Tongzhou Wang

Affiliations:

Massachusetts Institute of Technology, MA, USA
Facebook AI Research, USA
University of California, Berkeley, CA, USA

According to our database¹, Tongzhou Wang authored at least 20 papers between 2017 and 2023.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

Timeline

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In proceedings

Article

PhD thesis

Dataset

Other

Bibliography

2023

Deep Augmentation: Enhancing Self-Supervised Learning through Transformations in Higher Activation Space.

[BibT_eX]

[DOI]

Rickard Brüel Gabrielsson

Tongzhou Wang

Manel Baradad

Justin Solomon

CoRR, 2023

Steerable Equivariant Representation Learning.

[BibT_eX]

[DOI]

CoRR, 2023

Optimal Goal-Reaching Reinforcement Learning via Quasimetric Learning.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning, 2023

Generalizing Dataset Distillation via Deep Generative Prior.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

Improved Representation of Asymmetrical Distances with Interval Quasimetric Embeddings.

[BibT_eX]

[DOI]

Tongzhou Wang

Phillip Isola

CoRR, 2022

On the Learning and Learnablity of Quasimetrics.

[BibT_eX]

[DOI]

Tongzhou Wang

Phillip Isola

CoRR, 2022

Procedural Image Programs for Representation Learning.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Denoised MDPs: Learning World Models Better Than the World Itself.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning, 2022

On the Learning and Learnability of Quasimetrics.

[BibT_eX]

[DOI]

Tongzhou Wang

Phillip Isola

Proceedings of the Tenth International Conference on Learning Representations, 2022

Totems: Physical Objects for Verifying Visual Integrity.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2022, 2022

Dataset Distillation by Matching Training Trajectories.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Wearable ImageNet: Synthesizing Tileable Textures via Dataset Distillation.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2022

2021

Learning to See by Looking at Noise.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

2020

Understanding Contrastive Representation Learning through Alignment and Uniformity on the Hypersphere.

[BibT_eX]

[DOI]

Tongzhou Wang

Phillip Isola

Proceedings of the 37th International Conference on Machine Learning, 2020

Rewriting a Deep Generative Model.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2020, 2020

Diverse Image Generation via Self-Conditioned GANs.

[BibT_eX]

[DOI]

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2018

Dataset Distillation.

[BibT_eX]

[DOI]

CoRR, 2018

Meta-Learning MCMC Proposals.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

2017

Neural Block Sampling.

[BibT_eX]

[DOI]

CoRR, 2017

Learning to Synthesize a 4D RGBD Light Field from a Single Image.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Computer Vision, 2017

Tongzhou Wang

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