Felix Hill - RankMe

100 papers A* 22A 1B 3Journal 56Unranked 16

Year	Rank	Type	Title / Venue / Authors
2025	A*	`conf`	Strategy Coopetition Explains the Emergence and Transience of In-Context Learning. ICML Aaditya K. Singh, Ted Moskovitz, Sara Dragutinovic, Felix Hill, Stephanie C. Y. Chan, Andrew M. Saxe
2025	J	`jnl`	Strategy Coopetition Explains the Emergence and Transience of In-Context Learning. CoRR Aaditya K. Singh, Ted Moskovitz, Sara Dragutinovic, Felix Hill, Stephanie C. Y. Chan, Andrew M. Saxe
2024	A*	`conf`	SODA: Bottleneck Diffusion Models for Representation Learning. CVPR Drew A. Hudson, Daniel Zoran, Mateusz Malinowski, Andrew K. Lampinen, Andrew Jaegle, James L. McClelland, Loic Matthey, Felix Hill, Alexander Lerchner
2024	J	`jnl`	Scaling Instructable Agents Across Many Simulated Worlds. CoRR 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
2024	A*	`conf`	What needs to go right for an induction head? A mechanistic study of in-context learning circuits and their formation. ICML Aaditya K. Singh, Ted Moskovitz, Felix Hill, Stephanie C. Y. Chan, Andrew M. Saxe
2024	J	`jnl`	What needs to go right for an induction head? A mechanistic study of in-context learning circuits and their formation. CoRR Aaditya K. Singh, Ted Moskovitz, Felix Hill, Stephanie C. Y. Chan, Andrew M. Saxe
2024	J	`jnl`	Why transformers are obviously good models of language. CoRR Felix Hill
2023	J	`jnl`	Collaborating with language models for embodied reasoning. CoRR Ishita Dasgupta, Christine Kaeser-Chen, Kenneth Marino, Arun Ahuja, Sheila Babayan, Felix Hill, Rob Fergus
2023	J	`jnl`	Feature-Attending Recurrent Modules for Generalization in Reinforcement Learning. Trans. Mach. Learn. Res. Wilka Carvalho, Andrew Kyle Lampinen, Kyriacos Nikiforou, Felix Hill, Murray Shanahan
2023	A	`conf`	Know your audience: specializing grounded language models with listener subtraction. EACL Aaditya K. Singh, David Ding, Andrew M. Saxe, Felix Hill, Andrew K. Lampinen
2023	J	`jnl`	SODA: Bottleneck Diffusion Models for Representation Learning. CoRR Drew A. Hudson, Daniel Zoran, Mateusz Malinowski, Andrew K. Lampinen, Andrew Jaegle, James L. McClelland, Loic Matthey, Felix Hill, Alexander Lerchner
2023	A*	`conf`	SemPPL: Predicting Pseudo-Labels for Better Contrastive Representations. ICLR Matko Bosnjak, Pierre Harvey Richemond, Nenad Tomasev, Florian Strub, Jacob C. Walker, Felix Hill, Lars Holger Buesing, Razvan Pascanu, Charles Blundell, Jovana Mitrovic
2023	J	`jnl`	SemPPL: Predicting pseudo-labels for better contrastive representations. CoRR Matko Bosnjak, Pierre H. Richemond, Nenad Tomasev, Florian Strub, Jacob C. Walker, Felix Hill, Lars Holger Buesing, Razvan Pascanu, Charles Blundell, Jovana Mitrovic
2023	A*	`conf`	The Edge of Orthogonality: A Simple View of What Makes BYOL Tick. ICML Pierre Harvey Richemond, Allison C. Tam, Yunhao Tang, Florian Strub, Bilal Piot, Felix Hill
2023	J	`jnl`	The Edge of Orthogonality: A Simple View of What Makes BYOL Tick. CoRR Pierre H. Richemond, Allison C. Tam, Yunhao Tang, Florian Strub, Bilal Piot, Felix Hill
2023	A*	`conf`	The Transient Nature of Emergent In-Context Learning in Transformers. NeurIPS Aaditya K. Singh, Stephanie C. Y. Chan, Ted Moskovitz, Erin Grant, Andrew M. Saxe, Felix Hill
2023	J	`jnl`	The Transient Nature of Emergent In-Context Learning in Transformers. CoRR Aaditya K. Singh, Stephanie C. Y. Chan, Ted Moskovitz, Erin Grant, Andrew M. Saxe, Felix Hill
