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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
19202020
Dataset Distillation
T Wang, JY Zhu, A Torralba, AA Efros
arXiv, 2018
6642018
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
3652022
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
2902017
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
1352020
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
1232020
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
1152021
The Platonic Representation Hypothesis
M Huh, B Cheung, T Wang, P Isola
International Conference on Machine Learning (ICML) 2024, 2024
69*2024
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
672023
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
512022
Meta-Learning MCMC Proposals
T Wang, Y Wu, D Moore, SJ Russell
Advances in Neural Information Processing Systems (NeurIPS) 2018 31, 2018
382018
Optimal Goal-Reaching Reinforcement Learning via Quasimetric Learning
T Wang, A Torralba, P Isola, A Zhang
International Conference on Machine Learning (ICML) 2023, 2023
292023
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
262022
CycleGAN with Better Cycles
T Wang, Y Lin
Technical Report, 2018
14*2018
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
122022
On the Learning and Learnability of Quasimetrics
T Wang, P Isola
International Conference on Learning Representations (ICLR) 2022, 2022
102022
Steerable Equivariant Representation Learning
S Bhardwaj, W McClinton, T Wang, G Lajoie, C Sun, P Isola, D Krishnan
arXiv, 2023
52023
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
52022
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
32022
A Framework for Evaluating the Efficacy of Foundation Embedding Models in Healthcare
S Xu, H Gui, V Rotemberg, T Wang, Y Chen, R Daneshjou
medRxiv, 2024.04. 17.24305983, 2024
12024
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