Tongzhou Wang

38 papers A* 12Journal 21Unranked 5
YearRankTypeTitle / Venue / Authors
2025 J jnl
Deep Augmentation: Dropout as Augmentation for Self-Supervised Learning.
Trans. Mach. Learn. Res.
Rickard Brüel Gabrielsson, Tongzhou Wang, Manel Baradad, Justin Solomon
2024 — conf
Characterizing Model Robustness via Natural Input Gradients.
ECCV (76)
Adrián Rodríguez-Muñoz, Tongzhou Wang, Antonio Torralba
2024 J jnl
Characterizing Model Robustness via Natural Input Gradients.
CoRR
Adrián Rodríguez-Muñoz, Tongzhou Wang, Antonio Torralba
2024 J jnl
CycleGAN with Better Cycles.
CoRR
Tongzhou Wang, Yihan Lin
2024 A* conf
Position: The Platonic Representation Hypothesis.
ICML
Minyoung Huh, Brian Cheung, Tongzhou Wang, Phillip Isola
2024 J jnl
The Platonic Representation Hypothesis.
CoRR
Minyoung Huh, Brian Cheung, Tongzhou Wang, Phillip Isola
2023 J jnl
Deep Augmentation: Enhancing Self-Supervised Learning through Transformations in Higher Activation Space.
CoRR
Rickard Brüel Gabrielsson, Tongzhou Wang, Manel Baradad, Justin Solomon
2023 A* conf
Generalizing Dataset Distillation via Deep Generative Prior.
CVPR
George Cazenavette, Tongzhou Wang, Antonio Torralba, Alexei A. Efros, Jun-Yan Zhu
2023 J jnl
Generalizing Dataset Distillation via Deep Generative Prior.
CoRR
George Cazenavette, Tongzhou Wang, Antonio Torralba, Alexei A. Efros, Jun-Yan Zhu
2023 A* conf
Optimal Goal-Reaching Reinforcement Learning via Quasimetric Learning.
ICML
Tongzhou Wang, Antonio Torralba, Phillip Isola, Amy Zhang
2023 J jnl
Optimal Goal-Reaching Reinforcement Learning via Quasimetric Learning.
CoRR
Tongzhou Wang, Antonio Torralba, Phillip Isola, Amy Zhang
2023 J jnl
Steerable Equivariant Representation Learning.
CoRR
Sangnie Bhardwaj, Willie McClinton, Tongzhou Wang, Guillaume Lajoie, Chen Sun, Phillip Isola, Dilip Krishnan
2022 — conf
Dataset Distillation by Matching Training Trajectories.
CVPR Workshops
George Cazenavette, Tongzhou Wang, Antonio Torralba, Alexei A. Efros, Jun-Yan Zhu
2022 A* conf
Dataset Distillation by Matching Training Trajectories.
CVPR
George Cazenavette, Tongzhou Wang, Antonio Torralba, Alexei A. Efros, Jun-Yan Zhu
2022 J jnl
Dataset Distillation by Matching Training Trajectories.
CoRR
George Cazenavette, Tongzhou Wang, Antonio Torralba, Alexei A. Efros, Jun-Yan Zhu
2022 A* conf
Denoised MDPs: Learning World Models Better Than the World Itself.
ICML
Tongzhou Wang, Simon S. Du, Antonio Torralba, Phillip Isola, Amy Zhang, Yuandong Tian
2022 J jnl
Denoised MDPs: Learning World Models Better Than the World Itself.
CoRR
Tongzhou Wang, Simon S. Du, Antonio Torralba, Phillip Isola, Amy Zhang, Yuandong Tian
2022 J jnl
Improved Representation of Asymmetrical Distances with Interval Quasimetric Embeddings.
CoRR
Tongzhou Wang, Phillip Isola
2022 A* conf
On the Learning and Learnability of Quasimetrics.
ICLR
Tongzhou Wang, Phillip Isola
2022 J jnl
On the Learning and Learnablity of Quasimetrics.
CoRR
Tongzhou Wang, Phillip Isola
2022 A* conf
Procedural Image Programs for Representation Learning.
NeurIPS
Manel Baradad, Chun-Fu Richard Chen, Jonas Wulff, Tongzhou Wang, Rogério Feris, Antonio Torralba, Phillip Isola
2022 J jnl
Procedural Image Programs for Representation Learning.
CoRR
Manel Baradad, Chun-Fu Chen, Jonas Wulff, Tongzhou Wang, Rogério Feris, Antonio Torralba, Phillip Isola
2022 — conf
Totems: Physical Objects for Verifying Visual Integrity.
ECCV (14)
Jingwei Ma, Lucy Chai, Minyoung Huh, Tongzhou Wang, Ser-Nam Lim, Phillip Isola, Antonio Torralba
2022 J jnl
Totems: Physical Objects for Verifying Visual Integrity.
CoRR
Jingwei Ma, Lucy Chai, Minyoung Huh, Tongzhou Wang, Ser-Nam Lim, Phillip Isola, Antonio Torralba
2022 — conf
Wearable ImageNet: Synthesizing Tileable Textures via Dataset Distillation.
CVPR Workshops
George Cazenavette, Tongzhou Wang, Antonio Torralba, Alexei A. Efros, Jun-Yan Zhu
2021 A* conf
Learning to See by Looking at Noise.
NeurIPS
Manel Baradad Jurjo, Jonas Wulff, Tongzhou Wang, Phillip Isola, Antonio Torralba
2021 J jnl
Learning to See by Looking at Noise.
CoRR
Manel Baradad, Jonas Wulff, Tongzhou Wang, Phillip Isola, Antonio Torralba
2020 A* conf
Diverse Image Generation via Self-Conditioned GANs.
CVPR
Steven Liu, Tongzhou Wang, David Bau, Jun-Yan Zhu, Antonio Torralba
2020 J jnl
Diverse Image Generation via Self-Conditioned GANs.
CoRR
Steven Liu, Tongzhou Wang, David Bau, Jun-Yan Zhu, Antonio Torralba
2020 — conf
Rewriting a Deep Generative Model.
ECCV (1)
David Bau, Steven Liu, Tongzhou Wang, Jun-Yan Zhu, Antonio Torralba
2020 J jnl
Rewriting a Deep Generative Model.
CoRR
David Bau, Steven Liu, Tongzhou Wang, Jun-Yan Zhu, Antonio Torralba
2020 A* conf
Understanding Contrastive Representation Learning through Alignment and Uniformity on the Hypersphere.
ICML
Tongzhou Wang, Phillip Isola
2020 J jnl
Understanding Contrastive Representation Learning through Alignment and Uniformity on the Hypersphere.
CoRR
Tongzhou Wang, Phillip Isola
2018 J jnl
Dataset Distillation.
CoRR
Tongzhou Wang, Jun-Yan Zhu, Antonio Torralba, Alexei A. Efros
2018 A* conf
Meta-Learning MCMC Proposals.
NeurIPS
Tongzhou Wang, Yi Wu, Dave Moore, Stuart J. Russell
2017 A* conf
Learning to Synthesize a 4D RGBD Light Field from a Single Image.
ICCV
Pratul P. Srinivasan, Tongzhou Wang, Ashwin Sreelal, Ravi Ramamoorthi, Ren Ng
2017 J jnl
Learning to Synthesize a 4D RGBD Light Field from a Single Image.
CoRR
Pratul P. Srinivasan, Tongzhou Wang, Ashwin Sreelal, Ravi Ramamoorthi, Ren Ng
2017 J jnl
Neural Block Sampling.
CoRR
Tongzhou Wang, Yi Wu, David A. Moore, Stuart J. Russell