2023	—	`conf`	Vision-Language Models as Success Detectors. CoLLAs Yuqing Du, Ksenia Konyushkova, Misha Denil, Akhil Raju, Jessica Landon, Felix Hill, Nando de Freitas, Serkan Cabi
2023	J	`jnl`	Vision-Language Models as Success Detectors. CoRR Yuqing Du, Ksenia Konyushkova, Misha Denil, Akhil Raju, Jessica Landon, Felix Hill, Nando de Freitas, Serkan Cabi
2022	—	`conf`	Can language models learn from explanations in context? EMNLP (Findings) Andrew K. Lampinen, Ishita Dasgupta, Stephanie C. Y. Chan, Kory W. Mathewson, Michael Henry Tessler, Antonia Creswell, James L. McClelland, Jane Wang, Felix Hill
2022	J	`jnl`	Can language models learn from explanations in context? CoRR 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
2022	A*	`conf`	Data Distributional Properties Drive Emergent In-Context Learning in Transformers. NeurIPS Stephanie C. Y. Chan, Adam Santoro, Andrew K. Lampinen, Jane X. Wang, Aaditya K. Singh, Pierre H. Richemond, James L. McClelland, Felix Hill
2022	J	`jnl`	Data Distributional Properties Drive Emergent In-Context Learning in Transformers. CoRR Stephanie C. Y. Chan, Adam Santoro, Andrew K. Lampinen, Jane X. Wang, Aaditya K. Singh, Pierre H. Richemond, Jay McClelland, Felix Hill
2022	J	`jnl`	Know your audience: specializing grounded language models with the game of Dixit. CoRR Aaditya K. Singh, David Ding, Andrew M. Saxe, Felix Hill, Andrew K. Lampinen
2022	J	`jnl`	Language models show human-like content effects on reasoning. CoRR Ishita Dasgupta, Andrew K. Lampinen, Stephanie C. Y. Chan, Antonia Creswell, Dharshan Kumaran, James L. McClelland, Felix Hill
2022	J	`jnl`	Meaning without reference in large language models. CoRR Steven T. Piantadosi, Felix Hill
2022	A*	`conf`	Semantic Exploration from Language Abstractions and Pretrained Representations. NeurIPS Allison C. Tam, Neil C. Rabinowitz, Andrew K. Lampinen, Nicholas A. Roy, Stephanie C. Y. Chan, DJ Strouse, Jane Wang, Andrea Banino, Felix Hill
2022	J	`jnl`	Semantic Exploration from Language Abstractions and Pretrained Representations. CoRR 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
2022	A*	`conf`	Tell me why! Explanations support learning relational and causal structure. ICML 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
2022	J	`jnl`	Transformers generalize differently from information stored in context vs in weights. CoRR Stephanie C. Y. Chan, Ishita Dasgupta, Junkyung Kim, Dharshan Kumaran, Andrew K. Lampinen, Felix Hill
2022	—	`conf`	Zipfian Environments for Reinforcement Learning. CoLLAs Stephanie C. Y. Chan, Andrew Kyle Lampinen, Pierre Harvey Richemond, Felix Hill
2022	J	`jnl`	Zipfian environments for Reinforcement Learning. CoRR Stephanie C. Y. Chan, Andrew K. Lampinen, Pierre H. Richemond, Felix Hill
2021	A*	`conf`	Attention over Learned Object Embeddings Enables Complex Visual Reasoning. NeurIPS David Ding, Felix Hill, Adam Santoro, Malcolm Reynolds, Matt M. Botvinick
2021	J	`jnl`	BEAMetrics: A Benchmark for Language Generation Evaluation Evaluation. CoRR Thomas Scialom, Felix Hill
2021	J	`jnl`	Creating Multimodal Interactive Agents with Imitation and Self-Supervised Learning. CoRR 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
2021	J	`jnl`	Feature-Attending Recurrent Modules for Generalization in Reinforcement Learning. CoRR Wilka Carvalho, Andrew K. Lampinen, Kyriacos Nikiforou, Felix Hill, Murray Shanahan
2021	A*	`conf`	Grounded Language Learning Fast and Slow. ICLR Felix Hill, Olivier Tieleman, Tamara von Glehn, Nathaniel Wong, Hamza Merzic, Stephen Clark
