Felix Hill

According to our database1, Felix Hill authored at least 43 papers between 2012 and 2019.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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Article 
PhD thesis 
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Links

On csauthors.net:

Bibliography

2019
Emergent Systematic Generalization in a Situated Agent.
CoRR, 2019

Higher-order Comparisons of Sentence Encoder Representations.
CoRR, 2019

SuperGLUE: A Stickier Benchmark for General-Purpose Language Understanding Systems.
CoRR, 2019

Is coding a relevant metaphor for building AI? A commentary on "Is coding a relevant metaphor for the brain?", by Romain Brette.
CoRR, 2019

Analysing Mathematical Reasoning Abilities of Neural Models.
CoRR, 2019

Learning to Make Analogies by Contrasting Abstract Relational Structure.
CoRR, 2019

GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language Understanding.
Proceedings of the 7th International Conference on Learning Representations, 2019

Analysing Mathematical Reasoning Abilities of Neural Models.
Proceedings of the 7th International Conference on Learning Representations, 2019

Learning to Make Analogies by Contrasting Abstract Relational Structure.
Proceedings of the 7th International Conference on Learning Representations, 2019

Learning to Understand Goal Specifications by Modelling Reward.
Proceedings of the 7th International Conference on Learning Representations, 2019

2018
Generating Diverse Programs with Instruction Conditioned Reinforced Adversarial Learning.
CoRR, 2018

Neural Arithmetic Logic Units.
CoRR, 2018

Measuring abstract reasoning in neural networks.
CoRR, 2018

Learning to Follow Language Instructions with Adversarial Reward Induction.
CoRR, 2018

GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language Understanding.
CoRR, 2018

Neural Arithmetic Logic Units.
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Measuring abstract reasoning in neural networks.
Proceedings of the 35th International Conference on Machine Learning, 2018

Jointly Learning "What" and "How" from Instructions and Goal-States.
Proceedings of the 6th International Conference on Learning Representations, 2018

2017
The representational geometry of word meanings acquired by neural machine translation models.
Machine Translation, 2017

Understanding Grounded Language Learning Agents.
CoRR, 2017

Grounded Language Learning in a Simulated 3D World.
CoRR, 2017

HyperLex: A Large-Scale Evaluation of Graded Lexical Entailment.
Computational Linguistics, 2017

2016
Learning to Understand Phrases by Embedding the Dictionary.
TACL, 2016

HyperLex: A Large-Scale Evaluation of Graded Lexical Entailment.
CoRR, 2016

Learning Distributed Representations of Sentences from Unlabelled Data.
CoRR, 2016

The Goldilocks Principle: Reading Children's Books with Explicit Memory Representations.
Proceedings of the 4th International Conference on Learning Representations, 2016

SimVerb-3500: A Large-Scale Evaluation Set of Verb Similarity.
CoRR, 2016

Learning Distributed Representations of Sentences from Unlabelled Data.
Proceedings of the NAACL HLT 2016, 2016

SimVerb-3500: A Large-Scale Evaluation Set of Verb Similarity.
Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing, 2016

2015
Learning to Understand Phrases by Embedding the Dictionary.
CoRR, 2015

Embedding Word Similarity with Neural Machine Translation.
Proceedings of the 3rd International Conference on Learning Representations, 2015

SimLex-999: Evaluating Semantic Models With (Genuine) Similarity Estimation.
Computational Linguistics, 2015

Specializing Word Embeddings for Similarity or Relatedness.
Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing, 2015

2014
Multi-Modal Models for Concrete and Abstract Concept Meaning.
TACL, 2014

SimLex-999: Evaluating Semantic Models with (Genuine) Similarity Estimation.
CoRR, 2014

Not All Neural Embeddings are Born Equal.
CoRR, 2014

A Quantitative Empirical Analysis of the Abstract/Concrete Distinction.
Cognitive Science, 2014

Learning Abstract Concept Embeddings from Multi-Modal Data: Since You Probably Can't See What I Mean.
Proceedings of the 2014 Conference on Empirical Methods in Natural Language Processing, 2014

Improving Multi-Modal Representations Using Image Dispersion: Why Less is Sometimes More.
Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics, 2014

Concreteness and Subjectivity as Dimensions of Lexical Meaning.
Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics, 2014

2013
Large-Scale Empricial Analyses of the Abstract/Concrete Distinction.
Proceedings of the 35th Annual Meeting of the Cognitive Science Society, 2013

Concreteness and Corpora: A Theoretical and Practical Study.
Proceedings of the Fourth Annual Workshop on Cognitive Modeling and Computational Linguistics, 2013

2012
Beauty Before Age? Applying Subjectivity to Automatic English Adjective Ordering.
Proceedings of the Human Language Technologies: Conference of the North American Chapter of the Association of Computational Linguistics, 2012


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