• case-insensitive prefix search: default
  e.g., sig matches "SIGIR" as well as "signal"
• exact word search: append dollar sign ($) to word
  e.g., graph$ matches "graph", but not "graphics"
• boolean and: separate words by space
  e.g., codd model
• boolean or: connect words by pipe symbol (|)
  e.g., graph|network

Update May 7, 2017: Please note that we had to disable the phrase search operator (.) and the boolean not operator (-) due to technical problems. For the time being, phrase search queries will yield regular prefix search result, and search terms preceded by a minus will be interpreted as regular (positive) search terms.

found 244 matches

• 2024
• 
  Jianping Yao, Son N. Tran, Saurabh Kumar Garg, Samantha Sawyer:
  Deep Learning for Plant Identification and Disease Classification from Leaf Images: Multi-prediction Approaches. ACM Comput. Surv. 56(6): 153:1-153:37 (2024)
• 
  Renjie Li, Guan Huang, Xinyi Wang, Yanyu Chen, Son N. Tran, Saurabh Kumar Garg, Rebecca J. St George, Katherine Lawler, Jane E. Alty, Quan Bai:
  Parallel scale de-blur net for sharpening video images for remote clinical assessment of hand movements. Expert Syst. Appl. 235: 121093 (2024)
• 
  Peizhe Ma, Saurabh Garg, Mutaz Barika:
  Research allocation in mobile volunteer computing system: Taxonomy, challenges and future work. Future Gener. Comput. Syst. 154: 251-265 (2024)
• 
  Utkarsh Oggy Sarawgi, John Berkowitz, Vineet Garg, Arnav Kundu, Minsik Cho, Sai Srujana Buddi, Saurabh Adya, Ahmed H. Tewfik:
  Streaming Anchor Loss: Augmenting Supervision with Temporal Significance. ICASSP 2024: 6110-6114
• 
  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
• 
  Amrith Setlur, Saurabh Garg, Virginia Smith, Sergey Levine:
  Prompting is a Double-Edged Sword: Improving Worst-Group Robustness of Foundation Models. ICML 2024
• 
  Rishabh Ranjan, Saurabh Garg, Mrigank Raman, Carlos Guestrin, Zachary Chase Lipton:
  Post-Hoc Reversal: Are We Selecting Models Prematurely? CoRR abs/2404.07815 (2024)
• 
  Satyam Kumar, Sai Srujana Buddi, Utkarsh Oggy Sarawgi, Vineet Garg, Shivesh Ranjan, Ognjen Rudovic, Ahmed Hussen Abdelaziz, Saurabh Adya:
  Comparative Analysis of Personalized Voice Activity Detection Systems: Assessing Real-World Effectiveness. CoRR abs/2406.09443 (2024)
• 
  Jeffrey Li, Alex Fang, Georgios Smyrnis, Maor Ivgi, Matt Jordan, Samir Yitzhak Gadre, Hritik Bansal, Etash Kumar 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 abs/2406.11794 (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 abs/2406.14532 (2024)
• 2023
• 
  Jianping Yao, Son N. Tran, Samantha Sawyer, Saurabh Kumar Garg:
  Machine learning for leaf disease classification: data, techniques and applications. Artif. Intell. Rev. 56(Supplement 3): 3571-3616 (2023)
• 
  Ujjwal KC, Saurabh Garg, James E. Hilton, Jagannath Aryal:
  An adaptive quadtree-based approach for efficient decision making in wildfire risk assessment. Environ. Model. Softw. 160: 105590 (2023)
• 
  Saurabh Garg, Haoyao Ruan, Ghassan Hamarneh, Dawn M. Behne, Allard Jongman, Joan A. Sereno, Yue Wang:
