Brian Cheung
9 papers · 2018–2024 · 4 conferences · across top CS/AI conferences
Achievements
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πΊοΈ Taxonomy Completionist (25) π Interdisciplinary Bridge π§ Keyword Pioneer π Conference Polyglot (4) π Academic Marathon (6)
π
Cross-Pollinator
(11)
π
Renaissance Researcher
(6)
β
The Questioner
Conferences
ICML (4)
ICLR (2)
NIPS (2)
WACV (1)
Top co-authors
Keywords
model compression
(2)
generative modeling
(1)
image classification
(1)
adversarial robustness
(1)
neural network training
(1)
computer vision
(1)
network pruning
(1)
neural network optimization
(1)
vector quantization
(1)
system identification
(1)
parameter sharing
(1)
model-based reinforcement learning
(1)
alternating optimization
(1)
neural network model
(1)
human visual system
(1)
brain computation
(1)
adversarial attack
(1)
generative model
(1)
probabilistic model
(1)
neural response
(1)
Papers
Position: The Platonic Representation Hypothesis
ICML 2024
System Identification of Neural Systems: If We Got It Right, Would We Know?
ICML 2023
Compact and Optimal Deep Learning With Recurrent Parameter Generators
WACV 2023
Straightening Out the Straight-Through Estimator: Overcoming Optimization Challenges in Vector Quantized Networks
ICML 2023
Equivariant Self-Supervised Learning: Encouraging Equivariance in Representations
ICLR 2022
Cautious Adaptation For Reinforcement Learning in Safety-Critical Settings
ICML 2020
Meta-Learning Update Rules for Unsupervised Representation Learning
ICLR 2019
Superposition of many models into one
NIPS 2019
Adversarial Examples that Fool both Computer Vision and Time-Limited Humans
NIPS 2018