Felix Hill

Publication Activity (10 Years)

Years Active: 2012-2024
Publications (10 Years): 79

Top Topics

Causal Structure

Reinforcement Learning

Top Venues

Publications

SIMA Team, Maria Abi Raad, Arun Ahuja, Catarina Barros, Frederic Besse, Andrew Bolt, Adrian Bolton, Bethanie Brownfield, Gavin Buttimore, Max Cant, Sarah Chakera, Stephanie C. Y. Chan, Jeff Clune, Adrian Collister, Vikki Copeman, Alex Cullum, Ishita Dasgupta, Dario de Cesare, Julia Di Trapani, Yani Donchev, Emma Dunleavy, Martin Engelcke, Ryan Faulkner, Frankie Garcia, Charles Gbadamosi, Zhitao Gong, Lucy Gonzalez, Kshitij Gupta, Karol Gregor, Arne Olav Hallingstad, Tim Harley, Sam Haves, Felix Hill, Ed Hirst, Drew A. Hudson, Jony Hudson, Steph Hughes-Fitt, Danilo J. Rezende, Mimi Jasarevic, Laura Kampis, Nan Rosemary Ke, Thomas Keck, Junkyung Kim, Oscar Knagg, Kavya Kopparapu, Andrew K. Lampinen, Shane Legg, Alexander Lerchner, Marjorie Limont, Yulan Liu, Maria Loks-Thompson, Joseph Marino, Kathryn Martin Cussons, Loic Matthey, Siobhan Mcloughlin, Piermaria Mendolicchio, Hamza Merzic, Anna Mitenkova, Alexandre Moufarek, Valéria Oliveira, Yanko Gitahy Oliveira, Hannah Openshaw, Renke Pan, Aneesh Pappu, Alex Platonov, Ollie Purkiss, David P. Reichert, John Reid, Pierre Harvey Richemond, Tyson Roberts, Giles Ruscoe, Jaume Sanchez Elias, Tasha Sandars, Daniel P. Sawyer, Tim Scholtes, Guy Simmons, Daniel Slater, Hubert Soyer, Heiko Strathmann, Peter Stys, Allison C. Tam, Denis Teplyashin, Tayfun Terzi, Davide Vercelli, Bojan Vujatovic, Marcus Wainwright, Jane X. Wang, Zhengdong Wang, Daan Wierstra, Duncan Williams, Nathaniel Wong, Sarah York, Nick Young
Scaling Instructable Agents Across Many Simulated Worlds. CoRR (2024)
Aaditya K. Singh, Ted Moskovitz, Felix Hill, Stephanie C. Y. Chan, Andrew M. Saxe
What needs to go right for an induction head? A mechanistic study of in-context learning circuits and their formation. CoRR (2024)
Yuqing Du, Ksenia Konyushkova, Misha Denil, Akhil Raju, Jessica Landon, Felix Hill, Nando de Freitas, Serkan Cabi
Vision-Language Models as Success Detectors. CoLLAs (2023)
Aaditya K. Singh, Stephanie C. Y. Chan, Ted Moskovitz, Erin Grant, Andrew M. Saxe, Felix Hill
The Transient Nature of Emergent In-Context Learning in Transformers. NeurIPS (2023)
Aaditya K. Singh, Stephanie C. Y. Chan, Ted Moskovitz, Erin Grant, Andrew M. Saxe, Felix Hill
The Transient Nature of Emergent In-Context Learning in Transformers. CoRR (2023)
Pierre Harvey Richemond, Allison C. Tam, Yunhao Tang, Florian Strub, Bilal Piot, Felix Hill
The Edge of Orthogonality: A Simple View of What Makes BYOL Tick. ICML (2023)
Matko Bosnjak, Pierre H. Richemond, Nenad Tomasev, Florian Strub, Jacob C. Walker, Felix Hill, Lars Holger Buesing, Razvan Pascanu, Charles Blundell, Jovana Mitrovic
SemPPL: Predicting pseudo-labels for better contrastive representations. CoRR (2023)
Matko Bosnjak, Pierre Harvey Richemond, Nenad Tomasev, Florian Strub, Jacob C. Walker, Felix Hill, Lars Holger Buesing, Razvan Pascanu, Charles Blundell, Jovana Mitrovic