2021	A*	`conf`	Multimodal Few-Shot Learning with Frozen Language Models. NeurIPS Maria Tsimpoukelli, Jacob Menick, Serkan Cabi, S. M. Ali Eslami, Oriol Vinyals, Felix Hill
2021	J	`jnl`	Multimodal Few-Shot Learning with Frozen Language Models. CoRR Maria Tsimpoukelli, Jacob Menick, Serkan Cabi, S. M. Ali Eslami, Oriol Vinyals, Felix Hill
2021	J	`jnl`	Tell me why! - Explanations support learning of relational and causal structure. CoRR 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
2021	A*	`conf`	Towards mental time travel: a hierarchical memory for reinforcement learning agents. NeurIPS Andrew K. Lampinen, Stephanie C. Y. Chan, Andrea Banino, Felix Hill
2021	J	`jnl`	Towards mental time travel: a hierarchical memory for reinforcement learning agents. CoRR Andrew Kyle Lampinen, Stephanie C. Y. Chan, Andrea Banino, Felix Hill
2020	B	`conf`	Cognitive consequences of structured education in a connectionist model of analogical reasoning. CogSci David Barrett, Felix Hill, Adam Santoro, Jay McClelland
2020	A*	`conf`	Environmental drivers of systematicity and generalization in a situated agent. ICLR Felix Hill, Andrew K. Lampinen, Rosalia Schneider, Stephen Clark, Matthew M. Botvinick, James L. McClelland, Adam Santoro
2020	J	`jnl`	Grounded Language Learning Fast and Slow. CoRR Felix Hill, Olivier Tieleman, Tamara von Glehn, Nathaniel Wong, Hamza Merzic, Stephen Clark
2020	J	`jnl`	Human Instruction-Following with Deep Reinforcement Learning via Transfer-Learning from Text. CoRR Felix Hill, Sona Mokrá, Nathaniel Wong, Tim Harley
2020	J	`jnl`	Imitating Interactive Intelligence. CoRR 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
2020	J	`jnl`	Object-based attention for spatio-temporal reasoning: Outperforming neuro-symbolic models with flexible distributed architectures. CoRR David Ding, Felix Hill, Adam Santoro, Matt M. Botvinick
2020	A*	`conf`	Probing Emergent Semantics in Predictive Agents via Question Answering. ICML Abhishek Das, Federico Carnevale, Hamza Merzic, Laura Rimell, Rosalia Schneider, Josh Abramson, Alden Hung, Arun Ahuja, Stephen Clark, Greg Wayne, Felix Hill
2020	J	`jnl`	Probing Emergent Semantics in Predictive Agents via Question Answering. CoRR Abhishek Das, Federico Carnevale, Hamza Merzic, Laura Rimell, Rosalia Schneider, Josh Abramson, Alden Hung, Arun Ahuja, Stephen Clark, Gregory Wayne, Felix Hill
2020	B	`conf`	Simulating Early Word Learning in Situated Connectionist Agents. CogSci Felix Hill, Stephen Clark, Phil Blunsom, Karl Moritz Hermann
2019	—	`conf`	Analysing Mathematical Reasoning Abilities of Neural Models. ICLR (Poster) David Saxton, Edward Grefenstette, Felix Hill, Pushmeet Kohli
2019	J	`jnl`	Analysing Mathematical Reasoning Abilities of Neural Models. CoRR David Saxton, Edward Grefenstette, Felix Hill, Pushmeet Kohli
2019	J	`jnl`	Emergent Systematic Generalization in a Situated Agent. CoRR Felix Hill, Andrew K. Lampinen, Rosalia Schneider, Stephen Clark, Matthew M. Botvinick, James L. McClelland, Adam Santoro
2019	J	`jnl`	Extending Machine Language Models toward Human-Level Language Understanding. CoRR James L. McClelland, Felix Hill, Maja Rudolph, Jason Baldridge, Hinrich Schütze
2019	—	`conf`	GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language Understanding. ICLR (Poster) Alex Wang, Amanpreet Singh, Julian Michael, Felix Hill, Omer Levy, Samuel R. Bowman
2019	—	`conf`	Higher-order Comparisons of Sentence Encoder Representations. EMNLP/IJCNLP (1) Mostafa Abdou, Artur Kulmizev, Felix Hill, Daniel M. Low, Anders Søgaard