  Mouth2Audio: intelligible audio synthesis from videos with distinctive vowel articulation. Int. J. Speech Technol. 26(on): 459-474 (2023)
• 
  Aditya Dixit, Anup Kumar Gupta, Puneet Gupta, Saurabh Srivastava, Ankur Garg:
  UNFOLD: 3-D U-Net, 3-D CNN, and 3-D Transformer-Based Hyperspectral Image Denoising. IEEE Trans. Geosci. Remote. Sens. 61: 1-10 (2023)
• 
  Md Anwarul Kaium Patwary, Saurabh Garg, Sudheer Kumar Battula, Byeong Kang:
  SDP: Scalable Real-Time Dynamic Graph Partitioner. IEEE Trans. Serv. Comput. 16(1): 564-574 (2023)
• 
  Kundan Krishna, Saurabh Garg, Jeffrey P. Bigham, Zachary C. Lipton:
  Downstream Datasets Make Surprisingly Good Pretraining Corpora. ACL (1) 2023: 12207-12222
• 
  Oggi Rudovic, Wonil Chang, Vineet Garg, Pranay Dighe, Pramod Simha, Jack Berkowitz, Ahmed Hussen Abdelaziz, Sachin Kajarekar, Erik Marchi, Saurabh Adya:
  Less Is More: A Unified Architecture for Device-Directed Speech Detection with Multiple Invocation Types. ICASSP 2023: 1-5
• 
  Logeshwaran Jaganathan, Saurabh Singhal, Amit Garg:
  MultiResolution 3D Magnetic Resonance Imaging Analysis for Prostate Cancer Imaging. ICIMMI 2023: 24:1-24:6
• 
  Gal Kaplun, Nikhil Ghosh, Saurabh Garg, Boaz Barak, Preetum Nakkiran:
  Deconstructing Distributions: A Pointwise Framework of Learning. ICLR 2023
• 
  Zachary Novack, Simran Kaur, Tanya Marwah, Saurabh Garg, Zachary Chase Lipton:
  Disentangling the Mechanisms Behind Implicit Regularization in SGD. ICLR 2023
• 
  Saurabh Garg, Nick Erickson, James Sharpnack, Alex Smola, Sivaraman Balakrishnan, Zachary Chase Lipton:
  RLSbench: Domain Adaptation Under Relaxed Label Shift. ICML 2023: 10879-10928
• 
  Zachary Novack, Julian J. McAuley, Zachary Chase Lipton, Saurabh Garg:
  CHiLS: Zero-Shot Image Classification with Hierarchical Label Sets. ICML 2023: 26342-26362
• 
  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
• 
  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
• 
  Elan Rosenfeld, Saurabh Garg:
  (Almost) Provable Error Bounds Under Distribution Shift via Disagreement Discrepancy. NeurIPS 2023
• 
  Zhiqiang Huang, Saurabh Kumar Garg, Wenli Yang, Ankur Lohachab, Muhammad Bilal Amin, Byeong Ho Kang:
  BoCB: Performance Benchmarking by Analysing Impacts of Cloud Platforms on Consortium Blockchain. PKAW 2023: 43-57
• 
  Zachary Novack, Saurabh Garg, Julian J. McAuley, Zachary C. Lipton:
  CHiLS: Zero-Shot Image Classification with Hierarchical Label Sets. CoRR abs/2302.02551 (2023)
• 
  Saurabh Garg, Nick Erickson, James Sharpnack, Alex Smola, Sivaraman Balakrishnan, Zachary C. Lipton:
  RLSbench: Domain Adaptation Under Relaxed Label Shift. CoRR abs/2302.03020 (2023)
• 
  Renjie Li, Chun Yu Lao, Rebecca J. St. George, Katherine Lawler, Saurabh Garg, Son N. Tran, Quan Bai, Jane E. Alty:
  Rapid-Motion-Track: Markerless Tracking of Fast Human Motion with Deeper Learning. CoRR abs/2302.08505 (2023)
• 
  Sudheer Kumar Battula, Saurabh Kumar Garg, James Montgomery, Ranesh Naha:
  Fog Device-as-a-Service (FDaaS): A Framework for Service Deployment in Public Fog Environments. CoRR abs/2304.01915 (2023)

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