Saurabh Garg

Cituota

	Visi	Nuo 2020
Šaltiniai	1148	1092
h-rodyklė	18	17
i10-rodyklė	24	24

460

230

115

345

20172018201920202021202220232024202510 21 22 33 63 146 275 449 123

Viešas pasiekiamumas

Peržiūrėti viską

9 straipsniai

1 straipsnis

pasiekiami

nepasiekiami

Pagal finansavimo įpareigojimus

Bendraautoriai

Zachary C. LiptonRaj Reddy Associate Professor of Machine Learning @ Carnegie Mellon University; CTO + CSO @ AbridgePatvirtintas el. paštas cmu.edu
Sivaraman BalakrishnanCarnegie Mellon UniversityPatvirtintas el. paštas stat.cmu.edu
Alex SmolaBoson AIPatvirtintas el. paštas smola.org
Zico KolterCarnegie Mellon UniversityPatvirtintas el. paštas cs.cmu.edu
Amrith SetlurMachine Learning Department, CMUPatvirtintas el. paštas cs.cmu.edu
Preethi JyothiAssociate Professor of Computer Science and Engineering, Indian Institute of Technology BombayPatvirtintas el. paštas cse.iitb.ac.in
Hanie SedghiStaff Research Scientist, Google DeepMindPatvirtintas el. paštas google.com
Behnam NeyshaburMember of Technical Staff, AnthropicPatvirtintas el. paštas anthropic.com
Soumen ChakrabartiIIT BombayPatvirtintas el. paštas cse.iitb.ac.in
James SharpnackUC Davis Statistics DepartmentPatvirtintas el. paštas ucdavis.edu
Fartash FaghriApple ML ResearchPatvirtintas el. paštas cs.toronto.edu
Mehrdad FarajtabarResearch Scientist at ApplePatvirtintas el. paštas apple.com
Vaishaal ShankarApplePatvirtintas el. paštas apple.com
Oncel TuzelApplePatvirtintas el. paštas apple.com
Kundan KrishnaCarnegie Mellon UniversityPatvirtintas el. paštas andrew.cmu.edu
Nikhil GhoshUniversity of California, BerkeleyPatvirtintas el. paštas berkeley.edu
Boaz BarakHarvard UniversityPatvirtintas el. paštas boazbarak.org
Preetum NakkiranApple ML ResearchPatvirtintas el. paštas cs.harvard.edu
Aditi RaghunathanAssistant professor, Carnegie Mellon UniversityPatvirtintas el. paštas cmu.edu
Ruslan SalakhutdinovUPMC Professor, Machine Learning Department, CMUPatvirtintas el. paštas cs.cmu.edu

Stebėti

Saurabh Garg

Mistral AI | Past: CMU ML PhD

Patvirtintas el. paštas andrew.cmu.edu - Pagrindinis puslapis


Pavadinimas Rūšiuoti pagal šaltinius Rūšiuoti pagal metus Rūšiuoti pagal pavadinimą	Cituota Cituota	Metai
A Unified View of Label Shift Estimation S Garg, Y Wu, S Balakrishnan, ZC Lipton Advances in Neural Information Processing Systems (NeurIPS) 2020, 2020	183	2020
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	156	2022
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	87	2023
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	69	2021
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	54	2018
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	47	2018
Characterizing Datapoints via Second-Split Forgetting P Maini, S Garg, ZC Lipton, JZ Kolter Advances in Neural Information Processing (NeurIPS) 2022, 2022	42	2022
Pixtral 12B P Agrawal, S Antoniak, EB Hanna, B Bout, D Chaplot, J Chudnovsky, ... arXiv preprint arXiv:2410.07073, 2024	41	2024
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	41	2015
Domain adaptation under open set label shift S Garg, S Balakrishnan, ZC Lipton Advances in Neural Information Processing (NeurIPS) 2022, 2022	40	2022
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	32	2021
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	31	2025
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	29	2023
Downstream datasets make surprisingly good pretraining corpora K Krishna, S Garg, JP Bigham, ZC Lipton Association for Computational Linguistics (ACL), 2023, 2022	24	2022
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	23	2022
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	16	2019
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	14	2023

Sistema negali atlikti operacijos. Bandykite vėliau dar kartą.

Straipsniai 1–20

Šaltinių per metus

Dubliuoti šaltiniai

Sujungti šaltiniai

Pridėti bendraautoriusBendraautoriai

Stebėti

Cituota

Bendraautoriai