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Journal Articles
- 2023
[j7]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)- 2017
- [j6]Ivan Vulic, Daniela Gerz, Douwe Kiela, Felix Hill, Anna Korhonen:
HyperLex: A Large-Scale Evaluation of Graded Lexical Entailment. Comput. Linguistics 43(4) (2017) - [j5]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): 3-18 (2017) - 2016
- [j4]Felix Hill, KyungHyun Cho, Anna Korhonen, Yoshua Bengio:
Learning to Understand Phrases by Embedding the Dictionary. Trans. Assoc. Comput. Linguistics 4: 17-30 (2016) - 2015
- [j3]Felix Hill, Roi Reichart, Anna Korhonen:
SimLex-999: Evaluating Semantic Models With (Genuine) Similarity Estimation. Comput. Linguistics 41(4): 665-695 (2015) - 2014
- [j2]Felix Hill, Anna Korhonen, Christian Bentz:
A Quantitative Empirical Analysis of the Abstract/Concrete Distinction. Cogn. Sci. 38(1): 162-177 (2014) - [j1]Felix Hill, Roi Reichart, Anna Korhonen:
Multi-Modal Models for Concrete and Abstract Concept Meaning. Trans. Assoc. Comput. Linguistics 2: 285-296 (2014)
Conference and Workshop Papers
- 2024
- [c41]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. CVPR 2024: 23115-23127 - [c40]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. ICML 2024 - 2023
- [c39]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: 120-136 - [c38]Aaditya K. Singh, David Ding, Andrew M. Saxe, Felix Hill, Andrew K. Lampinen:
Know your audience: specializing grounded language models with listener subtraction. EACL 2023: 3866-3893 - [c37]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 - [c36]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: 29063-29081 - [c35]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 - 2022
- [c34]Stephanie C. Y. Chan, Andrew Kyle Lampinen, Pierre Harvey Richemond, Felix Hill:
Zipfian Environments for Reinforcement Learning. CoLLAs 2022: 406-429 - [c33]Andrew K. Lampinen, Ishita Dasgupta, Stephanie C. Y. Chan, Kory W. Mathewson, Michael Henry Tessler, Antonia Creswell, James L. McClelland, Jane Wang, Felix Hill:
Can language models learn from explanations in context? EMNLP (Findings) 2022: 537-563 - [c32]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 relational and causal structure. ICML 2022: 11868-11890 - [c31]Stephanie C. Y. Chan, Adam Santoro, Andrew K. Lampinen, Jane X. Wang, Aaditya K. Singh, Pierre H. Richemond, James L. McClelland, Felix Hill:
Data Distributional Properties Drive Emergent In-Context Learning in Transformers. NeurIPS 2022 - [c30]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 - 2021
- [c29]Felix Hill, Olivier Tieleman, Tamara von Glehn, Nathaniel Wong, Hamza Merzic, Stephen Clark:
Grounded Language Learning Fast and Slow. ICLR 2021 - [c28]Maria Tsimpoukelli, Jacob Menick, Serkan Cabi, S. M. Ali Eslami, Oriol Vinyals, Felix Hill:
Multimodal Few-Shot Learning with Frozen Language Models. NeurIPS 2021: 200-212 - [c27]David Ding, Felix Hill, Adam Santoro, Malcolm Reynolds, Matt M. Botvinick:
Attention over Learned Object Embeddings Enables Complex Visual Reasoning. NeurIPS 2021: 9112-9124 - [c26]Andrew K. Lampinen, Stephanie C. Y. Chan, Andrea Banino, Felix Hill:
Towards mental time travel: a hierarchical memory for reinforcement learning agents. NeurIPS 2021: 28182-28195 - 2020
- [c25]David Barrett, Felix Hill, Adam Santoro, Jay McClelland:
Cognitive consequences of structured education in a connectionist model of analogical reasoning. CogSci 2020 - [c24]Felix Hill, Stephen Clark, Phil Blunsom, Karl Moritz Hermann:
Simulating Early Word Learning in Situated Connectionist Agents. CogSci 2020 - [c23]Felix Hill, Andrew K. Lampinen, Rosalia Schneider, Stephen Clark, Matthew M. Botvinick, James L. McClelland, Adam Santoro:
Environmental drivers of systematicity and generalization in a situated agent. ICLR 2020 - [c22]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: 2376-2391 - 2019
- [c21]Mostafa Abdou, Artur Kulmizev, Felix Hill, Daniel M. Low, Anders Søgaard:
Higher-order Comparisons of Sentence Encoder Representations. EMNLP/IJCNLP (1) 2019: 5837-5844 - [c20]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 - [c19]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 - [c18]David Saxton, Edward Grefenstette, Felix Hill, Pushmeet Kohli:
Analysing Mathematical Reasoning Abilities of Neural Models. ICLR (Poster) 2019 - [c17]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 - [c16]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: 3261-3275 - 2018
- [c15]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: 353-355 - [c14]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 - [c13]Adam Santoro, Felix Hill, David G. T. Barrett, Ari S. Morcos, Timothy P. Lillicrap:
Measuring abstract reasoning in neural networks. ICML 2018: 4477-4486 - [c12]Andrew Trask, Felix Hill, Scott E. Reed, Jack W. Rae, Chris Dyer, Phil Blunsom:
Neural Arithmetic Logic Units. NeurIPS 2018: 8046-8055 - 2016
- [c11]Daniela Gerz, Ivan Vulic, Felix Hill, Roi Reichart, Anna Korhonen:
SimVerb-3500: A Large-Scale Evaluation Set of Verb Similarity. EMNLP 2016: 2173-2182 - [c10]Felix Hill, Kyunghyun Cho, Anna Korhonen:
Learning Distributed Representations of Sentences from Unlabelled Data. HLT-NAACL 2016: 1367-1377 - [c9]Felix Hill, Antoine Bordes, Sumit Chopra, Jason Weston:
The Goldilocks Principle: Reading Children's Books with Explicit Memory Representations. ICLR 2016 - 2015
- [c8]Douwe Kiela, Felix Hill, Stephen Clark:
Specializing Word Embeddings for Similarity or Relatedness. EMNLP 2015: 2044-2048 - [c7]Felix Hill, Kyunghyun Cho, Sébastien Jean, Coline Devin, Yoshua Bengio:
Embedding Word Similarity with Neural Machine Translation. ICLR (Workshop) 2015 - 2014
- [c6]Felix Hill, Anna Korhonen:
Concreteness and Subjectivity as Dimensions of Lexical Meaning. ACL (2) 2014: 725-731 - [c5]Douwe Kiela, Felix Hill, Anna Korhonen, Stephen Clark:
Improving Multi-Modal Representations Using Image Dispersion: Why Less is Sometimes More. ACL (2) 2014: 835-841 - [c4]Felix Hill, Anna Korhonen:
Learning Abstract Concept Embeddings from Multi-Modal Data: Since You Probably Can't See What I Mean. EMNLP 2014: 255-265 - 2013
- [c3]Felix Hill, Douwe Kiela, Anna Korhonen:
Concreteness and Corpora: A Theoretical and Practical Study. CMCL 2013: 75-83 - [c2]Felix Hill, Anna Korhonen, Christian Bentz:
Large-Scale Empricial Analyses of the Abstract/Concrete Distinction. CogSci 2013 - 2012
- [c1]Felix Hill:
Beauty Before Age? Applying Subjectivity to Automatic English Adjective Ordering. HLT-NAACL 2012: 11-16
Editorship
- 2018
- [e2]Isabelle Augenstein, Kris Cao, He He, Felix Hill, Spandana Gella, Jamie Kiros, Hongyuan Mei, Dipendra Misra:
Proceedings of The Third Workshop on Representation Learning for NLP, Rep4NLP@ACL 2018, Melbourne, Australia, July 20, 2018. Association for Computational Linguistics 2018, ISBN 978-1-948087-43-8 [contents] - 2017
- [e1]Samuel R. Bowman, Yoav Goldberg, Felix Hill, Angeliki Lazaridou, Omer Levy, Roi Reichart, Anders Søgaard:
Proceedings of the 2nd Workshop on Evaluating Vector Space Representations for NLP, RepEval@EMNLP 2017, Copenhagen, Denmark, September 8, 2017. Association for Computational Linguistics 2017, ISBN 978-1-945626-90-6 [contents]
Informal and Other Publications
- 2024
