Joel Veness
23 papers · 2009–2025 · 6 conferences · across top CS/AI conferences
Achievements
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π Conference Polyglot (6) π Interdisciplinary Bridge π§ Keyword Pioneer π£ Hot Topic Early Bird π Academic Marathon (16)
π§
Keyword Pioneer
π£
Hot Topic Early Bird
π
Cross-Pollinator
(13)
π
Triple Crown
π§¬
Topic Evolution
π
Grand Slam
π
Keyword Champion
π
Century Club
(23)
π
Trend Setter
π
Conference Pioneer
ποΈ
Keyword Collector
(91)
π₯
Unstoppable
(8)
Conferences
NIPS (10)
ICML (5)
IJCAI (4)
ICLR (2)
AAAI (1)
ACL (1)
Top co-authors
Research topics
Keywords
reinforcement learning
(4)
online learning
(3)
gated linear network
(3)
game ai
(2)
probabilistic sequence prediction
(2)
monte-carlo tree search
(2)
contextual bandit
(2)
catastrophic forgetting
(2)
bayesian inference
(1)
knowledge distillation
(1)
transfer learning
(1)
supervised learning
(1)
evaluation methodology
(1)
deep learning
(1)
continual learning
(1)
attention mechanism
(1)
belief state
(1)
function approximation
(1)
game playing
(1)
suffix trees
(1)
Papers
Compression via Pre-trained Transformers: A Study on Byte-Level Multimodal Data
ICML 2025
Language Modeling Is Compression
ICLR 2024
Amortized Planning with Large-Scale Transformers: A Case Study on Chess
NIPS 2024
Learning Universal Predictors
ICML 2024
Neural Networks and the Chomsky Hierarchy
ICLR 2023
Memory-Based Meta-Learning on Non-Stationary Distributions
ICML 2023
Self-Predictive Universal AI
NIPS 2023
Randomized Positional Encodings Boost Length Generalization of Transformers
ACL 2023
Gated Linear Networks
AAAI 2021
A Combinatorial Perspective on Transfer Learning
NIPS 2020
Gaussian Gated Linear Networks
NIPS 2020
Online Learning in Contextual Bandits using Gated Linear Networks
NIPS 2020
Revisiting the Arcade Learning Environment: Evaluation Protocols and Open Problems for General Agents (Extended Abstract)
IJCAI 2018
The Forget-me-not Process
NIPS 2016
The Arcade Learning Environment: An Evaluation Platform for General Agents (Extended Abstract)
IJCAI 2015
Online Learning of k-CNF Boolean Functions
IJCAI 2015
Skip Context Tree Switching
ICML 2014
Bayesian Learning of Recursively Factored Environments
ICML 2013
Monte Carlo *-Minimax Search
IJCAI 2013
Sketch-Based Linear Value Function Approximation
NIPS 2012
Variance Reduction in Monte-Carlo Tree Search
NIPS 2011
Monte-Carlo Planning in Large POMDPs
NIPS 2010
Bootstrapping from Game Tree Search
NIPS 2009