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Charles Blundell

36 papers · 2011–2024 · 5 conferences · across top CS/AI conferences

Achievements

๐Ÿ—บ๏ธ Taxonomy Completionist (16) ๐Ÿ Cross-Pollinator (9) ๐Ÿƒ Academic Marathon (13) ๐ŸŒ Conference Polyglot (5) ๐Ÿฃ Hot Topic Early Bird ๐ŸŒˆ Renaissance Researcher (6) ๐ŸŒ‰ Interdisciplinary Bridge ๐Ÿงญ Keyword Pioneer ๐ŸŒŸ Keyword Trendsetter Combo (6) ๐Ÿงฌ Topic Evolution ๐ŸŒฑ Topic Pioneer ๐Ÿ‘‘ Triple Crown ๐Ÿ† Keyword Champion (4) ๐Ÿค Dynamic Duo (10) ๐Ÿš€ Conference Pioneer โšก Prolific Year (5) ๐Ÿ“ˆ Trend Setter ๐Ÿ—ƒ๏ธ Keyword Collector (54) ๐Ÿ”ฅ Unstoppable (14) ๐Ÿ’Ž Century Club (36)

Conferences

ICLR (12) ICML (11) NIPS (10) AISTATS (2) JMLR (1)

Top co-authors

Adriร  Puigdomรจnech Badia (10) Alexander Pritzel (7) Razvan Pascanu (6) Jovana Mitrovic (5) Pablo Sprechmann (5) Daan Wierstra (4) Demis Hassabis (4) Steven Kapturowski (4) Petar Veliฤkoviฤ‡ (4) Andrea Banino (4)

Keywords

deep reinforcement learning (7) reinforcement learning (5) neural network (5) value function (4) episodic memory (4) bayesian nonparametrics (3) representation learning (3) variational inference (3) bayesian nonparametric model (2) bayesian nonparametric (2) graph neural network (2) hawkes process (2) atari game (2) bayesian neural network (2) algorithm execution (2) bayesian learning (1) offline reinforcement learning (1) point processes (1) causal inference (1) few-shot learning (1)

Papers

Unlocking the Power of Representations in Long-term Novelty-based Exploration ICLR 2024
Improving fine-grained understanding in image-text pre-training ICML 2024
Human-level Atari 200x faster ICLR 2023
Neural Algorithmic Reasoning with Causal Regularisation ICML 2023
SemPPL: Predicting Pseudo-Labels for Better Contrastive Representations ICLR 2023
The CLRS Algorithmic Reasoning Benchmark ICML 2022
Coordination Among Neural Modules Through a Shared Global Workspace ICLR 2022
CoBERL: Contrastive BERT for Reinforcement Learning ICLR 2022
Retrieval-Augmented Reinforcement Learning ICML 2022
Emphatic Algorithms for Deep Reinforcement Learning ICML 2021
Neural Production Systems NIPS 2021
Factorizing Declarative and Procedural Knowledge in Structured, Dynamical Environments ICLR 2021
Representation Learning via Invariant Causal Mechanisms ICLR 2021
Neural Execution of Graph Algorithms ICLR 2020
Pointer Graph Networks NIPS 2020
Agent57: Outperforming the Atari Human Benchmark ICML 2020
Never Give Up: Learning Directed Exploration Strategies ICLR 2020
MEMO: A Deep Network for Flexible Combination of Episodic Memories ICLR 2020
Generalization of Reinforcement Learners with Working and Episodic Memory NIPS 2019
Noisy Networks For Exploration ICLR 2018
Been There, Done That: Meta-Learning with Episodic Recall ICML 2018
Fast deep reinforcement learning using online adjustments from the past NIPS 2018
Memory-based Parameter Adaptation ICLR 2018
Distributed Bayesian Learning with Stochastic Natural Gradient Expectation Propagation and the Posterior Server JMLR 2017
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles NIPS 2017
DARLA: Improving Zero-Shot Transfer in Reinforcement Learning ICML 2017
Neural Episodic Control ICML 2017
Matching Networks for One Shot Learning NIPS 2016
Deep Exploration via Bootstrapped DQN NIPS 2016
The Bayesian Echo Chamber: Modeling Social Influence via Linguistic Accommodation AISTATS 2015
Weight Uncertainty in Neural Network ICML 2015
Deep AutoRegressive Networks ICML 2014
Bayesian Hierarchical Community Discovery NIPS 2013
Modelling Reciprocating Relationships with Hawkes Processes NIPS 2012
Mixed Cumulative Distribution Networks AISTATS 2011
Modelling Genetic Variations using Fragmentation-Coagulation Processes NIPS 2011