Supervised contrastive learning P Khosla, P Teterwak, C Wang, A Sarna, Y Tian, P Isola, A Maschinot, ... Advances in neural information processing systems 33, 18661-18673, 2020 | 4370 | 2020 |
Extracting resource needs and availabilities from microblogs for aiding post-disaster relief operations M Basu, A Shandilya, P Khosla, K Ghosh, S Ghosh IEEE Transactions on Computational Social Systems 6 (3), 604-618, 2019 | 70 | 2019 |
Microblog retrieval for post-disaster relief: Applying and comparing neural ir models P Khosla, M Basu, K Ghosh, S Ghosh arXiv preprint arXiv:1707.06112, 2017 | 28 | 2017 |
Supervised contrastive learning with multiple positive examples D Krishnan, P Khosla, P Teterwak, AY Sarna, AJ Maschinot, C Liu, ... US Patent 11,347,975, 2022 | 2 | 2022 |
Supervised Contrastive Learning with Multiple Positive Examples D Krishnan, P Khosla, P Teterwak, AY Sarna, AJ Maschinot, C Liu, ... US Patent App. 17/920,623, 2023 | | 2023 |
Sparsification for fast algorithms P Khosla | | 2018 |
POLICY DRIVEN GENERATIVE ADVERSARIAL NETWORKS FOR ACCENTED SPEECH GENERATION P Khosla, P Jyothi, VP Namboodiri, M Srinivasan | | 2018 |
Abdelzaher, TF, see Peng, D.-T., T-SE Dec 97 745-758 Audenaert, K. Clock trees: logical clocks for programs with nested parallelism; T-SE Oct 97 646-658 VR Basili, D Batory, D Binkley, B Bloom, LC Briand, A Burns, C Wang, ... | | |
Supervised Contrastive Learning-Supplementary Material P Khosla, P Teterwak, C Wang, A Sarna, Y Tian, P Isola, A Maschinot, ... | | |