Yonglong Tian
Massachusetts Institute of Technology
H-index: 21
North America-United States
Top articles of Yonglong Tian
Title | Journal | Author(s) | Publication Date |
|---|---|---|---|
Denoising Vision Transformers | arXiv preprint arXiv:2401.02957 | Jiawei Yang Katie Z Luo Jiefeng Li Kilian Q Weinberger Yonglong Tian | 2024/1/5 |
Self-Correcting Self-Consuming Loops for Generative Model Training | arXiv preprint arXiv:2402.07087 | Nate Gillman Michael Freeman Daksh Aggarwal Chia-Hong Hsu Calvin Luo | 2024/2/11 |
Restart sampling for improving generative processes | Advances in Neural Information Processing Systems | Yilun Xu Mingyang Deng Xiang Cheng Yonglong Tian Ziming Liu | 2023/12/15 |
Stablerep: Synthetic images from text-to-image models make strong visual representation learners | NeurIPS 2023 | Yonglong Tian Lijie Fan Phillip Isola Huiwen Chang Dilip Krishnan | 2023/6/1 |
Learning vision from models rivals learning vision from data | arXiv preprint arXiv:2312.17742 | Yonglong Tian Lijie Fan Kaifeng Chen Dina Katabi Dilip Krishnan | 2023/12/28 |
Improving clip training with language rewrites | NeurIPS 2023 | Lijie Fan Dilip Krishnan Phillip Isola Dina Katabi Yonglong Tian | 2023/5/31 |
Scaling laws of synthetic images for model training... for now | arXiv preprint arXiv:2312.04567 | Lijie Fan Kaifeng Chen Dilip Krishnan Dina Katabi Phillip Isola | 2023/12/7 |
Towards General-purpose Vision via Multiview Contrastive Learning | Yonglong Tian | 2023 | |
Leveraging Unpaired Data for Vision-Language Generative Models via Cycle Consistency | arXiv preprint arXiv:2310.03734 | Tianhong Li Sangnie Bhardwaj Yonglong Tian Han Zhang Jarred Barber | 2023/10/5 |
Addressing feature suppression in unsupervised visual representations | Tianhong Li Lijie Fan Yuan Yuan Hao He Yonglong Tian | 2023 | |
Pfgm++: Unlocking the potential of physics-inspired generative models | Yilun Xu Ziming Liu Yonglong Tian Shangyuan Tong Max Tegmark | 2023/7/3 | |
Co-advise: Cross inductive bias distillation | Sucheng Ren Zhengqi Gao Tianyu Hua Zihui Xue Yonglong Tian | 2022 | |
Unsupervised learning of shape programs with repeatable implicit parts | Advances in Neural Information Processing Systems | Boyang Deng Sumith Kulal Zhengyang Dong Congyue Deng Yonglong Tian | 2022/12/6 |
Does learning from decentralized non-iid unlabeled data benefit from self supervision? | arXiv preprint arXiv:2210.10947 | Lirui Wang Kaiqing Zhang Yunzhu Li Yonglong Tian Russ Tedrake | 2022/10/20 |
An Improved Baseline for Masked Contrastive Learning | Yonglong Tian Dilip Krishnan Phillip Isola | 2022/9/29 | |
Supervised contrastive learning with multiple positive examples | 2022/5/31 | ||
Self-supervision through random segments with autoregressive coding (randsac) | arXiv preprint arXiv:2203.12054 | Tianyu Hua Yonglong Tian Sucheng Ren Michalis Raptis Hang Zhao | 2022/3/22 |
Simple distillation baselines for improving small self-supervised models | arXiv preprint arXiv:2106.11304 | Jindong Gu Wei Liu Yonglong Tian | 2021/6/21 |
Generative models as a data source for multiview representation learning | ICLR 2022 | Ali Jahanian Xavier Puig Yonglong Tian Phillip Isola | 2022 |
Divide and Contrast: Self-supervised Learning from Uncurated Data | Yonglong Tian Olivier J Henaff Aaron van den Oord | 2021/5/17 |
Co-Authors
