Krishnan, Dilip
- Gemini 2.5: Pushing the Frontier with Advanced Reasoning, Multimodality, Long Context, and Next Generation Agentic Capabilities
2025/07/07 by Gheorghe Comanici, Eric Bieber, Comanici, Gheorghe +6844 · 8 voices · 1363 citations
#cs.CL #cs.AI
- Supervised Contrastive Learning
2020/04/23 by Prannay Khosla, Khosla, Prannay, Piotr Teterwak +15 · 225 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, Tian, Yonglong, Dilip Krishnan +3 · 128 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
- What Makes for Good Views for Contrastive Learning?
2020/05/20 by Yonglong Tian, Chen Sun, Tian, Yonglong +9 · 62 citations
Social Sciences · #Adult and Continuing Education Topics #Education and Critical Thinking Development #Educator Training and Historical Pedagogy
- 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)
- Muse: Text-To-Image Generation via Masked Generative Transformers
2023/01/02 by Hui‐Wen Chang, Chang, Huiwen, Han Zhang +21 · 52 citations
Computer Science · #Artificial Intelligence (cs.AI) #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Generative Adversarial Networks and Image Synthesis #Machine Learning (cs.LG) #Multimodal Machine Learning Applications
- Fantastic Generalization Measures and Where to Find Them
2019/12/04 by Jiang, Yiding, Neyshabur, Behnam, Mobahi, Hossein +2 · 30 citations
#FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
- Improving CLIP Training with Language Rewrites
2023/05/31 by Fan, Lijie, Krishnan, Dilip, Isola, Phillip +2 · 32 citations
#Computation and Language (cs.CL) #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG)
- MAGE: MAsked Generative Encoder to Unify Representation Learning and Image Synthesis
2022/11/16 by Tianhong Li, Li, Tianhong, Hui‐Wen Chang +9 · 27 citations
Computer Science · #Generative Adversarial Networks and Image Synthesis #Multimodal Machine Learning Applications #Domain Adaptation and Few-Shot Learning
- StyleDrop: Text-to-Image Generation in Any Style
2023/06/01 by Kihyuk Sohn, Nataniel Ruiz, Sohn, Kihyuk +24 · 28 citations
Computer Science · Engineering · #Artificial Intelligence (cs.AI) #Computer Graphics and Visualization Techniques #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Generative Adversarial Networks and Image Synthesis #Human Motion and Animation
- Domain Separation Networks
2016/08/22 by Bousmalis, Konstantinos, Trigeorgis, George, Silberman, Nathan +2 · 11 citations
#Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences
- Rethinking Few-Shot Image Classification: a Good Embedding Is All You Need?
2020/03/25 by Yonglong Tian, Tian, Yonglong, Yue Wang +7 · 15 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
- Unsupervised Pixel-Level Domain Adaptation with Generative Adversarial Networks
2016/12/16 by Bousmalis, Konstantinos, Silberman, Nathan, Dohan, David +2 · 10 citations
#Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences
- Scaling Laws of Synthetic Images for Model Training ... for Now
2023/12/07 by Lijie Fan, Kaifeng Chen, Fan, Lijie +9 · 21 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
- StableRep: Synthetic Images from Text-to-Image Models Make Strong Visual Representation Learners
2023/06/01 by Yonglong Tian, Lijie Fan, Tian, Yonglong +7 · 18 citations
Computer Science · #Multimodal Machine Learning Applications #Generative Adversarial Networks and Image Synthesis #Advanced Image and Video Retrieval Techniques
- Predicting the Generalization Gap in Deep Networks with Margin Distributions
2018/09/28 by Yiding Jiang, Dilip Krishnan, Jiang, Yiding +5 · 13 citations
Computer Science · #Adversarial Robustness in Machine Learning #Domain Adaptation and Few-Shot Learning #Advanced Neural Network Applications
- Large Margin Deep Networks for Classification
2018/03/15 by Elsayed, Gamaleldin F., Krishnan, Dilip, Mobahi, Hossein +2 · 6 citations
#FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
- Learning Vision from Models Rivals Learning Vision from Data
2023/12/28 by Yonglong Tian, Lijie Fan, Tian, Yonglong +9 · 9 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
- Adversarial Robustness through Local Linearization
2019/07/04 by Qin, Chongli, Martens, James, Gowal, Sven +6 · 4 citations
#FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
- Denoising Vision Transformers
2024/01/05 by Jiawei Yang, Yang, Jiawei, Katie Z Luo +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
- Boundless: Generative Adversarial Networks for Image Extension
2019/08/19 by Piotr Teterwak, Teterwak, Piotr, Aaron Sarna +11 · 2 citations
Computer Science · #Generative Adversarial Networks and Image Synthesis #Advanced Image Processing Techniques #Computer Graphics and Visualization Techniques
- Synthesizing Normalized Faces from Facial Identity Features
2017/01/17 by Cole, Forrester, Belanger, David, Krishnan, Dilip +3 · 1 citation
#Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (stat.ML)
- Leveraging Unpaired Data for Vision-Language Generative Models via Cycle Consistency
2023/10/05 by Tianhong Li, Li, Tianhong, Sangnie Bhardwaj +15 · 2 citations
Computer Science · #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Multimodal Machine Learning Applications #Natural Language Processing Techniques
- Understanding Invariance via Feedforward Inversion of Discriminatively Trained Classifiers
2021/03/15 by Piotr Teterwak, Teterwak, Piotr, Chiyuan Zhang +5 · 1 citation
Computer Science · #Adversarial Robustness in Machine Learning #Anomaly Detection Techniques and Applications #FOS: Computer and information sciences #Generative Adversarial Networks and Image Synthesis #Machine Learning (cs.LG)
- A simple, efficient and scalable contrastive masked autoencoder for learning visual representations
2022/10/30 by Mishra, Shlok, Robinson, Joshua, Chang, Huiwen +4 · 1 citation
#Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG)
- Substance or Style: What Does Your Image Embedding Know?
2023/07/10 by Cyrus Rashtchian, Charles Herrmann, Rashtchian, Cyrus +13 · 1 citation
Computer Science · Social Sciences · #Artificial Intelligence (cs.AI) #Authorship Attribution and Profiling #Computational and Text Analysis Methods #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Topic Modeling