SemPPL: Predicting Pseudo-Labels for Better Contrastive Representations. ICLR (2023)
Ishita Dasgupta, Christine Kaeser-Chen, Kenneth Marino, Arun Ahuja, Sheila Babayan, Felix Hill, Rob Fergus
Collaborating with language models for embodied reasoning. CoRR (2023)
Pierre H. Richemond, Allison C. Tam, Yunhao Tang, Florian Strub, Bilal Piot, Felix Hill
The Edge of Orthogonality: A Simple View of What Makes BYOL Tick. CoRR (2023)
Yuqing Du, Ksenia Konyushkova, Misha Denil, Akhil Raju, Jessica Landon, Felix Hill, Nando de Freitas, Serkan Cabi
Vision-Language Models as Success Detectors. CoRR (2023)
Aaditya K. Singh, David Ding, Andrew Saxe, Felix Hill, Andrew K. Lampinen
Know your audience: specializing grounded language models with listener subtraction. EACL (2023)
Drew A. Hudson, Daniel Zoran, Mateusz Malinowski, Andrew K. Lampinen, Andrew Jaegle, James L. McClelland, Loic Matthey, Felix Hill, Alexander Lerchner
SODA: Bottleneck Diffusion Models for Representation Learning. CoRR (2023)
Wilka Carvalho, Andrew Kyle Lampinen, Kyriacos Nikiforou, Felix Hill, Murray Shanahan
Feature-Attending Recurrent Modules for Generalization in Reinforcement Learning. Trans. Mach. Learn. Res. 2023 (2023)
Allison C. Tam, Neil C. Rabinowitz, Andrew K. Lampinen, Nicholas A. Roy, Stephanie C. Y. Chan, DJ Strouse, Jane X. Wang, Andrea Banino, Felix Hill
Semantic Exploration from Language Abstractions and Pretrained Representations. CoRR (2022)
Allison C. Tam, Neil C. Rabinowitz, Andrew K. Lampinen, Nicholas A. Roy, Stephanie C. Y. Chan, DJ Strouse, Jane Wang, Andrea Banino, Felix Hill
Semantic Exploration from Language Abstractions and Pretrained Representations. NeurIPS (2022)
Stephanie C. Y. Chan, Adam Santoro, Andrew K. Lampinen, Jane X. Wang, Aaditya Singh, Pierre H. Richemond, Jay McClelland, Felix Hill
Data Distributional Properties Drive Emergent In-Context Learning in Transformers. CoRR (2022)
Andrew K. Lampinen, Nicholas A. Roy, Ishita Dasgupta, Stephanie Cy Chan, Allison C. Tam, James L. McClelland, Chen Yan, Adam Santoro, Neil C. Rabinowitz, Jane X. Wang, Felix Hill
Tell me why! Explanations support learning relational and causal structure. ICML (2022)
Stephanie Chan, Adam Santoro, Andrew K. Lampinen, Jane Wang, Aaditya Singh, Pierre H. Richemond, James L. McClelland, Felix Hill
Data Distributional Properties Drive Emergent In-Context Learning in Transformers. NeurIPS (2022)
Steven T. Piantadosi, Felix Hill
Meaning without reference in large language models. CoRR (2022)
Andrew K. Lampinen, Ishita Dasgupta, Stephanie C. Y. Chan, Kory Matthewson, Michael Henry Tessler, Antonia Creswell, James L. McClelland, Jane X. Wang, Felix Hill
Can language models learn from explanations in context? CoRR (2022)
Stephanie C. Y. Chan, Andrew K. Lampinen, Pierre H. Richemond, Felix Hill
Zipfian environments for Reinforcement Learning. CoRR (2022)
Stephanie C. Y. Chan, Ishita Dasgupta, Junkyung Kim, Dharshan Kumaran, Andrew K. Lampinen, Felix Hill