- [i48]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 abs/2404.07129 (2024) - [i47]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 abs/2404.10179 (2024) - [i46]Felix Hill:
Why transformers are obviously good models of language. CoRR abs/2408.03855 (2024) - 2023
- [i45]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 abs/2301.05158 (2023) - [i44]Ishita Dasgupta, Christine Kaeser-Chen, Kenneth Marino, Arun Ahuja, Sheila Babayan, Felix Hill, Rob Fergus:
Collaborating with language models for embodied reasoning. CoRR abs/2302.00763 (2023) - [i43]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 abs/2302.04817 (2023) - [i42]Yuqing Du, Ksenia Konyushkova, Misha Denil, Akhil Raju, Jessica Landon, Felix Hill, Nando de Freitas, Serkan Cabi:
Vision-Language Models as Success Detectors. CoRR abs/2303.07280 (2023) - [i41]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 abs/2311.08360 (2023) - [i40]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 abs/2311.17901 (2023) - 2022
- [i39]Stephanie C. Y. Chan, Andrew K. Lampinen, Pierre H. Richemond, Felix Hill:
Zipfian environments for Reinforcement Learning. CoRR abs/2203.08222 (2022) - [i38]Andrew K. Lampinen, Ishita Dasgupta, Stephanie C. Y. Chan, Kory W. Mathewson, Michael Henry Tessler, Antonia Creswell, James L. McClelland, Jane X. Wang, Felix Hill:
Can language models learn from explanations in context? CoRR abs/2204.02329 (2022) - [i37]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 abs/2204.05080 (2022) - [i36]Stephanie C. Y. Chan, Adam Santoro, Andrew K. Lampinen, Jane X. Wang, Aaditya K. Singh, Pierre H. Richemond, Jay McClelland, Felix Hill:
Data Distributional Properties Drive Emergent In-Context Learning in Transformers. CoRR abs/2205.05055 (2022) - [i35]Aaditya K. Singh, David Ding, Andrew M. Saxe, Felix Hill, Andrew K. Lampinen:
Know your audience: specializing grounded language models with the game of Dixit. CoRR abs/2206.08349 (2022) - [i34]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 abs/2207.07051 (2022) - [i33]Steven T. Piantadosi, Felix Hill:
Meaning without reference in large language models. CoRR abs/2208.02957 (2022) - [i32]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 abs/2210.05675 (2022) - 2021
- [i31]Andrew Kyle Lampinen, Stephanie C. Y. Chan, Andrea Banino, Felix Hill:
Towards mental time travel: a hierarchical memory for reinforcement learning agents. CoRR abs/2105.14039 (2021) - [i30]Maria Tsimpoukelli, Jacob Menick, Serkan Cabi, S. M. Ali Eslami, Oriol Vinyals, Felix Hill:
Multimodal Few-Shot Learning with Frozen Language Models. CoRR abs/2106.13884 (2021) - [i29]Thomas Scialom, Felix Hill:
BEAMetrics: A Benchmark for Language Generation Evaluation Evaluation. CoRR abs/2110.09147 (2021) - [i28]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 abs/2112.03753 (2021) - [i27]Josh Abramson, Arun Ahuja, Arthur Brussee, Federico Carnevale, Mary Cassin, Felix Fischer, Petko Georgiev, Alex Goldin, Tim Harley, Felix Hill, Peter Conway 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 abs/2112.03763 (2021) - [i26]Wilka Carvalho, Andrew K. Lampinen, Kyriacos Nikiforou, Felix Hill, Murray Shanahan:
Feature-Attending Recurrent Modules for Generalization in Reinforcement Learning. CoRR abs/2112.08369 (2021) - 2020
- [i25]Felix Hill, Sona Mokrá, Nathaniel Wong, Tim Harley:
Human Instruction-Following with Deep Reinforcement Learning via Transfer-Learning from Text. CoRR abs/2005.09382 (2020) - [i24]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 abs/2006.01016 (2020) - [i23]Felix Hill, Olivier Tieleman, Tamara von Glehn, Nathaniel Wong, Hamza Merzic, Stephen Clark:
