| 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 | 73* | 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 | 41 | 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 | 39 | 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 | 33 | 2014 |
| 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 | 12 | 2022 |
| Learning Invariant Representations using Inverse Contrastive Loss AK Akash, VS Lokhande, SN Ravi, V Singh arXiv preprint arXiv:2102.08343, 2021 | 9 | 2021 |
| 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 | 9 | 2020 |
| EFFICIENT DISCRETE MULTI-MARGINAL OPTIMAL TRANSPORT REGULARIZATION R Mehta, J Kline, VS Lokhande, G Fung, V Singh OpenReview. net, 2023 | 6 | 2023 |
| 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 | 6 | 2021 |
| 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 | 5 | 2022 |
| 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 | 5 | 2019 |
| Pooling Image Datasets with Multiple Covariate Shift and Imbalance SP Chytas, VS Lokhande, V Singh The Twelfth International Conference on Learning Representations, 2024 | 3 | 2024 |
| Active Learning with Importance Sampling MS Pydi, VS Lokhande arXiv preprint arXiv:1910.04371, 2019 | 3 | 2019 |
| ParallelEdits: Efficient Multi-Aspect Text-Driven Image Editing with Attention Grouping M Huang, J Cai, S Jia, V Lokhande, S Lyu Advances in Neural Information Processing Systems 37, 22569-22595, 2024 | 2 | 2024 |
| 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 | 2 | 2021 |
| MultiEdits: Simultaneous Multi-Aspect Editing with Text-to-Image Diffusion Models M Huang, J Cai, S Jia, VS Lokhande, S Lyu arXiv e-prints, arXiv: 2406.00985, 2024 | 1 | 2024 |
| 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 |
| Your Text Encoder Can Be An Object-Level Watermarking Controller NK Devulapally, M Huang, V Asnani, S Agarwal, S Lyu, VS Lokhande arXiv preprint arXiv:2503.11945, 2025 | | 2025 |
| Computer Vision Systems and Methods for End-to-End Training of Convolutional Neural Networks Using Differentiable Dual-Decomposition Techniques S Wang, VSRS Lokhande, MK Singh, K Kording, J Yarkony US Patent App. 18/903,493, 2025 | | 2025 |
| Computer vision systems and methods for end-to-end training of convolutional neural networks using differentiable dual-decomposition techniques S Wang, VSRS Lokhande, MK Singh, K Kording, J Yarkony US Patent 12,106,481, 2024 | | 2024 |
