David Budden
14 papers · 2017–2022 · 6 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
Jump to papers ↓+9 more ↓ Show less ↑
πΊοΈ Taxonomy Completionist (36) π Conference Polyglot Β· Silver π Academic Marathon Β· Sprint π Interdisciplinary Bridge Β· Bronze π£ Hot Topic Early Bird
π
Grand Slam
π₯
Mega-Team Β· Squad
π
Keyword Champion
(2)
π
Conference Pioneer
π₯
Unstoppable Β· Bronze
β‘
Prolific Year Β· Productive
π
Century Club Β· Bronze
π
Trend Setter
ποΈ
Keyword Collector
(64)
Top co-authors
Research topics
Machine Learning
(13)
Artificial Intelligence
(8)
Learning Types
(8)
Optimization & Theory
(7)
Deep Learning
(4)
Reinforcement Learning
(4)
Applications
(4)
Core AI
(4)
Learning Paradigms
(4)
Application Areas
(3)
Core Methods
(3)
Architectures
(2)
Methods
(2)
Mathematics & Optimization
(1)
Natural Language Processing
(1)
Keywords
online learning
(3)
gated linear network
(3)
neural network
(2)
deep reinforcement learning
(2)
modular learning
(2)
contextual bandit
(2)
catastrophic forgetting
(2)
prioritized experience replay
(2)
few-shot learning
(2)
deep learning
(1)
distributed learning
(1)
self-supervised learning
(1)
offline reinforcement learning
(1)
distributional reinforcement learning
(1)
continual learning
(1)
density estimation
(1)
batch reinforcement learning
(1)
transfer learning
(1)
reward function
(1)
continuous control
(1)
Papers
The CLRS Algorithmic Reasoning Benchmark
ICML 2022
Unified Scaling Laws for Routed Language Models
ICML 2022
Gated Linear Networks
AAAI 2021
A Combinatorial Perspective on Transfer Learning
NeurIPS 2020
Gaussian Gated Linear Networks
NeurIPS 2020
Modular Meta-Learning with Shrinkage
NeurIPS 2020
Online Learning in Contextual Bandits using Gated Linear Networks
NeurIPS 2020
Scaling data-driven robotics with reward sketching and batch reinforcement learning
RSS 2020
Task-Relevant Adversarial Imitation Learning
CoRL 2020
Sample Efficient Adaptive Text-to-Speech
ICLR 2019
Distributed Distributional Deterministic Policy Gradients
ICLR 2018
Distributed Prioritized Experience Replay
ICLR 2018
Playing hard exploration games by watching YouTube
NeurIPS 2018
Deep Tensor Convolution on Multicores
ICML 2017