Transformers generalize differently from information stored in context vs in weights. CoRR (2022)
Ishita Dasgupta, Andrew K. Lampinen, Stephanie C. Y. Chan, Antonia Creswell, Dharshan Kumaran, James L. McClelland, Felix Hill
Language models show human-like content effects on reasoning. CoRR (2022)
Stephanie C. Y. Chan, Andrew Kyle Lampinen, Pierre Harvey Richemond, Felix Hill
Zipfian Environments for Reinforcement Learning. CoLLAs (2022)
Aaditya K. Singh, David Ding, Andrew Saxe, Felix Hill, Andrew K. Lampinen
Know your audience: specializing grounded language models with the game of Dixit. CoRR (2022)
Andrew K. Lampinen, Ishita Dasgupta, Stephanie C. Y. Chan, Kory W. Mathewson, Mh Tessler, Antonia Creswell, James L. McClelland, Jane Wang, Felix Hill
Can language models learn from explanations in context? EMNLP (Findings) (2022)
Maria Tsimpoukelli, Jacob Menick, Serkan Cabi, S. M. Ali Eslami, Oriol Vinyals, Felix Hill
Multimodal Few-Shot Learning with Frozen Language Models. NeurIPS (2021)
Andrew K. Lampinen, Nicholas A. Roy, Ishita Dasgupta, Stephanie C. Y. Chan, Allison C. Tam, James L. McClelland, Chen Yan, Adam Santoro, Neil C. Rabinowitz, Jane X. Wang, Felix Hill
Tell me why! - Explanations support learning of relational and causal structure. CoRR (2021)
Maria Tsimpoukelli, Jacob Menick, Serkan Cabi, S. M. Ali Eslami, Oriol Vinyals, Felix Hill
Multimodal Few-Shot Learning with Frozen Language Models. CoRR (2021)
Thomas Scialom, Felix Hill
BEAMetrics: A Benchmark for Language Generation Evaluation Evaluation. CoRR (2021)
David Ding, Felix Hill, Adam Santoro, Malcolm Reynolds, Matt M. Botvinick
Attention over Learned Object Embeddings Enables Complex Visual Reasoning. NeurIPS (2021)
Josh Abramson, Arun Ahuja, Arthur Brussee, Federico Carnevale, Mary Cassin, Felix Fischer, Petko Georgiev, Alex Goldin, Tim Harley, Felix Hill, Peter C. Humphreys, Alden Hung, Jessica Landon, Timothy P. Lillicrap, Hamza Merzic, Alistair Muldal, Adam Santoro, Guy Scully, Tamara von Glehn, Greg Wayne, Nathaniel Wong, Chen Yan, Rui Zhu
Creating Multimodal Interactive Agents with Imitation and Self-Supervised Learning. CoRR (2021)
Andrew Kyle Lampinen, Stephanie C. Y. Chan, Andrea Banino, Felix Hill
Towards mental time travel: a hierarchical memory for reinforcement learning agents. CoRR (2021)
Andrew K. Lampinen, Stephanie C. Y. Chan, Andrea Banino, Felix Hill
Towards mental time travel: a hierarchical memory for reinforcement learning agents. NeurIPS (2021)
Wilka Carvalho, Andrew K. Lampinen, Kyriacos Nikiforou, Felix Hill, Murray Shanahan
Feature-Attending Recurrent Modules for Generalization in Reinforcement Learning. CoRR (2021)
Felix Hill, Olivier Tieleman, Tamara von Glehn, Nathaniel Wong, Hamza Merzic, Stephen Clark
Grounded Language Learning Fast and Slow. ICLR (2021)
Felix Hill, Sona Mokra, Nathaniel Wong, Tim Harley
Human Instruction-Following with Deep Reinforcement Learning via Transfer-Learning from Text. CoRR (2020)
David Ding, Felix Hill, Adam Santoro, Matt M. Botvinick
