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Saurabh Garg
Saurabh Garg
Mistral AI | Past: CMU ML PhD
Overená e-mailová adresa na: andrew.cmu.edu - Domovská stránka
Názov
Citované v
Citované v
Rok
A Unified View of Label Shift Estimation
S Garg, Y Wu, S Balakrishnan, ZC Lipton
Advances in Neural Information Processing Systems (NeurIPS) 2020, 2020
1832020
Leveraging Unlabeled Data to Predict Out-of-Distribution Performance
S Garg, S Balakrishnan, ZC Lipton, B Neyshabur, H Sedghi
International Conference on Machine Learning (ICLR), 2022, 2022
1562022
Datacomp-lm: In search of the next generation of training sets for language models
J Li, A Fang, G Smyrnis, M Ivgi, M Jordan, SY Gadre, H Bansal, E Guha, ...
Advances in Neural Information Processing Systems 37, 14200-14282, 2025
92*2025
Chils: Zero-shot image classification with hierarchical label sets
Z Novack, J McAuley, ZC Lipton, S Garg
International Conference of Machine Learning (ICML) 2023, 2023
872023
Mixture Proportion Estimation and PU Learning:A Modern Approach
S Garg, Y Wu, A Smola, S Balakrishnan, ZC Lipton
Advances in Neural Information Processing (NeurIPS) 2021, Spotlight, 2021
692021
Neural Architecture for Question Answering Using a Knowledge Graph and Web Corpus
U Sawant, S Garg, S Chakrabarti, G Ramakrishnan
Information Retrieval Journal, 2019, 2018
542018
Code-switched language models using dual rnns and same-source pretraining
S Garg, T Parekh, P Jyothi
Empirical Methods in Natural Language Processing (EMNLP), 2018, 2018
472018
Characterizing Datapoints via Second-Split Forgetting
P Maini, S Garg, ZC Lipton, JZ Kolter
Advances in Neural Information Processing (NeurIPS) 2022, 2022
422022
Pixtral 12B
P Agrawal, S Antoniak, EB Hanna, B Bout, D Chaplot, J Chudnovsky, ...
arXiv preprint arXiv:2410.07073, 2024
412024
A testbed for SCADA cyber security and intrusion detection
P Singh, S Garg, V Kumar, Z Saquib
2015 International Conference on Cyber Security of Smart Cities, Industrial …, 2015
412015
Domain adaptation under open set label shift
S Garg, S Balakrishnan, ZC Lipton
Advances in Neural Information Processing (NeurIPS) 2022, 2022
402022
RLSbench: Domain Adaptation Under Relaxed Label Shift
S Garg, N Erickson, J Sharpnack, A Smola, S Balakrishnan, ZC Lipton
International Conference of Machine Learning (ICML) 2023, 2023
37*2023
RATT: Leveraging Unlabeled Data to Guarantee Generalization
S Garg, S Balakrishnan, JZ Kolter, ZC Lipton
International Conference on Machine Learning (ICML) 2021, Oral, 2021
322021
Rl on incorrect synthetic data scales the efficiency of llm math reasoning by eight-fold
A Setlur, S Garg, X Geng, N Garg, V Smith, A Kumar
Advances in Neural Information Processing Systems 37, 43000-43031, 2025
312025
Tic-clip: Continual training of clip models
S Garg, M Farajtabar, H Pouransari, R Vemulapalli, S Mehta, O Tuzel, ...
arXiv preprint arXiv:2310.16226, 2023
292023
Downstream datasets make surprisingly good pretraining corpora
K Krishna, S Garg, JP Bigham, ZC Lipton
Association for Computational Linguistics (ACL), 2023, 2022
242022
Deconstructing distributions: A pointwise framework of learning
G Kaplun, N Ghosh, S Garg, B Barak, P Nakkiran
International Conference on Learning Representations (ICLR) 2023, 2022
232022
Dual Language Models for Code Mixed Speech Recognition
S Garg, T Parekh, P Jyothi
Proceedings of Interspeech 2018 (19th Annual Conference of ISCA), 2018
22*2018
Estimating uncertainty in MRF-based image segmentation: A perfect-MCMC approach
SP Awate, S Garg, R Jena
Medical image analysis (MedIA) 55, 181-196, 2019
162019
Complementary Benefits of Contrastive Learning and Self-Training Under Distribution Shift
S Garg, A Setlur, ZC Lipton, S Balakrishnan, V Smith, A Raghunathan
Advances in Neural Information Processing Systems (NeurIPS), 2023, 2023
142023
Systém momentálne nemôže vykonať operáciu. Skúste to neskôr.
Články 1–20