Tongzhou Wang
15 papers · 2017–2024 · 6 conferences · across top CS/AI conferences
Achievements
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π Renaissance Researcher (5) π Interdisciplinary Bridge π Academic Marathon (7) π Conference Polyglot (6) πΊοΈ Taxonomy Completionist (22)
π
Academic Marathon
(7)
π§
Keyword Pioneer
π
Renaissance Researcher
(5)
π€
Dynamic Duo
(10)
π
Triple Crown
π₯
Unstoppable
(5)
π
Century Club
(15)
β‘
Prolific Year
(5)
Conferences
ICML (4)
CVPR (3)
ECCV (3)
NIPS (3)
ICCV (1)
ICLR (1)
Top co-authors
Keywords
self-supervised learning
(3)
neural network
(3)
representation learning
(3)
synthetic datum
(3)
image generation
(2)
dataset distillation
(2)
knowledge distillation
(1)
value function
(1)
state abstraction
(1)
markov chain monte carlo
(1)
procedural generation
(1)
feature space
(1)
gradient descent
(1)
gibbs sampling
(1)
generative model
(1)
visual representation
(1)
network optimization
(1)
generative prior
(1)
model-based reinforcement learning
(1)
feature embedding
(1)
Papers
Position: The Platonic Representation Hypothesis
ICML 2024
Characterizing Model Robustness via Natural Input Gradients
ECCV 2024
Generalizing Dataset Distillation via Deep Generative Prior
CVPR 2023
Optimal Goal-Reaching Reinforcement Learning via Quasimetric Learning
ICML 2023
Totems: Physical Objects for Verifying Visual Integrity
ECCV 2022
Procedural Image Programs for Representation Learning
NIPS 2022
Dataset Distillation by Matching Training Trajectories
CVPR 2022
On the Learning and Learnability of Quasimetrics
ICLR 2022
Denoised MDPs: Learning World Models Better Than the World Itself
ICML 2022
Learning to See by Looking at Noise
NIPS 2021
Diverse Image Generation via Self-Conditioned GANs
CVPR 2020
Understanding Contrastive Representation Learning through Alignment and Uniformity on the Hypersphere
ICML 2020
Rewriting a Deep Generative Model
ECCV 2020
Meta-Learning MCMC Proposals
NIPS 2018
Learning to Synthesize a 4D RGBD Light Field From a Single Image
ICCV 2017