Publications

Date: 4 Jan 24 4 January 2024
Title: AutoRT: Embodied Foundation Models for Large Scale Orchestration of Robotic Agents
Authors: Alex Irpan, Keerthana Gopalakrishnan, Sergey Levine, Ted Xiao, Peng Xu, Ryan Julian, Sean Kirmani, Debidatta Dwibedi, Karol Hausman, Dorsa Sadigh, ichter , yaolug , Stefan Welker, Pannag Sanketi, Kanishka Rao, Edward Lee, Fei Xia, Isabel Leal, Pierre Sermanet, Nikhil Joshi, Zhuo Xu, Quan Vuong, Michael Ahn, chelseaf , Montse Gonzalez Arenas, Steve Xu, Sharath Maddineni
Venue: arXiv

Date: 25 Dec 23 25 December 2023
Title: GenCast: learning skillful ensemble forecasting of medium-range weather
Authors: Ilan Price, Matthew Willson, Alvaro Sanchez, Peter Battaglia, Remi Lam, Ferran Alet, Jacklynn Stott, Timo Ewalds, Shakir Mohamed
Venue: arXiv

Date: 20 Dec 23 20 December 2023
Title: Zero-Shot Metric Depth with a Field-of-View Conditioned Diffusion Model
Authors: Saurabh Saxena, Junhwa Hur, Charles Herrmann, Deqing Sun, David Fleet
Venue: arXiv

Date: 15 Dec 23 15 December 2023
Title: Learning Silicon Dopant Transitions in Graphene using Scanning Transmission Electron Microscopy
Authors: Max Schwarzer, Jesse Farebrother, Joshua Greaves, Ekin Dogus Cubuk, Rishabh Agarwal, Aaron Courville, Marc G. Bellemare, Sergei Kalinin, Igor Mordatch, Pablo Samuel Castro, Kevin M. Roccapriore
Venue: NeurIPS Workshop 2023

Date: 15 Dec 23 15 December 2023
Title: Challenges with unsupervised LLM knowledge discovery
Authors: Sebastian Farquhar, Vikrant Varma, Zachary Kenton, Johannes Gasteiger, Vladimir Mikulik, Rohin Shah
Venue: arXiv

Date: 14 Dec 23 14 December 2023
Title: Meta-in-context learning in large language models
Authors: Julian Coda-Forno, Marcel Binz, Zeynep Akata, Matthew Botvinick, Jane X. Wang, Eric Schulz
Venue: NeurIPS 2023

Date: 12 Dec 23 12 December 2023
Title: Online RL in Linearly $q^\pi$-Realizable MDPs Is as Easy as in Linear MDPs If You Learn What to Ignore
Authors: Gellért Weisz, Andras Gyorgy, Csaba Szepesvari
Venue: NeurIPS 2023

Date: 12 Dec 23 12 December 2023
Title: A Definition of Continual Reinforcement Learning
Authors: David Abel, André Barreto, Benjamin Van Roy, Doina Precup, Hado van Hasselt, Satinder Singh
Venue: NeurIPS 2023

Date: 12 Dec 23 12 December 2023
Title: Rethinking the Role of Token Retrieval in Multi-Vector Retrieval
Authors: Jinhyuk Lee, Zhuyun Dai, Sai Meher Karthik Duddu, Tao Lei, Iftekhar Naim, Ming-Wei Chang, Vincent Zhao
Venue: NeurIPS 2023

Date: 12 Dec 23 12 December 2023
Title: A Simple Recipe for Contrastively Pre-training Video-First Encoders Beyond 16 Frames
Authors: Nelly Papalampidi, Skanda Koppula, Shreya Pathak, Justin Chiu, Viorica Patraucean, Joe Heyward, Jiajun Shen, Antoine Miech, Andrew Zisserman, Aida Nematzadeh
Venue: CVPR 2024

Date: 12 Dec 23 12 December 2023
Title: Schema-learning and rebinding as mechanisms of in-context learning and emergence
Authors: Sivaramakrishnan Swaminathan, Antoine Dedieu, Rajkumar Vasudeva Raju, Murray Shanahan, Miguel Lázaro-Gredilla, Dileep George
Venue: NeurIPS 2023

Date: 10 Dec 23 10 December 2023
Title: Improving neural network representations using human similarity judgments
Authors: Lukas Muttenthaler, Lorenz Linhardt, Jonas Dippel, Robert A. Vandermeulen, Katherine Hermann, Andrew Lampinen, Simon Kornblith
Venue: NeurIPS 2023

Date: 10 Dec 23 10 December 2023
Title: Passive learning of active causal strategies in agents and language models
Authors: Andrew Lampinen, Stephanie Chan, Ishita Dasgupta, Andrew Nam, Jane Wang
Venue: NeurIPS 2023

Date: 10 Dec 23 10 December 2023
Title: LambdaBeam: Neural Program Search with Higher-Order Functions and Lambdas
Authors: Kensen Shi, Hanjun Dai, Wen-Ding Li*, Kevin Ellis*, Charles Sutton
Venue: NeurIPS 2023

Date: 10 Dec 23 10 December 2023
Title: Benchmarking Robustness to Adversarial Image Obfuscations
Authors: 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
Venue: NeurIPS 2023 Datasets and Benchmarks

Date: 10 Dec 23 10 December 2023
Title: Feature Likelihood Divergence: Evaluating the Generalization of Generative Models Using Samples
Authors: Marco Jiralerspong, Joey Bose, Ian Gemp, Chongli Qin, Yoram Bachrach, Gauthier Gidel
Venue: NeurIPS 2023

Date: 10 Dec 23 10 December 2023
Title: Towards In-context Scene Understanding
Authors: Ivana Balazevic, David Steiner, Nikhil Parthasarathy, Relja Arandjelovic, Olivier Henaff
Venue: NeurIPS 2023

Date: 10 Dec 23 10 December 2023
Title: Optimization and Evaluation of Fine-grained Jaccard Indexes for Semantic Segmentation
Authors: Zifu Wang*, Maxim Berman*, Amal Rannen-Triki, Philip H.S. Torr*, Devis Tuia*, Tinne Tuytelaars*, Luc Van Gool*, Jiaqian Yu*, Matthew Blaschko*
Venue: NeurIPS 2023 Datasets and Benchmarks

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