The CVPR program chairs acted on the reviewing crisis in ML/CV conferences. This is a first!
Papers of authors who acted as irresponsable reviewers have been desk rejected. 19 papers are affected in 2025.
This has also been announced for ICCV 2025.
Demis Hassabis, James Manyika, and I wrote up an overview of the AI research work & advances across Google in 2024 (Gemini, NotebookLM, robotics, ML for science, & advances in responsible AI+more). 🎊
Given it a read or paste it into NotebookLM to listen, if you prefer!
blog.google/technology/a...
This was a helpful breakdown. Although, I think people like Phil might want to abandon the Evangelical label altogether rather than trying to reclaim it. At that point, just start a new variant. youtu.be/NiiRnO7UTTk?...
@tcarmody.bsky.social You seem to be pretty familiar with Christian eschatology. Where did you study it? On your own? FWIW the Phil Vischer (veggie tales creator) take on evangelicalism is refreshing, but an unfortunate minority voice.
Hi!! 👋 -- Not sure how I feel about starting a new social media identity, but sometimes its nice to start fresh! Good to see you! I'm still in AI, but liked it better when only game developers and computer scientists cared about it.. haha.
Final Invited talk: Hannah Rose Kirk (Oxford)
Putting the H Back in RLHF: Challenging assumptions of human behaviour for AI alignment — #behavioralml workshop at #neurips2024 #neurips #neurips24 behavioralml.org
3:45-4:15pm: Invited talk: Hoda Heidari (CMU)
Examining large language models as qualitative research participants — really relevant work for LLM human behavior simulation. #neurips2024 #neurips #neurips24
Understanding how algorithms “misunderstand” us and vice versa. Dr. Sendhil Mullainathan (MIT) #neurips2024 #neurips24 #neurips #behavioralml behavioral.org
“Choices does not equal preferences” “clicks are not preferences” Dr. Sendhil Mullainathan (MIT) #neurips2024 #neurips24 #neurips at the #behavioralml workshop behavioralml.org
Photos from the #behavioralml
Workshop invited talk on theory and data for prediction. #neurips #neurips2024 #neurips24
Invited talk: Sendhil Mullainathan (MIT) on
Misunderstandings for the #behavioralml workshop. The understandings between human and algorithm. The room is packed! #neurips2024 #neurips #neurips24 behavioral.org
Standing room only at #BehavioralML workshop! 1:00-1:30pm: Invited talk: Tom Griffiths (Princeton)
Combining theory and data to predict and explain human decisions #neurips2024 #neurips24 #neurips behavioralml.org
Behavioral ML workshop expert panel (behavioralml.org) 10:45-11:45am: Panel (Michael Bernstein, Andreea Bobu, Tom Griffiths, Hoda Heidari, Hannah Rose Kirk, Jon Kleinberg, Sendhil Mullainathan, moderated by Katie Collins) #neurips2024 #neurips #neurips24 #behavioralml
Learning to Cooperate with Humans using Generative Agents (Yancheng Liang, Daphne Chen, Abhishek Gupta, Simon Shaolei Du, Natasha Jaques) — looking at performance in the Overcooked multi agent game! @natashajaques.bsky.social #neurips2024 #neurips24 #neurips #behavioralml
Words that work: Using language to generate hypotheses (Rafael M. Batista, James Ross) #neurips2024 #neurips #neurips24 #behavioralml workshop behavrioralml.org
Superficial Alignment, Subtle Divergence, and Nudge Sensitivity in LLM Decision-Making (Manuel Cherep, Nikhil Singh, Patricia Maes) #neurips2024 #neurips #neurips24 #behavioralml workshop
The Double-Edged Sword of Behavioral Responses in Strategic Classification (Raman Ebrahimi, Kristen Vaccaro, Parinaz Naghizadeh) #neurips2024 #neurips24 #neurips #behavioralml
Spotlight talks for #behavioralml #neurips2024 #neurips24 #neurips behavioral.org PAL: Pluralistic Alignment Framework for Learning from Heterogeneous Preferences (Daiwei Chen, Yi Chen, Aniket Rege, Ramya Korlakai Vinayak)
This is the well known paper about LLM simulations with 2-d jrpg visualization (in a game like virtual world). #neurips2024
#neurips2024 Great talk about human behavior based agents as well as societal impacts.
“Can we create general purpose computational human behavior across domains?” “behavioral simulation empowers science and design.” From the Sims to LLMs. Dr. Michael Berstein (Stanford) #neurips24 #behavioralml #neurips behavioralml.org
“Structure learning by learning representations.” Design to represent human cognition enables more efficient human aligned robot learning. From Dr. Andreea Bobu (MIT) #behavioralml #neurips24 #neurips behavioralml.org
