Generalization on Unseen Domains via Inference-time Label-Preserving Target Projections P Pandey, M Raman, S Varambally, P Ap Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021 | 42* | 2021 |
Learning Contextualized Knowledge Structures for Commonsense Reasoning J Yan, M Raman, A Chan, T Zhang, R Rossi, H Zhao, S Kim, N Lipka, ... arXiv preprint arXiv:2010.12873, 2020 | 22* | 2020 |
Learning to Deceive Knowledge Graph Augmented Models via Targeted Perturbation M Raman, S Agarwal, P Wang, A Chan, H Wang, S Kim, R Rossi, H Zhao, ... ICLR 2021, 2020 | 17 | 2020 |
Mrigank Raman, Aaron Chan, Tianyu Zhang, Ryan Rossi, Handong Zhao, Sungchul Kim, Nedim Lipka, and Xiang Ren. 2020. Learning contextualized knowledge structures for commonsense … J Yan arXiv preprint arXiv:2010.12873, 0 | 13* | |
Model-tuning Via Prompts Makes NLP Models Adversarially Robust M Raman, P Maini, JZ Kolter, ZC Lipton, D Pruthi arXiv preprint arXiv:2303.07320, 2023 | 5 | 2023 |
For Distillation, Tokens Are Not All You Need M Raman, P Mani, D Liang, Z Lipton NeurIPS 2023 Workshop on Instruction Tuning and Instruction Following, 2023 | 1 | 2023 |
Bridging the Gap: Exploring the Capabilities of Bridge-Architectures for Complex Visual Reasoning Tasks K Rajesh, M Raman, MA Karim, P Chawla arXiv preprint arXiv:2307.16395, 2023 | 1 | 2023 |
Post-Hoc Reversal: Are We Selecting Models Prematurely? R Ranjan, S Garg, M Raman, C Guestrin, ZC Lipton arXiv preprint arXiv:2404.07815, 2024 | | 2024 |
Turn Down the Noise: Leveraging Diffusion Models for Test-time Adaptation via Pseudo-label Ensembling M Raman, R Shah, A Kannan, P Chawla NeurIPS 2023 Workshop on Distribution Shifts: New Frontiers with Foundation …, 2023 | | 2023 |
Centralized active tracking of a Markov chain with unknown dynamics M Raman, O Kumar, A Chattopadhyay IEEE MASS 2020, 2020 | | 2020 |
Generalization on Unseen Domains via Inference-time Label-Preserving Target Projections–Supplementary– P Pandey, M Raman, S Varambally, P AP | | |