| 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 | 53* | 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 | 31 | 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 | 22 | 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 | 21 | 2014 |
| 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 | 11 | 2020 |
| 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 | 6 | 2020 |
| 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 | 2 | 2021 |
| Active Learning with Importance Sampling MS Pydi, VS Lokhande arXiv preprint arXiv:1910.04371, 2019 | 2 | 2019 |
| Learning Invariant Representations using Inverse Contrastive Loss AK Akash, VS Lokhande, SN Ravi, V Singh arXiv preprint arXiv:2102.08343, 2021 | 1 | 2021 |
| 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 | 1 | 2019 |
| 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 | | 2022 |
| 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 | | 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 |
| Training System for Artificial Neural Networks Having a Global Weight Constrainer SN Ravi, TQ Dinh, VSRS Lokhande, V Singh US Patent App. 16/186,121, 2020 | | 2020 |
| FairALM: Augmented Lagrangian Method for Training Fair Models with Little Regret SUPPLEMENTARYMATERIAL VS Lokhande, AK Akash, SN Ravi, V Singh | | |
| Object Recognition and Object Counting using CNNs LSVS Rao, S Kataria | | |