2019	J	`jnl`	Higher-order Comparisons of Sentence Encoder Representations. CoRR Mostafa Abdou, Artur Kulmizev, Felix Hill, Daniel M. Low, Anders Søgaard
2019	J	`jnl`	Is coding a relevant metaphor for building AI? A commentary on "Is coding a relevant metaphor for the brain?", by Romain Brette. CoRR Adam Santoro, Felix Hill, David G. T. Barrett, David Raposo, Matthew M. Botvinick, Timothy P. Lillicrap
2019	—	`conf`	Learning to Make Analogies by Contrasting Abstract Relational Structure. ICLR (Poster) Felix Hill, Adam Santoro, David G. T. Barrett, Ari S. Morcos, Timothy P. Lillicrap
2019	J	`jnl`	Learning to Make Analogies by Contrasting Abstract Relational Structure. CoRR Felix Hill, Adam Santoro, David G. T. Barrett, Ari S. Morcos, Timothy P. Lillicrap
2019	—	`conf`	Learning to Understand Goal Specifications by Modelling Reward. ICLR (Poster) Dzmitry Bahdanau, Felix Hill, Jan Leike, Edward Hughes, Seyed Arian Hosseini, Pushmeet Kohli, Edward Grefenstette
2019	A*	`conf`	SuperGLUE: A Stickier Benchmark for General-Purpose Language Understanding Systems. NeurIPS Alex Wang, Yada Pruksachatkun, Nikita Nangia, Amanpreet Singh, Julian Michael, Felix Hill, Omer Levy, Samuel R. Bowman
2019	J	`jnl`	SuperGLUE: A Stickier Benchmark for General-Purpose Language Understanding Systems. CoRR Alex Wang, Yada Pruksachatkun, Nikita Nangia, Amanpreet Singh, Julian Michael, Felix Hill, Omer Levy, Samuel R. Bowman
2018	—	`conf`	GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language Understanding. BlackboxNLP@EMNLP Alex Wang, Amanpreet Singh, Julian Michael, Felix Hill, Omer Levy, Samuel R. Bowman
2018	J	`jnl`	GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language Understanding. CoRR Alex Wang, Amanpreet Singh, Julian Michael, Felix Hill, Omer Levy, Samuel R. Bowman
2018	J	`jnl`	Generating Diverse Programs with Instruction Conditioned Reinforced Adversarial Learning. CoRR Aishwarya Agrawal, Mateusz Malinowski, Felix Hill, S. M. Ali Eslami, Oriol Vinyals, Tejas Kulkarni
2018	—	`conf`	Jointly Learning "What" and "How" from Instructions and Goal-States. ICLR (Workshop) Dzmitry Bahdanau, Felix Hill, Jan Leike, Edward Hughes, Pushmeet Kohli, Edward Grefenstette
2018	J	`jnl`	Learning to Follow Language Instructions with Adversarial Reward Induction. CoRR Dzmitry Bahdanau, Felix Hill, Jan Leike, Edward Hughes, Pushmeet Kohli, Edward Grefenstette
2018	A*	`conf`	Measuring abstract reasoning in neural networks. ICML Adam Santoro, Felix Hill, David G. T. Barrett, Ari S. Morcos, Timothy P. Lillicrap
2018	J	`jnl`	Measuring abstract reasoning in neural networks. CoRR David G. T. Barrett, Felix Hill, Adam Santoro, Ari S. Morcos, Timothy P. Lillicrap
2018	A*	`conf`	Neural Arithmetic Logic Units. NeurIPS Andrew Trask, Felix Hill, Scott E. Reed, Jack W. Rae, Chris Dyer, Phil Blunsom
2018	J	`jnl`	Neural Arithmetic Logic Units. CoRR Andrew Trask, Felix Hill, Scott E. Reed, Jack W. Rae, Chris Dyer, Phil Blunsom
2018	—	`ed.`	Proceedings of The Third Workshop on Representation Learning for NLP, Rep4NLP@ACL 2018, Melbourne, Australia, July 20, 2018 Rep4NLP@ACL Isabelle Augenstein, Kris Cao, He He, Felix Hill, Spandana Gella, Jamie Kiros, Hongyuan Mei, Dipendra Misra
2017	J	`jnl`	Grounded Language Learning in a Simulated 3D World. CoRR 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
2017	J	`jnl`	HyperLex: A Large-Scale Evaluation of Graded Lexical Entailment. Comput. Linguistics Ivan Vulic, Daniela Gerz, Douwe Kiela, Felix Hill, Anna Korhonen
