Saurabh Garg

1. DataComp-LM: In search of the next generation of training sets for language models
   2024/06/17 by Jeffrey Li, Alex Fang, Alex Chengyu Fang +121 · 2 voices · 80 citations
   Computer Science · #Natural Language Processing Techniques #Topic Modeling #cs.CL #cs.LG
2. On Proximal Policy Optimization's Heavy-tailed Gradients
   2021/02/20 by Saurabh Garg, Garg, Saurabh, Joshua Zhanson +15 · 8 citations
   Computer Science · Decision Sciences · #Advanced Bandit Algorithms Research #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Reinforcement Learning in Robotics #Robotics (cs.RO) #Stochastic Gradient Optimization Techniques
3. CHiLS: Zero-Shot Image Classification with Hierarchical Label Sets
   2023/02/06 by Zachary Novack, Julian McAuley, Novack, Zachary +5 · 9 citations
   Computer Science · Medicine · #COVID-19 diagnosis using AI #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
4. Medical Adaptation of Large Language and Vision-Language Models: Are We Making Progress?
   2024/11/06 by Daniel P. Jeong, Jeong, Daniel P., Saurabh Garg +5 · 4 voices · 5 citations
   Computer Science · #Multimodal Machine Learning Applications #cs.AI #cs.CL #cs.LG
5. Domain Adaptation under Open Set Label Shift
   2022/07/26 by Saurabh Garg, Garg, Saurabh, Sivaraman Balakrishnan +3 · 7 citations
   Computer Science · Biochemistry, Genetics and Molecular Biology · #Domain Adaptation and Few-Shot Learning #Cancer-related molecular mechanisms research
6. Mixture Proportion Estimation and PU Learning: A Modern Approach
   2021/11/01 by Saurabh Garg, Yifan Wu, Garg, Saurabh +7 · 6 citations
   Computer Science · #Machine Learning and Data Classification #Machine Learning and Algorithms #Imbalanced Data Classification Techniques
7. TiC-CLIP: Continual Training of CLIP Models
   2023/10/24 by Saurabh Garg, Garg, Saurabh, Mehrdad Farajtabar +13 · 4 citations
   Computer Science · #Multimodal Machine Learning Applications #Domain Adaptation and Few-Shot Learning #Topic Modeling
8. Downstream Datasets Make Surprisingly Good Pretraining Corpora
   2022/09/28 by K. Siva Krishna, Saurabh Garg, Krishna, Kundan +5 · 2 citations
   Computer Science · #Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Natural Language Processing Techniques #Text Readability and Simplification #Topic Modeling
9. A Comprehensive Review on Deep Supervision: Theories and Applications
   2022/07/06 by Renjie Li, Xinyi Wang, Li, Renjie +17 · 2 citations
   Computer Science · Neuroscience · #Advanced Neural Network Applications #Face and Expression Recognition #Brain Tumor Detection and Classification
10. Deep Learning for Plant Identification and Disease Classification from Leaf Images: Multi-prediction Approaches
    2023/10/25 by Jianping Yao, Yao, Jianping, Son N. Tran +5 · 2 citations
    Agricultural and Biological Sciences · #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Smart Agriculture and AI
11. Characterizing Datapoints via Second-Split Forgetting
    2022/10/26 by Pratyush Maini, Maini, Pratyush, Saurabh Garg +5 · 1 citation
    Computer Science · #Machine Learning and Data Classification #Domain Adaptation and Few-Shot Learning #Explainable Artificial Intelligence (XAI)
12. Deconstructing Distributions: A Pointwise Framework of Learning
    2022/02/20 by Gal Kaplun, Nikhil Ghosh, Kaplun, Gal +7 · 1 citation
    Computer Science · #Machine Learning and Data Classification #Explainable Artificial Intelligence (XAI) #Adversarial Robustness in Machine Learning