Joel Veness
23 papers · 2009–2025 · 6 venues · across top CS/AI venues
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Achievements
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🗺️ Taxonomy Completionist (41) 🌍 Conference Polyglot · Silver 🏃 Academic Marathon · Full 🌉 Interdisciplinary Bridge · Silver 🐣 Hot Topic Early Bird
🧬
Topic Evolution
🏆
Grand Slam
🏆
Keyword Champion
🧭
Keyword Pioneer
👑
Triple Crown
🔥
Unstoppable · Bronze
🚀
Conference Pioneer
🗃️
Keyword Collector
(114)
📈
Trend Setter
💎
Century Club · Bronze
Top co-authors
Research topics
Machine Learning
(15)
Artificial Intelligence
(12)
Deep Learning
(9)
Core AI
(9)
Optimization & Theory · Machine Learning
(9)
Reinforcement Learning
(8)
Learning Types
(7)
Applications
(6)
Architectures
(5)
Core Methods
(5)
Methods
(5)
Mathematics & Optimization
(3)
Learning Paradigms
(3)
Optimization
(2)
Optimization & Theory · Deep Learning
(2)
Keywords
reinforcement learning
(4)
gated linear network
(3)
online learning
(3)
game ai
(2)
catastrophic forgetting
(2)
probabilistic sequence prediction
(2)
neural network
(2)
monte carlo tree search
(2)
contextual bandit
(2)
temporal difference learning
(1)
function approximation
(1)
density estimation
(1)
self-supervised learning
(1)
attention mechanism
(1)
representation learning
(1)
game artificial intelligence
(1)
transformer
(1)
bayesian inference
(1)
continual learning
(1)
supervised learning
(1)
Papers
Compression via Pre-trained Transformers: A Study on Byte-Level Multimodal Data
ICML 2025
Amortized Planning with Large-Scale Transformers: A Case Study on Chess
NeurIPS 2024
Language Modeling Is Compression
ICLR 2024
Learning Universal Predictors
ICML 2024
Memory-Based Meta-Learning on Non-Stationary Distributions
ICML 2023
Neural Networks and the Chomsky Hierarchy
ICLR 2023
Randomized Positional Encodings Boost Length Generalization of Transformers
ACL 2023
Self-Predictive Universal AI
NeurIPS 2023
Gated Linear Networks
AAAI 2021
A Combinatorial Perspective on Transfer Learning
NeurIPS 2020
Gaussian Gated Linear Networks
NeurIPS 2020
Online Learning in Contextual Bandits using Gated Linear Networks
NeurIPS 2020
Revisiting the Arcade Learning Environment: Evaluation Protocols and Open Problems for General Agents (Extended Abstract)
IJCAI 2018
The Forget-me-not Process
NeurIPS 2016
Online Learning of k-CNF Boolean Functions
IJCAI 2015
The Arcade Learning Environment: An Evaluation Platform for General Agents (Extended Abstract)
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
NeurIPS 2012
Variance Reduction in Monte-Carlo Tree Search
NeurIPS 2011
Monte-Carlo Planning in Large POMDPs
NeurIPS 2010
Bootstrapping from Game Tree Search
NeurIPS 2009