David Budden
14 papers · 2017–2022 · 6 conferences · across top CS/AI conferences
Achievements
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π Renaissance Researcher (6) π Interdisciplinary Bridge π Academic Marathon (5) π Conference Polyglot (6) πΊοΈ Taxonomy Completionist (33)
πΊοΈ
Taxonomy Completionist
(33)
π§
Keyword Pioneer
π£
Hot Topic Early Bird
π₯
Mega-Team
(26)
π
Grand Slam
π
Keyword Champion
(2)
π
Century Club
(14)
π₯
Unstoppable
(6)
π
Trend Setter
ποΈ
Keyword Collector
(54)
β‘
Prolific Year
(6)
π
Conference Pioneer
Conferences
NIPS (5)
ICLR (3)
ICML (3)
AAAI (1)
CORL (1)
RSS (1)
Top co-authors
Keywords
online learning
(3)
gated linear network
(3)
contextual bandit
(2)
modular learning
(2)
catastrophic forgetting
(2)
neural network
(2)
dynamic programming
(1)
offline reinforcement learning
(1)
continual learning
(1)
density estimation
(1)
self-supervised learning
(1)
deep learning
(1)
transfer learning
(1)
reward function
(1)
few-shot learning
(1)
robot manipulation
(1)
reward learning
(1)
robotic manipulation
(1)
offline learning
(1)
batch reinforcement learning
(1)
Papers
The CLRS Algorithmic Reasoning Benchmark
ICML 2022
Unified Scaling Laws for Routed Language Models
ICML 2022
Gated Linear Networks
AAAI 2021
Task-Relevant Adversarial Imitation Learning
CORL 2020
A Combinatorial Perspective on Transfer Learning
NIPS 2020
Modular Meta-Learning with Shrinkage
NIPS 2020
Scaling data-driven robotics with reward sketching and batch reinforcement learning
RSS 2020
Gaussian Gated Linear Networks
NIPS 2020
Online Learning in Contextual Bandits using Gated Linear Networks
NIPS 2020
Sample Efficient Adaptive Text-to-Speech
ICLR 2019
Distributed Distributional Deterministic Policy Gradients
ICLR 2018
Playing hard exploration games by watching YouTube
NIPS 2018
Distributed Prioritized Experience Replay
ICLR 2018
Deep Tensor Convolution on Multicores
ICML 2017