Tian, Yonglong
- Supervised Contrastive Learning
2020/04/23 by Prannay Khosla, Khosla, Prannay, Piotr Teterwak +15 · 220 citations
Computer Science · #Advanced Neural Network Applications #Computer Vision and Pattern Recognition (cs.CV) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Multimodal Machine Learning Applications
- Contrastive Multiview Coding
2019/06/13 by Yonglong Tian, Dilip Krishnan, Tian, Yonglong +3 · 118 citations
Computer Science · #Advanced Vision and Imaging #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Image Enhancement Techniques #Machine Learning (cs.LG) #Video Surveillance and Tracking Methods
- Autoregressive Image Generation without Vector Quantization
2024/06/17 by Tianhong Li, Li, Tianhong, Yonglong Tian +7 · 159 citations
Computer Science · Engineering · #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Image Processing Techniques and Applications #Image Retrieval and Classification Techniques
- Representation Learning on Graphs with Jumping Knowledge Networks
2018/06/09 by Keyulu Xu, Xu, Keyulu, Chengtao Li +9 · 66 citations
Computer Science · Biochemistry, Genetics and Molecular Biology · Physics and Astronomy · #Advanced Graph Neural Networks #Bioinformatics and Genomic Networks #Complex Network Analysis Techniques
- Contrastive Representation Distillation
2019/10/23 by Tian, Yonglong, Krishnan, Dilip, Isola, Phillip · 42 citations
#Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
- What Makes for Good Views for Contrastive Learning?
2020/05/20 by Yonglong Tian, Tian, Yonglong, Chen Sun +9 · 60 citations
Social Sciences · #Adult and Continuing Education Topics #Education and Critical Thinking Development #Educator Training and Historical Pedagogy
- Improving CLIP Training with Language Rewrites
2023/05/31 by Fan, Lijie, Krishnan, Dilip, Isola, Phillip +2 · 30 citations
#Computation and Language (cs.CL) #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG)
- Fluid: Scaling Autoregressive Text-to-image Generative Models with Continuous Tokens
2024/10/17 by Lijie Fan, Fan, Lijie, Tianhong Li +15 · 39 citations
Computer Science · Arts and Humanities · #Computer Graphics and Visualization Techniques #Digital Humanities and Scholarship #Artificial Intelligence in Games
- Rethinking Few-Shot Image Classification: a Good Embedding Is All You Need?
2020/03/25 by Yonglong Tian, Yue Wang, Tian, Yonglong +7 · 14 citations
Computer Science · #Advanced Neural Network Applications #Computer Vision and Pattern Recognition (cs.CV) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Multimodal Machine Learning Applications
- StableRep: Synthetic Images from Text-to-Image Models Make Strong Visual Representation Learners
2023/06/01 by Yonglong Tian, Tian, Yonglong, Lijie Fan +7 · 18 citations
Computer Science · #Multimodal Machine Learning Applications #Generative Adversarial Networks and Image Synthesis #Advanced Image and Video Retrieval Techniques
- Scaling Laws of Synthetic Images for Model Training ... for Now
2023/12/07 by Lijie Fan, Fan, Lijie, Kaifeng Chen +9 · 20 citations
Computer Science · #Advanced Image and Video Retrieval Techniques #Computer Vision and Pattern Recognition (cs.CV) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Multimodal Machine Learning Applications
- PFGM++: Unlocking the Potential of Physics-Inspired Generative Models
2023/02/08 by Xu, Yilun, Liu, Ziming, Tian, Yonglong +3 · 10 citations
#Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG)
- Restart Sampling for Improving Generative Processes
2023/06/26 by Yilun Xu, Xu, Yilun, Mingyang Deng +9 · 10 citations
Computer Science · Physics and Astronomy · #Generative Adversarial Networks and Image Synthesis #Domain Adaptation and Few-Shot Learning #Model Reduction and Neural Networks
- Vision-Language Models Do Not Understand Negation
2025/01/16 by Alhamoud, Kumail, Alshammari, Shaden, Tian, Yonglong +4 · 14 citations
#Computation and Language (cs.CL) #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences
- Learning Vision from Models Rivals Learning Vision from Data
2023/12/28 by Yonglong Tian, Tian, Yonglong, Lijie Fan +9 · 8 citations
Computer Science · #Advanced Image and Video Retrieval Techniques #Computer Vision and Pattern Recognition (cs.CV) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Multimodal Machine Learning Applications
- Denoising Vision Transformers
2024/01/05 by Jiawei Yang, Katie Z Luo, Yang, Jiawei +9 · 7 citations
Computer Science · Engineering · #Advanced Neural Network Applications #CCD and CMOS Imaging Sensors #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Visual Attention and Saliency Detection
- Divide and Contrast: Self-supervised Learning from Uncurated Data
2021/05/17 by Yonglong Tian, Olivier J. Hénaff, Tian, Yonglong +3 · 4 citations
Computer Science · Medicine · #AI in cancer detection #COVID-19 diagnosis using AI #Computer Vision and Pattern Recognition (cs.CV) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences
- Learning to Infer and Execute 3D Shape Programs
2019/01/09 by Tian, Yonglong, Luo, Andrew, Sun, Xingyuan +4 · 3 citations
#Artificial Intelligence (cs.AI) #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Graphics (cs.GR) #Machine Learning (cs.LG)
- Generative Models as a Data Source for Multiview Representation Learning
2021/06/09 by Jahanian, Ali, Puig, Xavier, Tian, Yonglong +1 · 3 citations
#Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences
- Personalized Representation from Personalized Generation
2024/12/20 by Shobhita Sundaram, Sundaram, Shobhita, Julia Chae +7 · 1 voice · 3 citations
Computer Science · #Distributed and Parallel Computing Systems #cs.CV #cs.LG
- Latent Denoising Makes Good Tokenizers
2025/07/21 by Jiawei Yang, Tianhong Li, Yang, Jiawei +7 · 1 voice · 9 citations
#cs.CV
- Self-Correcting Self-Consuming Loops for Generative Model Training
2024/02/11 by Nate Gillman, Michael R. Freeman, Gillman, Nate +11 · 3 citations
Computer Science · Decision Sciences · #Artificial Intelligence (cs.AI) #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Model-Driven Software Engineering Techniques #Modeling and Simulation Systems #Simulation Techniques and Applications
- Does Learning from Decentralized Non-IID Unlabeled Data Benefit from Self Supervision?
2022/10/20 by Wang, Lirui, Zhang, Kaiqing, Li, Yunzhu +2 · 2 citations
#Artificial Intelligence (cs.AI) #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Robotics (cs.RO)
- Training-Free Uncertainty Estimation for Dense Regression: Sensitivity as a Surrogate
2019/09/28 by Mi, Lu, Wang, Hao, Tian, Yonglong +2 · 1 citation
#Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG)
- Co-advise: Cross Inductive Bias Distillation
2021/06/23 by Ren, Sucheng, Gao, Zhengqi, Hua, Tianyu +4 · 1 citation
#Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG)
- Self-supervision through Random Segments with Autoregressive Coding (RandSAC)
2022/03/22 by Hua, Tianyu, Tian, Yonglong, Ren, Sucheng +3 · 1 citation
#Artificial Intelligence (cs.AI) #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences