Hill, Felix

31 publications

ICML 2025 Strategy Coopetition Explains the Emergence and Transience of In-Context Learning Aaditya K Singh, Ted Moskovitz, Sara Dragutinović, Felix Hill, Stephanie C.Y. Chan, Andrew M Saxe

CVPR 2024 SODA: Bottleneck Diffusion Models for Representation Learning Drew A. Hudson, Daniel Zoran, Mateusz Malinowski, Andrew K. Lampinen, Andrew Jaegle, James L. McClelland, Loic Matthey, Felix Hill, Alexander Lerchner

ICML 2024 What Needs to Go Right for an Induction Head? a Mechanistic Study of In-Context Learning Circuits and Their Formation Aaditya K Singh, Ted Moskovitz, Felix Hill, Stephanie C.Y. Chan, Andrew M Saxe

TMLR 2023 Feature-Attending Recurrent Modules for Generalization in Reinforcement Learning Wilka Torrico Carvalho, Andrew Kyle Lampinen, Kyriacos Nikiforou, Felix Hill, Murray Shanahan

ICLR 2023 SemPPL: Predicting Pseudo-Labels for Better Contrastive Representations Matko Bošnjak, Pierre Harvey Richemond, Nenad Tomasev, Florian Strub, Jacob C Walker, Felix Hill, Lars Holger Buesing, Razvan Pascanu, Charles Blundell, Jovana Mitrovic

ICML 2023 The Edge of Orthogonality: A Simple View of What Makes BYOL Tick Pierre Harvey Richemond, Allison Tam, Yunhao Tang, Florian Strub, Bilal Piot, Felix Hill

NeurIPS 2023 The Transient Nature of Emergent In-Context Learning in Transformers Aaditya Singh, Stephanie Chan, Ted Moskovitz, Erin Grant, Andrew Saxe, Felix Hill

CoLLAs 2023 Vision-Language Models as Success Detectors Yuqing Du, Ksenia Konyushkova, Misha Denil, Akhil Raju, Jessica Landon, Felix Hill, Nando Freitas, Serkan Cabi

NeurIPSW 2022 Collaborating with Language Models for Embodied Reasoning Ishita Dasgupta, Christine Kaeser-Chen, Kenneth Marino, Arun Ahuja, Sheila Babayan, Felix Hill, Rob Fergus

NeurIPSW 2022 Collaborating with Language Models for Embodied Reasoning Ishita Dasgupta, Christine Kaeser-Chen, Kenneth Marino, Arun Ahuja, Sheila Babayan, Felix Hill, Rob Fergus

NeurIPS 2022 Data Distributional Properties Drive Emergent In-Context Learning in Transformers Stephanie Chan, Adam Santoro, Andrew Lampinen, Jane Wang, Aaditya Singh, Pierre Richemond, James L. McClelland, Felix Hill

NeurIPSW 2022 Meaning Without Reference in Large Language Models Steven Piantadosi, Felix Hill

NeurIPS 2022 Semantic Exploration from Language Abstractions and Pretrained Representations Allison Tam, Neil Rabinowitz, Andrew Lampinen, Nicholas A. Roy, Stephanie Chan, Dj Strouse, Jane Wang, Andrea Banino, Felix Hill

ICML 2022 Tell Me Why! Explanations Support Learning Relational and Causal Structure Andrew K Lampinen, Nicholas Roy, Ishita Dasgupta, Stephanie Cy Chan, Allison Tam, James Mcclelland, Chen Yan, Adam Santoro, Neil C Rabinowitz, Jane Wang, Felix Hill

CoLLAs 2022 Zipfian Environments for Reinforcement Learning Stephanie C.Y. Chan, Andrew Kyle Lampinen, Pierre Harvey Richemond, Felix Hill

NeurIPS 2021 Attention over Learned Object Embeddings Enables Complex Visual Reasoning David Ding, Felix Hill, Adam Santoro, Malcolm Reynolds, Matt Botvinick

ICLR 2021 Grounded Language Learning Fast and Slow Felix Hill, Olivier Tieleman, Tamara von Glehn, Nathaniel Wong, Hamza Merzic, Stephen Clark

NeurIPS 2021 Multimodal Few-Shot Learning with Frozen Language Models Maria Tsimpoukelli, Jacob L Menick, Serkan Cabi, S. M. Ali Eslami, Oriol Vinyals, Felix Hill

NeurIPSW 2021 Task-Driven Discovery of Perceptual Schemas for Generalization in Reinforcement Learning Wilka Torrico Carvalho, Andrew Kyle Lampinen, Kyriacos Nikiforou, Felix Hill, Murray Shanahan

NeurIPS 2021 Towards Mental Time Travel: A Hierarchical Memory for Reinforcement Learning Agents Andrew Lampinen, Stephanie Chan, Andrea Banino, Felix Hill

ICLR 2020 Environmental Drivers of Systematicity and Generalization in a Situated Agent Felix Hill, Andrew Lampinen, Rosalia Schneider, Stephen Clark, Matthew Botvinick, James L. McClelland, Adam Santoro

ICML 2020 Probing Emergent Semantics in Predictive Agents via Question Answering Abhishek Das, Federico Carnevale, Hamza Merzic, Laura Rimell, Rosalia Schneider, Josh Abramson, Alden Hung, Arun Ahuja, Stephen Clark, Greg Wayne, Felix Hill

ICLR 2019 Analysing Mathematical Reasoning Abilities of Neural Models David Saxton, Edward Grefenstette, Felix Hill, Pushmeet Kohli

ICLR 2019 GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language Understanding Alex Wang, Amanpreet Singh, Julian Michael, Felix Hill, Omer Levy, Samuel R. Bowman

ICLR 2019 Learning to Make Analogies by Contrasting Abstract Relational Structure Felix Hill, Adam Santoro, David Barrett, Ari Morcos, Timothy Lillicrap

ICLR 2019 Learning to Understand Goal Specifications by Modelling Reward Dzmitry Bahdanau, Felix Hill, Jan Leike, Edward Hughes, Arian Hosseini, Pushmeet Kohli, Edward Grefenstette

NeurIPS 2019 SuperGLUE: A Stickier Benchmark for General-Purpose Language Understanding Systems Alex Wang, Yada Pruksachatkun, Nikita Nangia, Amanpreet Singh, Julian Michael, Felix Hill, Omer Levy, Samuel Bowman

ICML 2018 Measuring Abstract Reasoning in Neural Networks David Barrett, Felix Hill, Adam Santoro, Ari Morcos, Timothy Lillicrap

NeurIPS 2018 Neural Arithmetic Logic Units Andrew Trask, Felix Hill, Scott E Reed, Jack Rae, Chris Dyer, Phil Blunsom

ICLR 2016 The Goldilocks Principle: Reading Children's Books with Explicit Memory Representations Felix Hill, Antoine Bordes, Sumit Chopra, Jason Weston

ICLR 2015 Embedding Word Similarity with Neural Machine Translation Felix Hill, Kyunghyun Cho, Sébastien Jean, Coline Devin, Yoshua Bengio