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Vishnu Lokhande
Vishnu Lokhande
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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
452019
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
392020
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
312020
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
312014
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
82020
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
72022
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
72021
Learning Invariant Representations using Inverse Contrastive Loss
AK Akash, VS Lokhande, SN Ravi, V Singh
arXiv preprint arXiv:2102.08343, 2021
72021
EFFICIENT DISCRETE MULTI-MARGINAL OPTIMAL TRANSPORT REGULARIZATION
R Mehta, J Kline, VS Lokhande, G Fung, V Singh
OpenReview. net, 2023
62023
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
42019
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
32022
Active Learning with Importance Sampling
MS Pydi, VS Lokhande
arXiv preprint arXiv:1910.04371, 2019
32019
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
12021
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
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Artikelen 1–20