Grounded Language Learning Fast and Slow. CoRR abs/2009.01719 (2020) - [i22]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 abs/2012.05672 (2020) - [i21]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 abs/2012.08508 (2020) - 2019
- [i20]Felix Hill, Adam Santoro, David G. T. Barrett, Ari S. Morcos, Timothy P. Lillicrap:
Learning to Make Analogies by Contrasting Abstract Relational Structure. CoRR abs/1902.00120 (2019) - [i19]David Saxton, Edward Grefenstette, Felix Hill, Pushmeet Kohli:
Analysing Mathematical Reasoning Abilities of Neural Models. CoRR abs/1904.01557 (2019) - [i18]Adam Santoro, Felix Hill, David G. T. Barrett, David Raposo, Matthew M. 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 abs/1904.10396 (2019) - [i17]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 abs/1905.00537 (2019) - [i16]Mostafa Abdou, Artur Kulmizev, Felix Hill, Daniel M. Low, Anders Søgaard:
Higher-order Comparisons of Sentence Encoder Representations. CoRR abs/1909.00303 (2019) - [i15]Felix Hill, Andrew K. Lampinen, Rosalia Schneider, Stephen Clark, Matthew M. Botvinick, James L. McClelland, Adam Santoro:
Emergent Systematic Generalization in a Situated Agent. CoRR abs/1910.00571 (2019) - [i14]James L. McClelland, Felix Hill, Maja Rudolph, Jason Baldridge, Hinrich Schütze:
Extending Machine Language Models toward Human-Level Language Understanding. CoRR abs/1912.05877 (2019) - 2018
- [i13]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 abs/1804.07461 (2018) - [i12]Dzmitry Bahdanau, Felix Hill, Jan Leike, Edward Hughes, Pushmeet Kohli, Edward Grefenstette:
Learning to Follow Language Instructions with Adversarial Reward Induction. CoRR abs/1806.01946 (2018) - [i11]David G. T. Barrett, Felix Hill, Adam Santoro, Ari S. Morcos, Timothy P. Lillicrap:
Measuring abstract reasoning in neural networks. CoRR abs/1807.04225 (2018) - [i10]Andrew Trask, Felix Hill, Scott E. Reed, Jack W. Rae, Chris Dyer, Phil Blunsom:
Neural Arithmetic Logic Units. CoRR abs/1808.00508 (2018) - [i9]Aishwarya Agrawal, Mateusz Malinowski, Felix Hill, S. M. Ali Eslami, Oriol Vinyals, Tejas Kulkarni:
Generating Diverse Programs with Instruction Conditioned Reinforced Adversarial Learning. CoRR abs/1812.00898 (2018) - 2017
- [i8]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 abs/1706.06551 (2017) - [i7]Felix Hill, Karl Moritz Hermann, Phil Blunsom, Stephen Clark:
Understanding Grounded Language Learning Agents. CoRR abs/1710.09867 (2017) - 2016
- [i6]Felix Hill, Kyunghyun Cho, Anna Korhonen:
Learning Distributed Representations of Sentences from Unlabelled Data. CoRR abs/1602.03483 (2016) - [i5]Daniela Gerz, Ivan Vulic, Felix Hill, Roi Reichart, Anna Korhonen:
SimVerb-3500: A Large-Scale Evaluation Set of Verb Similarity. CoRR abs/1608.00869 (2016) - [i4]Ivan Vulic, Daniela Gerz, Douwe Kiela, Felix Hill, Anna Korhonen:
HyperLex: A Large-Scale Evaluation of Graded Lexical Entailment. CoRR abs/1608.02117 (2016) - 2015
- [i3]Felix Hill, Kyunghyun Cho, Anna Korhonen, Yoshua Bengio:
Learning to Understand Phrases by Embedding the Dictionary. CoRR abs/1504.00548 (2015) - 2014
- [i2]Felix Hill, Roi Reichart, Anna Korhonen:
SimLex-999: Evaluating Semantic Models with (Genuine) Similarity Estimation. CoRR abs/1408.3456 (2014) - [i1]Felix Hill, KyungHyun Cho, Sébastien Jean, Coline Devin, Yoshua Bengio:
Not All Neural Embeddings are Born Equal. CoRR abs/1410.0718 (2014)
Coauthor Index
Andrew K. Lampinen
aka: Andrew Kyle Lampinen
aka: Andrew Kyle Lampinen
James L. McClelland
aka: Jay McClelland
aka: Jay McClelland
Pierre H. Richemond
aka: Pierre Harvey Richemond
aka: Pierre Harvey Richemond
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