Saurabh Garg

Publication Activity (10 Years)

Years Active: 2003-2024
Publications (10 Years): 44

Top Topics

Unsupervised Learning

Domain Adaptation

Top Venues

Publications

Saurabh Garg, Mehrdad Farajtabar, Hadi Pouransari, Raviteja Vemulapalli, Sachin Mehta, Oncel Tuzel, Vaishaal Shankar, Fartash Faghri
TiC-CLIP: Continual Training of CLIP Models. ICLR (2024)
Jeffrey Li, Alex Fang, Georgios Smyrnis, Maor Ivgi, Matt Jordan, Samir Yitzhak Gadre, Hritik Bansal, Etash Guha, Sedrick Keh, Kushal Arora, Saurabh Garg, Rui Xin, Niklas Muennighoff, Reinhard Heckel, Jean Mercat, Mayee Chen, Suchin Gururangan, Mitchell Wortsman, Alon Albalak, Yonatan Bitton, Marianna Nezhurina, Amro Abbas, Cheng-Yu Hsieh, Dhruba Ghosh, Josh Gardner, Maciej Kilian, Hanlin Zhang, Rulin Shao, Sarah M. Pratt, Sunny Sanyal, Gabriel Ilharco, Giannis Daras, Kalyani Marathe, Aaron Gokaslan, Jieyu Zhang, Khyathi Raghavi Chandu, Thao Nguyen, Igor Vasiljevic, Sham M. Kakade, Shuran Song, Sujay Sanghavi, Fartash Faghri, Sewoong Oh, Luke Zettlemoyer, Kyle Lo, Alaaeldin El-Nouby, Hadi Pouransari, Alexander Toshev, Stephanie Wang, Dirk Groeneveld, Luca Soldaini, Pang Wei Koh, Jenia Jitsev, Thomas Kollar, Alexandros G. Dimakis, Yair Carmon, Achal Dave, Ludwig Schmidt, Vaishaal Shankar
DataComp-LM: In search of the next generation of training sets for language models. CoRR (2024)
Rishabh Ranjan, Saurabh Garg, Mrigank Raman, Carlos Guestrin, Zachary Chase Lipton
Post-Hoc Reversal: Are We Selecting Models Prematurely? CoRR (2024)
Amrith Setlur, Saurabh Garg, Xinyang Geng, Naman Garg, Virginia Smith, Aviral Kumar
RL on Incorrect Synthetic Data Scales the Efficiency of LLM Math Reasoning by Eight-Fold. CoRR (2024)
Jianping Yao, Son N. Tran, Saurabh Garg, Samantha Sawyer
Deep Learning for Plant Identification and Disease Classification from Leaf Images: Multi-prediction Approaches. CoRR (2023)
Saurabh Garg, Mehrdad Farajtabar, Hadi Pouransari, Raviteja Vemulapalli, Sachin Mehta, Oncel Tuzel, Vaishaal Shankar, Fartash Faghri
TiC-CLIP: Continual Training of CLIP Models. CoRR (2023)
Kundan Krishna, Saurabh Garg, Jeffrey P. Bigham, Zachary C. Lipton
Downstream Datasets Make Surprisingly Good Pretraining Corpora. ACL (1) (2023)
Saurabh Garg, Nick Erickson, James Sharpnack, Alex Smola, Sivaraman Balakrishnan, Zachary C. Lipton
RLSbench: Domain Adaptation Under Relaxed Label Shift. CoRR (2023)
Elan Rosenfeld, Saurabh Garg
(Almost) Provable Error Bounds Under Distribution Shift via Disagreement Discrepancy. CoRR (2023)
Dheeraj Baby, Saurabh Garg, Tzu-Ching Yen, Sivaraman Balakrishnan, Zachary C. Lipton, Yu-Xiang Wang
Online Label Shift: Optimal Dynamic Regret meets Practical Algorithms. NeurIPS (2023)
Elan Rosenfeld, Saurabh Garg
(Almost) Provable Error Bounds Under Distribution Shift via Disagreement Discrepancy. NeurIPS (2023)
Zachary Novack, Julian J. McAuley, Zachary Chase Lipton, Saurabh Garg
CHiLS: Zero-Shot Image Classification with Hierarchical Label Sets. ICML (2023)
