Tian, Yonglong

Supervised Contrastive Learning

Khosla, P., Teterwak, P., Wang, C., Sarna, A., Tian, Y., Isola, P., Maschinot, A., Liu, C., & Krishnan, D. (2020) · arXiv

Domain Adaptation and Few-Shot LearningAdvanced Neural Network Applications

Cited by 3,569

Contrastive Multiview Coding

Tian, Y., Krishnan, D., & Isola, P. (2020) · Lecture Notes in Computer Science

Multimodal Machine Learning ApplicationsDomain Adaptation and Few-Shot Learning

Cited by 1,997

Rethinking Few-Shot Image Classification: A Good Embedding is All You Need?

Tian, Y., Wang, Y., Krishnan, D., Tenenbaum, J. B., & Isola, P. (2020) · Lecture Notes in Computer Science

Domain Adaptation and Few-Shot LearningAdvanced Neural Network Applications

Cited by 952

What makes for good views for contrastive learning

Tian, Y., Sun, C., Poole, B., Krishnan, D., Schmid, C., & Isola, P. (2020) · arXiv

Domain Adaptation and Few-Shot LearningAdvanced Neural Network Applications

Cited by 773

Contrastive Multiview Coding

Tian, Y., Krishnan, D., & Isola, P. (2019) · arXiv

Domain Adaptation and Few-Shot LearningMultimodal Machine Learning Applications

Cited by 465

Improving CLIP Training with Language Rewrites

Fan, L., Krishnan, D., Isola, P., Katabi, D., & Tian, Y. (2023) · arXiv

Multimodal Machine Learning ApplicationsTopic Modeling

Cited by 74

Scaling Laws of Synthetic Images for Model Training … for Now

Fan, L., Chen, K., Krishnan, D., Katabi, D., Isola, P., & Tian, Y. (2024) · 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Generative Adversarial Networks and Image SynthesisDomain Adaptation and Few-Shot Learning

Cited by 46

OpenAI GPT-5 System Card

Singh, A., Fry, A., Perelman, A., Tart, A., Ganesh, A., El-Kishky, A., McLaughlin, A., Low, A., Ostrow, A., Ananthram, A., et al. (2026) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 26