| 2026 | AAAI | Forget Less by Learning from Parents Through Hierarchical Relationships. | Arjun Ramesh Kaushik, Naresh Kumar Devulapally, Vishnu Suresh Lokhande, Nalini K. Ratha, Venu Govindaraju |
| 2026 | WACV | Forget Less by Learning Together through Concept Consolidation. | Arjun Ramesh Kaushik, Naresh Kumar Devulapally, Vishnu Suresh Lokhande, Nalini K. Ratha, Venu Govindaraju |
| 2025 | ICCV | Your Text Encoder Can Be an Object-Level Watermarking Controller. | Naresh Kumar Devulapally, Mingzhen Huang, Vishal Asnani, Shruti Agarwal, Siwei Lyu, Vishnu Suresh Lokhande |
| 2025 | WACV | Cross-Modal Feature Alignment and MMD Improve Robustness of Prompt Tuning. | Jingchen Sun, Rohan Sharma, Vishnu Suresh Lokhande, Changyou Chen |
| 2024 | ICLR | Pooling Image Datasets with Multiple Covariate Shift and Imbalance. | Sotirios Panagiotis Chytas, Vishnu Suresh Lokhande, Vikas Singh |
| 2023 | ICLR | Efficient Discrete Multi Marginal Optimal Transport Regularization. | Ronak Mehta, Jeffery Kline, Vishnu Suresh Lokhande, Glenn Fung, Vikas Singh |
| 2022 | CVPR | Equivariance Allows Handling Multiple Nuisance Variables When Analyzing Pooled Neuroimaging Datasets. | Vishnu Suresh Lokhande, Rudrasis Chakraborty, Sathya N. Ravi, Vikas Singh |
| 2021 | AAAI | Learning Invariant Representations using Inverse Contrastive Loss. | Aditya Kumar Akash, Vishnu Suresh Lokhande, Sathya N. Ravi, Vikas Singh |
| 2021 | UAI | Graph reparameterizations for enabling 1000+ Monte Carlo iterations in Bayesian deep neural networks. | Jurijs Nazarovs, Ronak R. Mehta, Vishnu Suresh Lokhande, Vikas Singh |
| 2020 | AAAI | Accelerating Column Generation via Flexible Dual Optimal Inequalities with Application to Entity Resolution. | Vishnu Suresh Lokhande, Shaofei Wang, Maneesh Singh, Julian Yarkony |
| 2020 | CVPR | 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 |
| 2020 | ECCV | FairALM: Augmented Lagrangian Method for Training Fair Models with Little Regret. | Vishnu Suresh Lokhande, Aditya Kumar Akash, Sathya N. Ravi, Vikas Singh |
| 2019 | AAAI | 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 |