Object-based attention for spatio-temporal reasoning: Outperforming neuro-symbolic models with flexible distributed architectures. CoRR (2020)
Felix Hill, Andrew K. Lampinen, Rosalia Schneider, Stephen Clark, Matthew Botvinick, James L. McClelland, Adam Santoro
Environmental drivers of systematicity and generalization in a situated agent. ICLR (2020)
Felix Hill, Stephen Clark, Phil Blunsom, Karl Moritz Hermann
Simulating Early Word Learning in Situated Connectionist Agents. CogSci (2020)
Abhishek Das, Federico Carnevale, Hamza Merzic, Laura Rimell, Rosalia Schneider, Josh Abramson, Alden Hung, Arun Ahuja, Stephen Clark, Greg Wayne, Felix Hill
Probing Emergent Semantics in Predictive Agents via Question Answering. ICML (2020)
Josh Abramson, Arun Ahuja, Arthur Brussee, Federico Carnevale, Mary Cassin, Stephen Clark, Andrew Dudzik, Petko Georgiev, Aurelia Guy, Tim Harley, Felix Hill, Alden Hung, Zachary Kenton, Jessica Landon, Timothy P. Lillicrap, Kory W. Mathewson, Alistair Muldal, Adam Santoro, Nikolay Savinov, Vikrant Varma, Greg Wayne, Nathaniel Wong, Chen Yan, Rui Zhu
Imitating Interactive Intelligence. CoRR (2020)
Felix Hill, Olivier Tieleman, Tamara von Glehn, Nathaniel Wong, Hamza Merzic, Stephen Clark
Grounded Language Learning Fast and Slow. CoRR (2020)
David Barrett, Felix Hill, Adam Santoro, Jay McClelland
Cognitive consequences of structured education in a connectionist model of analogical reasoning. CogSci (2020)
Abhishek Das, Federico Carnevale, Hamza Merzic, Laura Rimell, Rosalia Schneider, Josh Abramson, Alden Hung, Arun Ahuja, Stephen Clark, Gregory Wayne, Felix Hill
Probing Emergent Semantics in Predictive Agents via Question Answering. CoRR (2020)
Felix Hill, Adam Santoro, David G. T. Barrett, Ari S. Morcos, Timothy P. Lillicrap
Learning to Make Analogies by Contrasting Abstract Relational Structure. CoRR (2019)
David Saxton, Edward Grefenstette, Felix Hill, Pushmeet Kohli
Analysing Mathematical Reasoning Abilities of Neural Models. ICLR (Poster) (2019)
Felix Hill, Andrew K. Lampinen, Rosalia Schneider, Stephen Clark, Matthew Botvinick, James L. McClelland, Adam Santoro
Emergent Systematic Generalization in a Situated Agent. CoRR (2019)
Mostafa Abdou, Artur Kulmizev, Felix Hill, Daniel M. Low, Anders Søgaard
Higher-order Comparisons of Sentence Encoder Representations. CoRR (2019)
Adam Santoro, Felix Hill, David G. T. Barrett, David Raposo, Matthew Botvinick, Timothy P. Lillicrap
Is coding a relevant metaphor for building AI? A commentary on "Is coding a relevant metaphor for the brain?", by Romain Brette. CoRR (2019)
Felix Hill, Adam Santoro, David G. T. Barrett, Ari S. Morcos, Timothy P. Lillicrap
Learning to Make Analogies by Contrasting Abstract Relational Structure. ICLR (Poster) (2019)
Alex Wang, Yada Pruksachatkun, Nikita Nangia, Amanpreet Singh, Julian Michael, Felix Hill, Omer Levy, Samuel R. Bowman
SuperGLUE: A Stickier Benchmark for General-Purpose Language Understanding Systems. CoRR (2019)
Mostafa Abdou, Artur Kulmizev, Felix Hill, Daniel M. Low, Anders Søgaard
