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Tongzhou Wang
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Cited by
Year
Understanding Contrastive Representation Learning Through Alignment and Uniformity on the Hypersphere
T Wang, P Isola
International Conference on Machine Learning (ICML) 2020, 2020
12572020
Dataset Distillation
T Wang, JY Zhu, A Torralba, AA Efros
arXiv, 2018
4022018
Learning to Synthesize a 4D RGBD Light Field From a Single Image
PP Srinivasan, T Wang, A Sreelal, R Ramamoorthi, R Ng
Proceedings of the IEEE International Conference on Computer Vision (ICCV…, 2017
2522017
Dataset Distillation by Matching Training Trajectories
G Cazenavette, T Wang, A Torralba, AA Efros, JY Zhu
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) 2022, 2022
1552022
Rewriting a Deep Generative Model
D Bau, S Liu, T Wang, JY Zhu, A Torralba
European Conference on Computer Vision (ECCV) 2020, 351-369, 2020
982020
Diverse Image Generation via Self-Conditioned GANs
S Liu, T Wang, D Bau, JY Zhu, A Torralba
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) 2020…, 2020
892020
Learning to See by Looking at Noise
M Baradad Jurjo, J Wulff, T Wang, P Isola, A Torralba
Advances in Neural Information Processing Systems (NeurIPS) 2021 34, 2556-2569, 2021
412021
Meta-Learning MCMC Proposals
T Wang, Y Wu, D Moore, SJ Russell
Advances in Neural Information Processing Systems (NeurIPS) 2018 31, 2018
372018
Denoised MDPs: Learning World Models Better Than the World Itself
T Wang, SS Du, A Torralba, P Isola, A Zhang, Y Tian
International Conference on Machine Learning (ICML) 2022, 2022
242022
Generalizing Dataset Distillation via Deep Generative Prior
G Cazenavette, T Wang, A Torralba, AA Efros, JY Zhu
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) 2023, 2023
132023
CycleGAN with Better Cycles
T Wang, Y Lin
Technical Report, 2018
122018
Optimal Goal-Reaching Reinforcement Learning via Quasimetric Learning
T Wang, A Torralba, P Isola, A Zhang
International Conference on Machine Learning (ICML) 2023, 2023
72023
Wearable ImageNet: Synthesizing Tileable Textures via Dataset Distillation
G Cazenavette, T Wang, A Torralba, AA Efros, JY Zhu
IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshop…, 2022
62022
Procedural Image Programs for Representation Learning
M Baradad, CF Chen, J Wulff, T Wang, R Feris, A Torralba, P Isola
Advances in Neural Information Processing Systems (NeurIPS) 2022, 2022
42022
On the Learning and Learnability of Quasimetrics
T Wang, P Isola
International Conference on Learning Representations (ICLR) 2022, 2022
42022
Steerable Equivariant Representation Learning
S Bhardwaj, W McClinton, T Wang, G Lajoie, C Sun, P Isola, D Krishnan
arXiv preprint arXiv:2302.11349, 2023
32023
Improved Representation of Asymmetrical Distances with Interval Quasimetric Embeddings
T Wang, P Isola
Workshop on Symmetry and Geometry in Neural Representations at NeurIPS 2022, 2022
12022
Totems: Physical Objects for Verifying Visual Integrity
J Ma, L Chai, M Huh, T Wang, SN Lim, P Isola, A Torralba
European Conference on Computer Vision (ECCV) 2022, 2022
12022
Deep Augmentation: Enhancing Self-Supervised Learning through Transformations in Higher Activation Space
R Brel-Gabrielsson, T Wang, M Baradad, J Solomon
arXiv preprint arXiv:2303.14537, 2023
2023
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Articles 1–19