2017	—	`ed.`	Proceedings of the 2nd Workshop on Evaluating Vector Space Representations for NLP, RepEval@EMNLP 2017, Copenhagen, Denmark, September 8, 2017 RepEval@EMNLP Samuel R. Bowman, Yoav Goldberg, Felix Hill, Angeliki Lazaridou, Omer Levy, Roi Reichart, Anders Søgaard
2017	J	`jnl`	The representational geometry of word meanings acquired by neural machine translation models. Mach. Transl. Felix Hill, Kyunghyun Cho, Sébastien Jean, Yoshua Bengio
2017	J	`jnl`	Understanding Grounded Language Learning Agents. CoRR Felix Hill, Karl Moritz Hermann, Phil Blunsom, Stephen Clark
2016	J	`jnl`	HyperLex: A Large-Scale Evaluation of Graded Lexical Entailment. CoRR Ivan Vulic, Daniela Gerz, Douwe Kiela, Felix Hill, Anna Korhonen
2016	—	`conf`	Learning Distributed Representations of Sentences from Unlabelled Data. HLT-NAACL Felix Hill, Kyunghyun Cho, Anna Korhonen
2016	J	`jnl`	Learning Distributed Representations of Sentences from Unlabelled Data. CoRR Felix Hill, Kyunghyun Cho, Anna Korhonen
2016	J	`jnl`	Learning to Understand Phrases by Embedding the Dictionary. Trans. Assoc. Comput. Linguistics Felix Hill, Kyunghyun Cho, Anna Korhonen, Yoshua Bengio
2016	A*	`conf`	SimVerb-3500: A Large-Scale Evaluation Set of Verb Similarity. EMNLP Daniela Gerz, Ivan Vulic, Felix Hill, Roi Reichart, Anna Korhonen
2016	J	`jnl`	SimVerb-3500: A Large-Scale Evaluation Set of Verb Similarity. CoRR Daniela Gerz, Ivan Vulic, Felix Hill, Roi Reichart, Anna Korhonen
2016	A*	`conf`	The Goldilocks Principle: Reading Children's Books with Explicit Memory Representations. ICLR Felix Hill, Antoine Bordes, Sumit Chopra, Jason Weston
2015	—	`conf`	Embedding Word Similarity with Neural Machine Translation. ICLR (Workshop) Felix Hill, Kyunghyun Cho, Sébastien Jean, Coline Devin, Yoshua Bengio
2015	J	`jnl`	Learning to Understand Phrases by Embedding the Dictionary. CoRR Felix Hill, Kyunghyun Cho, Anna Korhonen, Yoshua Bengio
2015	J	`jnl`	SimLex-999: Evaluating Semantic Models With (Genuine) Similarity Estimation. Comput. Linguistics Felix Hill, Roi Reichart, Anna Korhonen
2015	A*	`conf`	Specializing Word Embeddings for Similarity or Relatedness. EMNLP Douwe Kiela, Felix Hill, Stephen Clark
2014	J	`jnl`	A Quantitative Empirical Analysis of the Abstract/Concrete Distinction. Cogn. Sci. Felix Hill, Anna Korhonen, Christian Bentz
2014	—	`conf`	Concreteness and Subjectivity as Dimensions of Lexical Meaning. ACL (2) Felix Hill, Anna Korhonen
2014	—	`conf`	Improving Multi-Modal Representations Using Image Dispersion: Why Less is Sometimes More. ACL (2) Douwe Kiela, Felix Hill, Anna Korhonen, Stephen Clark
2014	A*	`conf`	Learning Abstract Concept Embeddings from Multi-Modal Data: Since You Probably Can't See What I Mean. EMNLP Felix Hill, Anna Korhonen
2014	J	`jnl`	Multi-Modal Models for Concrete and Abstract Concept Meaning. Trans. Assoc. Comput. Linguistics Felix Hill, Roi Reichart, Anna Korhonen
2014	J	`jnl`	Not All Neural Embeddings are Born Equal. CoRR Felix Hill, Kyunghyun Cho, Sébastien Jean, Coline Devin, Yoshua Bengio
2014	J	`jnl`	SimLex-999: Evaluating Semantic Models with (Genuine) Similarity Estimation. CoRR Felix Hill, Roi Reichart, Anna Korhonen
2013	—	`conf`	Concreteness and Corpora: A Theoretical and Practical Study. CMCL Felix Hill, Douwe Kiela, Anna Korhonen
2013	B	`conf`	Large-Scale Empricial Analyses of the Abstract/Concrete Distinction. CogSci Felix Hill, Anna Korhonen, Christian Bentz
2012	—	`conf`	Beauty Before Age? Applying Subjectivity to Automatic English Adjective Ordering. HLT-NAACL Felix Hill