ ๐ 1 ๐ 1 ๐ฌ 1 ๐ 0
๐ Had fun at #NeurIPS2024 Workshop on #AdaptiveFoundationModels!
๐ Speakers: @rsalakhu.bsky.social @sedielem.bsky.social Kate Saenko, Matthias Bethge / @vishaalurao.bsky.social Minjoon Seo, Bing Liu, Tianqi Chen
๐Posters: adaptive-foundation-models.org/papers
๐ฌ neurips.cc/virtual/2024...
๐งตRecap!
19.12.2024 04:59 โ ๐ 9 ๐ 2 ๐ฌ 1 ๐ 0
The recording of my #NeurIPS2024 workshop talk on multimodal iterative refinement is now available to everyone who registered: neurips.cc/virtual/2024...
My talk starts at 1:10:45 into the recording.
I believe this will be made publicly available eventually, but I'm not sure when exactly!
18.12.2024 04:38 โ ๐ 36 ๐ 4 ๐ฌ 1 ๐ 0
Afternoon poster session at the Adaptive Foundation Models workshop!
15.12.2024 01:18 โ ๐ 2 ๐ 0 ๐ฌ 0 ๐ 0
Tianqi Chen speaking now at the Adaptive Foundation Models workshop!
14.12.2024 23:41 โ ๐ 1 ๐ 0 ๐ฌ 0 ๐ 0
Another batch of T-shirts for the Adaptive Foundation Models workshop!
14.12.2024 21:55 โ ๐ 1 ๐ 0 ๐ฌ 0 ๐ 0
Poster session at the Adaptive Foundation Models workshop!
14.12.2024 19:53 โ ๐ 4 ๐ 0 ๐ฌ 0 ๐ 0
Kate Saenko speaking now at the Adaptive Foundation Models Workshop!
14.12.2024 17:52 โ ๐ 2 ๐ 0 ๐ฌ 0 ๐ 0
@sedielem.bsky.social speaking now on Multimodal Iterative Refinement at the Adaptive Foundation Models workshop!
14.12.2024 17:08 โ ๐ 6 ๐ 1 ๐ฌ 0 ๐ 1
Limited edition T-shirts, come and get them! At the Adaptive Foundation Models Workshop taking place now in West Exhibit Hall A!
14.12.2024 16:34 โ ๐ 4 ๐ 1 ๐ฌ 0 ๐ 0
NeurIPS 2024 Workshop on Adaptive Foundation Models
I've been getting a lot of questions about autoregression vs diffusion at #NeurIPS2024 this week! I'm speaking at the adaptive foundation models workshop at 9AM tomorrow (West Hall A), about what happens when we combine modalities and modelling paradigms.
adaptive-foundation-models.org
14.12.2024 04:02 โ ๐ 46 ๐ 6 ๐ฌ 2 ๐ 1
NeurIPS 2024 Adaptive Foundation Models Workshop
Finished packing for NeurIPS!
๐ Workshop: adaptive-foundation-models.org
#NeurIPS2024
08.12.2024 19:27 โ ๐ 6 ๐ 0 ๐ฌ 0 ๐ 0
@tmlr-pub.bsky.social is now up and running!
08.12.2024 18:28 โ ๐ 0 ๐ 1 ๐ฌ 1 ๐ 0
TMLR + Bluesky
Introducing the @tmlr-pub.bsky.social account, that is now posting the latest TMLR published papers! Check it out!
08.12.2024 18:22 โ ๐ 52 ๐ 20 ๐ฌ 1 ๐ 1
VP of Research, GenAI @ Meta (Multimodal LLMs, AI Agents), UPMC Professor of Computer Science at CMU, ex-Director of AI research at @Apple, co-founder Perceptual Machines (acquired by Apple)
@ELLISforEurope PhD Student @bethgelab @caml_lab @Cambridge_Uni @uni_tue; Currently SR @GoogleAI; Previously MPhil @Cambridge_Uni, RA @RutgersU, UG @iiitdelhi
vishaal27.github.io
Mathematician at UCLA. My primary social media account is https://mathstodon.xyz/@tao . I also have a blog at https://terrytao.wordpress.com/ and a home page at https://www.math.ucla.edu/~tao/
Machine Learning and Neuroscience Lab @ Uni Tuebingen, PI: Matthias Bethge, bethgelab.org
Ph.D. student on generative models and domain adaptation for Earth observation ๐ฐ
Previously intern @SonyCSL, @Ircam, @Inria
๐ Personal website: https://lebellig.github.io/
Postdoc (UWaterloo/Perimeter). I study quantum information and machine learning
Professor of Computer Vision/Machine Learning at Imagine/LIGM, รcole nationale des Ponts et Chaussรฉes @ecoledesponts.bsky.social Music & overall happiness ๐ณ๐ชป Born well below 350ppm
๐Paris ๐ https://davidpicard.github.io/
Director, Center for Tech Responsibility@Brown. FAccT OG. AI Bill of Rights coauthor. Former tech advisor to President Biden @WHOSTP. He/him/his. Posts my own.
Principal Research Scientist at IBM Research AI in New York. Speech, Formal/Natural Language Processing. Currently LLM post-training, structured SDG and RL. Opinions my own and non stationary.
ramon.astudillo.com
Data scientist, photographer, occasional climber
Data Science, MS - SUNY Buffalo
Computer Science, BS - University of Wyoming
Director of Artificial Intelligence at https://helsing.ai. Fellow @ellis.eu. Ex Principal Applied Scientist at AWS. Living in absurdism.
http://www0.cs.ucl.ac.uk/staff/c.archambeau/
Researching planning, reasoning, and RL in LLMs. Previously: Google DeepMind, UC Berkeley, MIT. I post about: AI ๐ค, flowers ๐ท, parenting ๐ถ, public transit ๐. She/her.
http://www.jesshamrick.com
TMLR Homepage: https://jmlr.org/tmlr/
TMLR Infinite Conference: https://tmlr.infinite-conf.org/
research scientist at google deepmind.
phd in neural nonsense from stanford.
poolio.github.io
Secular Bayesian.
Professor of Machine Learning at Cambridge Computer Lab
Talent aficionado at http://airetreat.org
Alum of Twitter, Magic Pony and Balderton Capital
Dimensionality Diabolist, Seeker of Optima
Security and Privacy of Machine Learning at UofT, Vector Institute, and Google ๐จ๐ฆ๐ซ๐ท๐ช๐บ Co-Director of Canadian AI Safety Institute (CAISI) Research Program at CIFAR. Opinions mine
International Conference on Learning Representations https://iclr.cc/
PhD student at @amlab.bsky.social
Geometric deep learning + Generative modeling.
๐ณ๐ฑ๐บ๐ธ๐ฎ๐ณ
Organizer @gram-org.bsky.social workshop
๐ Amsterdam/SF