Saurabh Garg, Nick Erickson, James Sharpnack, Alex Smola, Sivaraman Balakrishnan, Zachary Chase Lipton
RLSbench: Domain Adaptation Under Relaxed Label Shift. ICML (2023)
Saurabh Garg, Amrith Setlur, Zachary C. Lipton, Sivaraman Balakrishnan, Virginia Smith, Aditi Raghunathan
Complementary Benefits of Contrastive Learning and Self-Training Under Distribution Shift. NeurIPS (2023)
Zachary Novack, Saurabh Garg, Julian J. McAuley, Zachary C. Lipton
CHiLS: Zero-Shot Image Classification with Hierarchical Label Sets. CoRR (2023)
Gal Kaplun, Nikhil Ghosh, Saurabh Garg, Boaz Barak, Preetum Nakkiran
Deconstructing Distributions: A Pointwise Framework of Learning. ICLR (2023)
Saurabh Garg, Amrith Setlur, Zachary Chase Lipton, Sivaraman Balakrishnan, Virginia Smith, Aditi Raghunathan
Complementary Benefits of Contrastive Learning and Self-Training Under Distribution Shift. CoRR (2023)
Zachary Novack, Simran Kaur, Tanya Marwah, Saurabh Garg, Zachary Chase Lipton
Disentangling the Mechanisms Behind Implicit Regularization in SGD. ICLR (2023)
Dheeraj Baby, Saurabh Garg, Tzu-Ching Yen, Sivaraman Balakrishnan, Zachary Chase Lipton, Yu-Xiang Wang
Online Label Shift: Optimal Dynamic Regret meets Practical Algorithms. CoRR (2023)
Saurabh Garg, Sivaraman Balakrishnan, Zachary Chase Lipton, Behnam Neyshabur, Hanie Sedghi
Leveraging unlabeled data to predict out-of-distribution performance. ICLR (2022)
Saurabh Garg, Sivaraman Balakrishnan, Zachary C. Lipton
Domain Adaptation under Open Set Label Shift. NeurIPS (2022)
Renjie Li, Rebecca J. St George, Xinyi Wang, Katherine Lawler, Edward Hill, Saurabh Garg, Stefan Williams, Samuel D. Relton, David Hogg, Quan Bai, Jane E. Alty
Moving towards intelligent telemedicine: Computer vision measurement of human movement. Comput. Biol. Medicine 147 (2022)
Kundan Krishna, Saurabh Garg, Jeffrey P. Bigham, Zachary C. Lipton
Downstream Datasets Make Surprisingly Good Pretraining Corpora. CoRR (2022)
Manley Roberts, Pranav Mani, Saurabh Garg, Zachary C. Lipton
Unsupervised Learning under Latent Label Shift. CoRR (2022)
Pratyush Maini, Saurabh Garg, Zachary C. Lipton, J. Zico Kolter
Characterizing Datapoints via Second-Split Forgetting. NeurIPS (2022)
Manley Roberts, Pranav Mani, Saurabh Garg, Zachary C. Lipton
Unsupervised Learning under Latent Label Shift. NeurIPS (2022)
Zachary Novack, Simran Kaur, Tanya Marwah, Saurabh Garg, Zachary C. Lipton
Disentangling the Mechanisms Behind Implicit Regularization in SGD. CoRR (2022)
Gal Kaplun, Nikhil Ghosh, Saurabh Garg, Boaz Barak, Preetum Nakkiran
Deconstructing Distributions: A Pointwise Framework of Learning. CoRR (2022)
Saurabh Garg, Sivaraman Balakrishnan, Zachary C. Lipton
Domain Adaptation under Open Set Label Shift. CoRR (2022)
Pratyush Maini, Saurabh Garg, Zachary C. Lipton, J. Zico Kolter
Characterizing Datapoints via Second-Split Forgetting. CoRR (2022)
Saurabh Garg, Sivaraman Balakrishnan, Zachary C. Lipton, Behnam Neyshabur, Hanie Sedghi
Leveraging Unlabeled Data to Predict Out-of-Distribution Performance. CoRR (2022)
Saurabh Garg, I. Scott MacKenzie
