Wang, Tongzhou

19 publications

TMLR 2025 Deep Augmentation: Dropout as Augmentation for Self-Supervised Learning Rickard Brüel Gabrielsson, Tongzhou Wang, Manel Baradad, Justin Solomon

ECCV 2024 Characterizing Model Robustness via Natural Input Gradients Adrian Rodriguez-Munoz, Tongzhou Wang, Antonio Torralba

ICML 2024 Position: The Platonic Representation Hypothesis Minyoung Huh, Brian Cheung, Tongzhou Wang, Phillip Isola

ICMLW 2024 Towards Efficient Large-Scale Language-3D Representation Learning Shentong Mo, Xiaogang Xu, Tongzhou Wang, Antonio Torralba, Shuang Li

CVPR 2023 Generalizing Dataset Distillation via Deep Generative Prior George Cazenavette, Tongzhou Wang, Antonio Torralba, Alexei A. Efros, Jun-Yan Zhu

ICML 2023 Optimal Goal-Reaching Reinforcement Learning via Quasimetric Learning Tongzhou Wang, Antonio Torralba, Phillip Isola, Amy Zhang

CVPR 2022 Dataset Distillation by Matching Training Trajectories George Cazenavette, Tongzhou Wang, Antonio Torralba, Alexei A. Efros, Jun-Yan Zhu

CVPRW 2022 Dataset Distillation by Matching Training Trajectories George Cazenavette, Tongzhou Wang, Antonio Torralba, Alexei A. Efros, Jun-Yan Zhu

ICML 2022 Denoised MDPs: Learning World Models Better than the World Itself Tongzhou Wang, Simon Du, Antonio Torralba, Phillip Isola, Amy Zhang, Yuandong Tian

NeurIPSW 2022 Improved Representation of Asymmetrical Distances with Interval Quasimetric Embeddings Tongzhou Wang, Phillip Isola

ICLR 2022 On the Learning and Learnability of Quasimetrics Tongzhou Wang, Phillip Isola

NeurIPS 2022 Procedural Image Programs for Representation Learning Manel Baradad, Richard Chen, Jonas Wulff, Tongzhou Wang, Rogerio Feris, Antonio Torralba, Phillip Isola

ECCV 2022 Totems: Physical Objects for Verifying Visual Integrity Jingwei Ma, Lucy Chai, Minyoung Huh, Tongzhou Wang, Ser-Nam Lim, Phillip Isola, Antonio Torralba

CVPRW 2022 Wearable ImageNet: Synthesizing Tileable Textures via Dataset Distillation George Cazenavette, Tongzhou Wang, Antonio Torralba, Alexei A. Efros, Jun-Yan Zhu

NeurIPS 2021 Learning to See by Looking at Noise Manel Baradad Jurjo, Jonas Wulff, Tongzhou Wang, Phillip Isola, Antonio Torralba

ECCV 2020 Rewriting a Deep Generative Model David Bau, Steven Liu, Tongzhou Wang, Jun-Yan Zhu, Antonio Torralba

ICML 2020 Understanding Contrastive Representation Learning Through Alignment and Uniformity on the Hypersphere Tongzhou Wang, Phillip Isola

NeurIPS 2018 Meta-Learning MCMC Proposals Tongzhou Wang, Yi Wu, Dave Moore, Stuart Russell

ICCV 2017 Learning to Synthesize a 4D RGBD Light Field from a Single Image Pratul P. Srinivasan, Tongzhou Wang, Ashwin Sreelal, Ravi Ramamoorthi, Ren Ng