Felix Hill
34 papers · 2012–2025 · 8 venues · across top CS/AI venues
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Achievements
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πΊοΈ Taxonomy Completionist (50) π Academic Marathon Β· Half π Conference Polyglot Β· Silver π Interdisciplinary Bridge Β· Bronze π£ Hot Topic Early Bird
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Keyword Pioneer
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(10)
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Triple Crown
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The Questioner
(3)
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(120)
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Prolific Year Β· Productive
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Unstoppable Β· Bronze
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Century Club Β· Bronze
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Research topics
Machine Learning
(20)
Artificial Intelligence
(18)
Core AI
(16)
Core Methods
(11)
Learning Types Β· Machine Learning
(11)
Deep Learning
(10)
Natural Language Processing
(7)
Learning Types Β· Deep Learning
(7)
Learning Paradigms
(6)
Architectures
(5)
Optimization & Theory
(4)
Reinforcement Learning
(3)
Applications
(3)
Methods
(3)
Resources & Methods
(3)
Keywords
representation learning
(5)
self-supervised learning
(4)
in-context learning
(4)
contrastive learning
(3)
few-shot learning
(3)
reinforcement learning
(3)
transfer learning
(3)
neural network
(3)
subcircuits
(2)
multi-task benchmark
(2)
natural language understanding
(2)
vision-language model
(2)
causal reasoning
(1)
domain adaptation
(1)
image classification
(1)
deep reinforcement learning
(1)
state abstraction
(1)
natural language inference
(1)
neural network training
(1)
mathematical reasoning
(1)
Papers
Strategy Coopetition Explains the Emergence and Transience of In-Context Learning
ICML 2025
SODA: Bottleneck Diffusion Models for Representation Learning
CVPR 2024
What needs to go right for an induction head? A mechanistic study of in-context learning circuits and their formation
ICML 2024
Know your audience: specializing grounded language models with listener subtraction
EACL 2023
SemPPL: Predicting Pseudo-Labels for Better Contrastive Representations
ICLR 2023
The Edge of Orthogonality: A Simple View of What Makes BYOL Tick
ICML 2023
The Transient Nature of Emergent In-Context Learning in Transformers
NeurIPS 2023
Can language models learn from explanations in context?
EMNLP 2022
Data Distributional Properties Drive Emergent In-Context Learning in Transformers
NeurIPS 2022
Semantic Exploration from Language Abstractions and Pretrained Representations
NeurIPS 2022
Tell me why! Explanations support learning relational and causal structure
ICML 2022
Attention over Learned Object Embeddings Enables Complex Visual Reasoning
NeurIPS 2021
Grounded Language Learning Fast and Slow
ICLR 2021
Multimodal Few-Shot Learning with Frozen Language Models
NeurIPS 2021
Towards mental time travel: a hierarchical memory for reinforcement learning agents
NeurIPS 2021
Environmental drivers of systematicity and generalization in a situated agent
ICLR 2020
Probing Emergent Semantics in Predictive Agents via Question Answering
ICML 2020
Analysing Mathematical Reasoning Abilities of Neural Models
ICLR 2019
GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language Understanding
ICLR 2019
Higher-order Comparisons of Sentence Encoder Representations
EMNLP 2019
Learning to Make Analogies by Contrasting Abstract Relational Structure
ICLR 2019
Learning to Understand Goal Specifications by Modelling Reward
ICLR 2019
SuperGLUE: A Stickier Benchmark for General-Purpose Language Understanding Systems
NeurIPS 2019
GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language Understanding
EMNLP 2018
Measuring abstract reasoning in neural networks
ICML 2018
Neural Arithmetic Logic Units
NeurIPS 2018
Proceedings of the Third Workshop on Representation Learning for NLP
ACL 2018
Learning Distributed Representations of Sentences from Unlabelled Data
NAACL 2016
SimVerb-3500: A Large-Scale Evaluation Set of Verb Similarity
EMNLP 2016
Specializing Word Embeddings for Similarity or Relatedness
EMNLP 2015
Concreteness and Subjectivity as Dimensions of Lexical Meaning
ACL 2014
Improving Multi-Modal Representations Using Image Dispersion: Why Less is Sometimes More
ACL 2014
Learning Abstract Concept Embeddings from Multi-Modal Data: Since You Probably Canβt See What I Mean
EMNLP 2014
Beauty Before Age? Applying Subjectivity to Automatic English Adjective Ordering
NAACL 2012