Higher-order Comparisons of Sentence Encoder Representations. EMNLP/IJCNLP (1) (2019)
James L. McClelland, Felix Hill, Maja Rudolph, Jason Baldridge, Hinrich Schütze
Extending Machine Language Models toward Human-Level Language Understanding. CoRR (2019)
Alex Wang, Amanpreet Singh, Julian Michael, Felix Hill, Omer Levy, Samuel R. Bowman
GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language Understanding. ICLR (Poster) (2019)
David Saxton, Edward Grefenstette, Felix Hill, Pushmeet Kohli
Analysing Mathematical Reasoning Abilities of Neural Models. CoRR (2019)
Dzmitry Bahdanau, Felix Hill, Jan Leike, Edward Hughes, Seyed Arian Hosseini, Pushmeet Kohli, Edward Grefenstette
Learning to Understand Goal Specifications by Modelling Reward. ICLR (Poster) (2019)
Alex Wang, Yada Pruksachatkun, Nikita Nangia, Amanpreet Singh, Julian Michael, Felix Hill, Omer Levy, Samuel R. Bowman
SuperGLUE: A Stickier Benchmark for General-Purpose Language Understanding Systems. NeurIPS (2019)
Dzmitry Bahdanau, Felix Hill, Jan Leike, Edward Hughes, Pushmeet Kohli, Edward Grefenstette
Learning to Follow Language Instructions with Adversarial Reward Induction. CoRR (2018)
Aishwarya Agrawal, Mateusz Malinowski, Felix Hill, S. M. Ali Eslami, Oriol Vinyals, Tejas Kulkarni
Generating Diverse Programs with Instruction Conditioned Reinforced Adversarial Learning. CoRR (2018)
Alex Wang, Amanpreet Singh, Julian Michael, Felix Hill, Omer Levy, Samuel R. Bowman
GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language Understanding. BlackboxNLP@EMNLP (2018)
Dzmitry Bahdanau, Felix Hill, Jan Leike, Edward Hughes, Pushmeet Kohli, Edward Grefenstette
Jointly Learning "What" and "How" from Instructions and Goal-States. ICLR (Workshop) (2018)
Alex Wang, Amanpreet Singh, Julian Michael, Felix Hill, Omer Levy, Samuel R. Bowman
GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language Understanding. CoRR (2018)
Adam Santoro, Felix Hill, David G. T. Barrett, Ari S. Morcos, Timothy P. Lillicrap
Measuring abstract reasoning in neural networks. ICML (2018)
Andrew Trask, Felix Hill, Scott E. Reed, Jack W. Rae, Chris Dyer, Phil Blunsom
Neural Arithmetic Logic Units. NeurIPS (2018)
David G. T. Barrett, Felix Hill, Adam Santoro, Ari S. Morcos, Timothy P. Lillicrap
Measuring abstract reasoning in neural networks. CoRR (2018)
Andrew Trask, Felix Hill, Scott E. Reed, Jack W. Rae, Chris Dyer, Phil Blunsom
Neural Arithmetic Logic Units. CoRR (2018)
Karl Moritz Hermann, Felix Hill, Simon Green, Fumin Wang, Ryan Faulkner, Hubert Soyer, David Szepesvari, Wojciech Marian Czarnecki, Max Jaderberg, Denis Teplyashin, Marcus Wainwright, Chris Apps, Demis Hassabis, Phil Blunsom
Grounded Language Learning in a Simulated 3D World. CoRR (2017)
Felix Hill, Kyunghyun Cho, Sébastien Jean, Yoshua Bengio
The representational geometry of word meanings acquired by neural machine translation models. Mach. Transl. 31 (1-2) (2017)
Ivan Vulic, Daniela Gerz, Douwe Kiela, Felix Hill, Anna Korhonen