Comparison of Touch and Touchless Zoom Control Methods for Single-Handed Mobile Interaction. AHFE (7) (2021)
Saurabh Garg, Yifan Wu, Alex Smola, Sivaraman Balakrishnan, Zachary C. Lipton
Mixture Proportion Estimation and PU Learning: A Modern Approach. CoRR (2021)
Saurabh Garg, Joshua Zhanson, Emilio Parisotto, Adarsh Prasad, J. Zico Kolter, Sivaraman Balakrishnan, Zachary C. Lipton, Ruslan Salakhutdinov, Pradeep Ravikumar
On Proximal Policy Optimization's Heavy-tailed Gradients. CoRR (2021)
Xinyi Wang, Saurabh Garg, Son N. Tran, Quan Bai, Jane E. Alty
Hand tremor detection in videos with cluttered background using neural network based approaches. Health Inf. Sci. Syst. 9 (1) (2021)
Saurabh Garg, Yifan Wu, Alexander J. Smola, Sivaraman Balakrishnan, Zachary C. Lipton
Mixture Proportion Estimation and PU Learning: A Modern Approach. NeurIPS (2021)
Saurabh Garg, I. Scott MacKenzie
Fingerprint Scroll: Comparison of Touchless and Touch-Based Scroll Navigation Methods. INTERACT (3) (2021)
Saurabh Garg, Sivaraman Balakrishnan, J. Zico Kolter, Zachary C. Lipton
RATT: Leveraging Unlabeled Data to Guarantee Generalization. CoRR (2021)
Renjie Li, Xinyi Wang, Katherine Lawler, Saurabh Garg, Quan Bai, Jane E. Alty
Applications of Artificial Intelligence to aid detection of dementia: a narrative review on current capabilities and future directions. CoRR (2021)
Renjie Li, Son N. Tran, Saurabh Garg, Katherine Lawler, Jane E. Alty, Quan Bai
Parallel Multi-Scale Networks with Deep Supervision for Hand Keypoint Detection. CoRR (2021)
Saurabh Garg, Joshua Zhanson, Emilio Parisotto, Adarsh Prasad, J. Zico Kolter, Zachary Lipton, Sivaraman Balakrishnan, Ruslan Salakhutdinov, Pradeep Ravikumar
On Proximal Policy Optimization's Heavy-tailed Gradients. ICML (2021)
Saurabh Garg, Sivaraman Balakrishnan, J. Zico Kolter, Zachary Lipton
RATT: Leveraging Unlabeled Data to Guarantee Generalization. ICML (2021)
Saurabh Garg, Yifan Wu, Sivaraman Balakrishnan, Zachary C. Lipton
A Unified View of Label Shift Estimation. NeurIPS (2020)
Saurabh Garg, Yifan Wu, Sivaraman Balakrishnan, Zachary C. Lipton
A Unified View of Label Shift Estimation. CoRR (2020)
Prateek Singh, Saurabh Garg, Vinod Kumar, Zia Saquib
A testbed for SCADA cyber security and intrusion detection. SSIC (2015)
Saurabh Garg, Bilyana Martinovski, Susan Robinson, Jens Stephan, Joel R. Tetreault, David R. Traum
Evaluation of Transcription and Annotation Tools for a Multi-modal, Multi-party Dialogue Corpus. LREC (2004)
Leila Taher, Oliver Rinner, Saurabh Garg, Alexander Sczyrba, Burkhard Morgenstern
AGenDA: gene prediction by cross-species sequence comparison. Nucleic Acids Res. 32 (Web-Server-Issue) (2004)
Susan Robinson, Bilyana Martinovski, Saurabh Garg, Jens Stephan, David R. Traum
Issues in Corpus Development for Multi-party Multi-modal Task-oriented Dialogue. LREC (2004)
Leila Taher, Oliver Rinner, Saurabh Garg, Alexander Sczyrba, Michael Brudno, Serafim Batzoglou, Burkhard Morgenstern
AGenDA: homology-based gene prediction. Bioinform. 19 (12) (2003)