Felix Hill
35 papers · 2012–2025 · 9 conferences · across top CS/AI conferences
Achievements
Jump to papers ↓+10 more ↓ Show less ↑
π Interdisciplinary Bridge π Renaissance Researcher (6) π Academic Marathon (13) π Conference Polyglot (9) πΊοΈ Taxonomy Completionist (45)
πΊοΈ
Taxonomy Completionist
(45)
π§
Keyword Pioneer
π£
Hot Topic Early Bird
π
Triple Crown
π
Keyword Champion
π
Century Club
(35)
ποΈ
Keyword Collector
(89)
π₯
Unstoppable
(8)
β
The Questioner
(3)
β‘
Prolific Year
(7)
Conferences
NIPS (8)
ICLR (7)
EMNLP (6)
ICML (6)
ACL (3)
NAACL (2)
CVPR (1)
EACL (1)
IJCNLP (1)
Top co-authors
Keywords
self-supervised learning
(4)
few-shot learning
(3)
representation learning
(3)
in-context learning
(3)
representational similarity analysis
(2)
language encoder
(2)
neural network
(2)
sentence encoder
(2)
pretrained language encoder
(2)
reinforcement learning
(2)
transfer learning
(2)
state abstraction
(1)
relational learning
(1)
natural language inference
(1)
text classification
(1)
neural network training
(1)
causal reasoning
(1)
image captioning
(1)
domain adaptation
(1)
multimodal learning
(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
The Edge of Orthogonality: A Simple View of What Makes BYOL Tick
ICML 2023
Know your audience: specializing grounded language models with listener subtraction
EACL 2023
SemPPL: Predicting Pseudo-Labels for Better Contrastive Representations
ICLR 2023
The Transient Nature of Emergent In-Context Learning in Transformers
NIPS 2023
Can language models learn from explanations in context?
EMNLP 2022
Tell me why! Explanations support learning relational and causal structure
ICML 2022
Data Distributional Properties Drive Emergent In-Context Learning in Transformers
NIPS 2022
Semantic Exploration from Language Abstractions and Pretrained Representations
NIPS 2022
Grounded Language Learning Fast and Slow
ICLR 2021
Attention over Learned Object Embeddings Enables Complex Visual Reasoning
NIPS 2021
Towards mental time travel: a hierarchical memory for reinforcement learning agents
NIPS 2021
Multimodal Few-Shot Learning with Frozen Language Models
NIPS 2021
Probing Emergent Semantics in Predictive Agents via Question Answering
ICML 2020
Environmental drivers of systematicity and generalization in a situated agent
ICLR 2020
GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language Understanding
ICLR 2019
Analysing Mathematical Reasoning Abilities of Neural Models
ICLR 2019
Learning to Make Analogies by Contrasting Abstract Relational Structure
ICLR 2019
Learning to Understand Goal Specifications by Modelling Reward
ICLR 2019
Higher-order Comparisons of Sentence Encoder Representations
IJCNLP 2019
SuperGLUE: A Stickier Benchmark for General-Purpose Language Understanding Systems
NIPS 2019
Higher-order Comparisons of Sentence Encoder Representations
EMNLP 2019
Neural Arithmetic Logic Units
NIPS 2018
Proceedings of the Third Workshop on Representation Learning for NLP
ACL 2018
GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language Understanding
EMNLP 2018
Measuring abstract reasoning in neural networks
ICML 2018
SimVerb-3500: A Large-Scale Evaluation Set of Verb Similarity
EMNLP 2016
Learning Distributed Representations of Sentences from Unlabelled Data
NAACL 2016
Specializing Word Embeddings for Similarity or Relatedness
EMNLP 2015
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
Concreteness and Subjectivity as Dimensions of Lexical Meaning
ACL 2014
Beauty Before Age? Applying Subjectivity to Automatic English Adjective Ordering
NAACL 2012