HyperLex: A Large-Scale Evaluation of Graded Lexical Entailment. Comput. Linguistics 43 (4) (2017)
Felix Hill, Karl Moritz Hermann, Phil Blunsom, Stephen Clark
Understanding Grounded Language Learning Agents. CoRR (2017)
Felix Hill, Antoine Bordes, Sumit Chopra, Jason Weston
The Goldilocks Principle: Reading Children's Books with Explicit Memory Representations. ICLR (2016)
Felix Hill, Kyunghyun Cho, Anna Korhonen
Learning Distributed Representations of Sentences from Unlabelled Data. CoRR (2016)
Daniela Gerz, Ivan Vulic, Felix Hill, Roi Reichart, Anna Korhonen
SimVerb-3500: A Large-Scale Evaluation Set of Verb Similarity. EMNLP (2016)
Felix Hill, Kyunghyun Cho, Anna Korhonen
Learning Distributed Representations of Sentences from Unlabelled Data. HLT-NAACL (2016)
Felix Hill, KyungHyun Cho, Anna Korhonen, Yoshua Bengio
Learning to Understand Phrases by Embedding the Dictionary. Trans. Assoc. Comput. Linguistics 4 (2016)
Ivan Vulic, Daniela Gerz, Douwe Kiela, Felix Hill, Anna Korhonen
HyperLex: A Large-Scale Evaluation of Graded Lexical Entailment. CoRR (2016)
Daniela Gerz, Ivan Vulic, Felix Hill, Roi Reichart, Anna Korhonen
SimVerb-3500: A Large-Scale Evaluation Set of Verb Similarity. CoRR (2016)
Felix Hill, Kyunghyun Cho, Anna Korhonen, Yoshua Bengio
Learning to Understand Phrases by Embedding the Dictionary. CoRR (2015)
Douwe Kiela, Felix Hill, Stephen Clark
Specializing Word Embeddings for Similarity or Relatedness. EMNLP (2015)
Felix Hill, Roi Reichart, Anna Korhonen
SimLex-999: Evaluating Semantic Models With (Genuine) Similarity Estimation. Comput. Linguistics 41 (4) (2015)
Felix Hill, Kyunghyun Cho, Sébastien Jean, Coline Devin, Yoshua Bengio
Embedding Word Similarity with Neural Machine Translation. ICLR (Workshop) (2015)
Felix Hill, KyungHyun Cho, Sébastien Jean, Coline Devin, Yoshua Bengio
Not All Neural Embeddings are Born Equal. CoRR (2014)
Felix Hill, Roi Reichart, Anna Korhonen
Multi-Modal Models for Concrete and Abstract Concept Meaning. Trans. Assoc. Comput. Linguistics 2 (2014)
Felix Hill, Anna Korhonen
Learning Abstract Concept Embeddings from Multi-Modal Data: Since You Probably Can't See What I Mean. EMNLP (2014)
Felix Hill, Anna Korhonen
Concreteness and Subjectivity as Dimensions of Lexical Meaning. ACL (2) (2014)
Douwe Kiela, Felix Hill, Anna Korhonen, Stephen Clark
Improving Multi-Modal Representations Using Image Dispersion: Why Less is Sometimes More. ACL (2) (2014)
Felix Hill, Anna Korhonen, Christian Bentz
A Quantitative Empirical Analysis of the Abstract/Concrete Distinction. Cogn. Sci. 38 (1) (2014)
Felix Hill, Roi Reichart, Anna Korhonen
SimLex-999: Evaluating Semantic Models with (Genuine) Similarity Estimation. CoRR (2014)
Felix Hill, Douwe Kiela, Anna Korhonen
Concreteness and Corpora: A Theoretical and Practical Study. CMCL (2013)
Felix Hill, Anna Korhonen, Christian Bentz
Large-Scale Empricial Analyses of the Abstract/Concrete Distinction. CogSci (2013)
Felix Hill
Beauty Before Age? Applying Subjectivity to Automatic English Adjective Ordering. HLT-NAACL (2012)