Explicitly Imposing Constraints in Deep Networks via Conditional Gradients Gives Improved Generalization and Faster Convergence. - Sathya N. Ravi; Tuan Dinh; Vishnu Suresh Lokhande; Vikas Singh (AAAI, 2019)

Generating Accurate Pseudo-labels via Hermite Polynomials for SSL Confidently. - Vishnu Suresh Lokhande; Sathya N. Ravi; Songwong Tasneeyapant; Abhay Venkatesh; Vikas Singh (CoRR, 2019)

Active Learning with Importance Sampling. - Muni Sreenivas Pydi; Vishnu Suresh Lokhande (CoRR, 2019)

End-to-end Training of CNN-CRF via Differentiable Dual-Decomposition. - Shaofei Wang; Vishnu Suresh Lokhande; Maneesh Singh 001; Konrad P. Körding; Julian Yarkony (CoRR, 2019)

Accelerating Column Generation via Flexible Dual Optimal Inequalities with Application to Entity Resolution. - Vishnu Suresh Lokhande; Shaofei Wang; Maneesh Singh 001; Julian Yarkony (AAAI, 2020)

Generating Accurate Pseudo-Labels in Semi-Supervised Learning and Avoiding Overconfident Predictions via Hermite Polynomial Activations. - Vishnu Suresh Lokhande; Songwong Tasneeyapant; Abhay Venkatesh; Sathya N. Ravi; Vikas Singh (CVPR, 2020)

FairALM: Augmented Lagrangian Method for Training Fair Models with Little Regret. - Vishnu Suresh Lokhande; Aditya Kumar Akash; Sathya N. Ravi; Vikas Singh (ECCV (12), 2020)

Learning Invariant Representations using Inverse Contrastive Loss. - Aditya Kumar Akash; Vishnu Suresh Lokhande; Sathya N. Ravi; Vikas Singh (AAAI, 2021)

Graph reparameterizations for enabling 1000+ Monte Carlo iterations in Bayesian deep neural networks. - Jurijs Nazarovs; Ronak R. Mehta; Vishnu Suresh Lokhande; Vikas Singh (UAI, 2021)

Equivariance Allows Handling Multiple Nuisance Variables When Analyzing Pooled Neuroimaging Datasets. - Vishnu Suresh Lokhande; Rudrasis Chakraborty; Sathya N. Ravi; Vikas Singh (CVPR, 2022)

Towards Group Robustness in the presence of Partial Group Labels. - Vishnu Suresh Lokhande; Kihyuk Sohn; Jinsung Yoon; Madeleine Udell; Chen-Yu Lee; Tomas Pfister (CoRR, 2022)

Efficient Discrete Multi Marginal Optimal Transport Regularization. - Ronak Mehta; Jeffery Kline; Vishnu Suresh Lokhande; Glenn Fung; Vikas Singh (ICLR, 2023)

Pooling Image Datasets with Multiple Covariate Shift and Imbalance. - Sotirios Panagiotis Chytas; Vishnu Suresh Lokhande; Vikas Singh (ICLR, 2024)

ParallelEdits: Efficient Multi-Aspect Text-Driven Image Editing with Attention Grouping. - Mingzhen Huang; Jialing Cai; Shan Jia; Vishnu Suresh Lokhande; Siwei Lyu (NeurIPS, 2024)

MultiEdits: Simultaneous Multi-Aspect Editing with Text-to-Image Diffusion Models. - Mingzhen Huang; Jialing Cai; Shan Jia; Vishnu Suresh Lokhande; Siwei Lyu (CoRR, 2024)

Craft: Cross-modal Aligned Features Improve Robustness of Prompt Tuning. - Jingchen Sun; Rohan Sharma; Vishnu Suresh Lokhande; Changyou Chen (CoRR, 2024)

Cross-Modal Feature Alignment and MMD Improve Robustness of Prompt Tuning. - Jingchen Sun; Rohan Sharma; Vishnu Suresh Lokhande; Changyou Chen (WACV, 2025)

Your Text Encoder Can Be An Object-Level Watermarking Controller. - Naresh Kumar Devulapally; Mingzhen Huang; Vishal Asnani; Shruti Agarwal; Siwei Lyu; Vishnu Suresh Lokhande (CoRR, 2025)

Is Exchangeability better than I.I.D to handle Data Distribution Shifts while Pooling Data for Data-scarce Medical image segmentation? - Ayush Roy; Samin Enam; Jun Xia; Vishnu Suresh Lokhande; Won Hwa Kim (CoRR, 2025)

Model-Agnostic Gender Bias Control for Text-to-Image Generation via Sparse Autoencoder. - Chao Wu; Zhenyi Wang; Kangxian Xie; Naresh Kumar Devulapally; Vishnu Suresh Lokhande; Mingchen Gao (CoRR, 2025)