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Yonglong Tian
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Publications
- 2025
- [c35]Lijie Fan, Tianhong Li, Siyang Qin, Yuanzhen Li, Chen Sun, Michael Rubinstein, Deqing Sun, Kaiming He, Yonglong Tian:
Fluid: Scaling Autoregressive Text-to-image Generative Models with Continuous Tokens. ICLR 2025 - 2024
- [c29]Nate Gillman, Michael Freeman, Daksh Aggarwal, Chia-Hong Hsu, Calvin Luo, Yonglong Tian, Chen Sun:
Self-Correcting Self-Consuming Loops for Generative Model Training. ICML 2024 - [i30]Nate Gillman, Michael Freeman, Daksh Aggarwal, Chia-Hong Hsu, Calvin Luo, Yonglong Tian, Chen Sun:
Self-Correcting Self-Consuming Loops for Generative Model Training. CoRR abs/2402.07087 (2024) - [i28]Lijie Fan, Tianhong Li, Siyang Qin, Yuanzhen Li, Chen Sun, Michael Rubinstein, Deqing Sun, Kaiming He, Yonglong Tian:
Fluid: Scaling Autoregressive Text-to-image Generative Models with Continuous Tokens. CoRR abs/2410.13863 (2024) - 2021
- [c16]Chen Sun, Arsha Nagrani, Yonglong Tian, Cordelia Schmid:
Composable Augmentation Encoding for Video Representation Learning. ICCV 2021: 8814-8824 - [i17]Chen Sun, Arsha Nagrani, Yonglong Tian, Cordelia Schmid:
Composable Augmentation Encoding for Video Representation Learning. CoRR abs/2104.00616 (2021) - 2020
- [c10]Yonglong Tian, Chen Sun, Ben Poole, Dilip Krishnan, Cordelia Schmid, Phillip Isola:
What Makes for Good Views for Contrastive Learning? NeurIPS 2020 - [i10]Yonglong Tian, Chen Sun, Ben Poole, Dilip Krishnan, Cordelia Schmid, Phillip Isola:
What makes for good views for contrastive learning. CoRR abs/2005.10243 (2020)

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last updated on 2025-08-22 02:04 CEST by the dblp team
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