Research
Publications
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- Date
- Title
- Challenges with unsupervised LLM knowledge discovery
- Authors
- Sebastian Farquhar, Vikrant Varma, Zachary Kenton, Johannes Gasteiger, Vladimir Mikulik, Rohin Shah
- Venue
- arXiv
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- Date
- 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
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- Date
- 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
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- Date
- 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
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- Date
- 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
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- Date
- 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
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- Date
- 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
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- Date
- 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
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- Date
- 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
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- Date
- 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
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- Date
- Title
- Probabilistic Inference in Reinforcement Learning Done Right
- Authors
- Jean Tarbouriech, Tor Lattimore, Brendan O'Donoghue
- Venue
- NeurIPS 2023
-
- Date
- 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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- Date
- 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
- Title
- Optimal Preconditioning and Fisher Adaptive Langevin Sampling
- Authors
- Michalis Titsias
- Venue
- NeurIPS 2023
-
- Date
- 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
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- Date
- Title
- Towards In-context Scene Understanding
- Authors
- Ivana Balazevic, David Steiner, Nikhil Parthasarathy, Relja Arandjelovic, Olivier Henaff
- Venue
- NeurIPS 2023
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- Date
- 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
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- Date
- Title
- Distributional Bellman Operators over Mean-embeddings
- Authors
- Li Kevin Wenliang, Grégoire Delétang, Matthew Aitchison, Marcus Hutter, Anian Ruoss, Arthur Gretton, Mark Rowland
- Venue
- arXiv
-
- Date
- Title
- POMRL: No-Regret Learning-to-Plan with IncreasingHorizons
- Authors
- Khimya Khetarpal, Claire Vernade, Brendan O'Donoghue, Satinder Singh, Tom Zahavy
- Venue
- NeurIPS Workshop 2023
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- Date
- Title
- Revisiting Dynamic Evaluation:Online Adaptation for LLMs
- Authors
- Amal Rannen-Triki, Jörg Bornschein, Alexandre Galashov, Razvan Pascanu, Michalis Titsias, Marcus Hutter, Andras Gyorgy, Yee Whye Teh
- Venue
- DistShift-NeurIPS 23