Explicitly imposing constraints in deep networks via conditional gradients gives improved generalization and faster convergence SN Ravi, T Dinh, VS Lokhande, V Singh Proceedings of the AAAI Conference on Artificial Intelligence 33 (01), 4772-4779, 2019 | 72* | 2019 |
Explicitly imposing constraints in deep networks via conditional gradients gives improved generalization and faster convergence SN Ravi, T Dinh, VS Lokhande, V Singh Proceedings of the AAAI Conference on Artificial Intelligence 33 (01), 4772-4779, 2019 | 45 | 2019 |
Generating accurate pseudo-labels in semi-supervised learning and avoiding overconfident predictions via hermite polynomial activations VS Lokhande, S Tasneeyapant, A Venkatesh, SN Ravi, V Singh Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020 | 39 | 2020 |
Fairalm: Augmented lagrangian method for training fair models with little regret VS Lokhande, AK Akash, SN Ravi, V Singh European Conference on Computer Vision, 365-381, 2020 | 31 | 2020 |
Motor imagery EEG signal classification on DWT and crosscorrelated signal features NK Verma, LSVS Rao, SK Sharma 2014 9th International Conference on Industrial and Information Systems …, 2014 | 31 | 2014 |
Accelerating column generation via flexible dual optimal inequalities with application to entity resolution VS Lokhande, S Wang, M Singh, J Yarkony Proceedings of the AAAI Conference on Artificial Intelligence 34 (02), 1593-1602, 2020 | 8 | 2020 |
Towards group robustness in the presence of partial group labels VS Lokhande, K Sohn, J Yoon, M Udell, CY Lee, T Pfister arXiv preprint arXiv:2201.03668, 2022 | 7 | 2022 |
Graph reparameterizations for enabling 1000+ Monte Carlo iterations in Bayesian deep neural networks J Nazarovs, RR Mehta, VS Lokhande, V Singh Uncertainty in Artificial Intelligence, 118-128, 2021 | 7 | 2021 |
Learning Invariant Representations using Inverse Contrastive Loss AK Akash, VS Lokhande, SN Ravi, V Singh arXiv preprint arXiv:2102.08343, 2021 | 7 | 2021 |
EFFICIENT DISCRETE MULTI-MARGINAL OPTIMAL TRANSPORT REGULARIZATION R Mehta, J Kline, VS Lokhande, G Fung, V Singh OpenReview. net, 2023 | 6 | 2023 |
End-to-end training of CNN-CRF via differentiable dual-decomposition S Wang, V Lokhande, M Singh, K Kording, J Yarkony arXiv preprint arXiv:1912.02937, 2019 | 4 | 2019 |
Equivariance allows handling multiple nuisance variables when analyzing pooled neuroimaging datasets VS Lokhande, R Chakraborty, SN Ravi, V Singh Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 3 | 2022 |
Active Learning with Importance Sampling MS Pydi, VS Lokhande arXiv preprint arXiv:1910.04371, 2019 | 3 | 2019 |
Machine Learning Systems and Methods for Performing Entity Resolution Using a Flexible Minimum Weight Set Packing Framework VSRS Lokhande, S Wang, MK Singh, J Yarkony US Patent App. 17/018,552, 2021 | 1 | 2021 |
Pooling Image Datasets With Multiple Covariate Shift and Imbalance SP Chytas, VS Lokhande, P Li, V Singh arXiv preprint arXiv:2403.02598, 2024 | | 2024 |
Pooling Image Datasets With Multiple Covariate Shift and Imbalance S Panagiotis Chytas, VS Lokhande, P Li, V Singh arXiv e-prints, arXiv: 2403.02598, 2024 | | 2024 |
Training system for artificial neural networks having a global weight constrainer SN Ravi, TQ Dinh, VSRS Lokhande, V Singh US Patent 11,526,760, 2022 | | 2022 |
Pooling CSF Measurements Across Multiple Cohorts in the Preclinical Alzheimer's Consortium VS Lokhande, J Wang, A Soldan, C Pettigrew, A Moghekar, JC Morris, ... Alzheimer's & Dementia 18, e067977, 2022 | | 2022 |
Constrained harmonization algorithm for pooling multi‐site datasets VS Lokhande, A Mishra, K Diers, E Düzel, M Reuter, BB Bendlin, V Singh Alzheimer's & Dementia 17, e056234, 2021 | | 2021 |
Invariant Learning with Partial Group Labels VS Lokhande, K Sohn, J Yoon, M Udell, CY Lee, T Pfister | | 2021 |