| Gansynth: Adversarial neural audio synthesis J Engel, KK Agrawal, S Chen, I Gulrajani, C Donahue, A Roberts arXiv preprint arXiv:1902.08710, 2019 | 658 | 2019 |
| Discriminator-actor-critic: Addressing sample inefficiency and reward bias in adversarial imitation learning I Kostrikov, KK Agrawal, D Dwibedi, S Levine, J Tompson arXiv preprint arXiv:1809.02925, 2018 | 392 | 2018 |
| Discrete flows: Invertible generative models of discrete data D Tran, K Vafa, K Agrawal, L Dinh, B Poole Advances in Neural Information Processing Systems 32, 2019 | 159 | 2019 |
| -ReQ: Assessing Representation Quality in Self-Supervised Learning by measuring eigenspectrum decay KK Agrawal, AK Mondal, A Ghosh, BA Richards Advances in Neural Information Processing Systems, 2022 | 58 | 2022 |
| Investigating power laws in deep representation learning A Ghosh, AK Mondal, KK Agrawal, B Richards arXiv preprint arXiv:2202.05808, 2022 | 29 | 2022 |
| Context-aware streaming perception in dynamic environments GE Sela, I Gog, J Wong, KK Agrawal, X Mo, S Kalra, P Schafhalter, ... European Conference on Computer Vision, 621-638, 2022 | 17 | 2022 |
| Addressing sample inefficiency and reward bias in inverse reinforcement learning I Kostrikov, KK Agrawal, S Levine, J Tompson arXiv preprint arXiv:1809.02925 3, 2018 | 16 | 2018 |
| Learning from an exploring demonstrator: Optimal reward estimation for bandits W Guo, KK Agrawal, A Grover, V Muthukumar, A Pananjady arXiv preprint arXiv:2106.14866, 2021 | 15 | 2021 |
| Recurrent Memory Addressing for Describing Videos. AK Jain, A Agarwalla, KK Agrawal, P Mitra CVPR Workshops 7, 1-8, 2017 | 14* | 2017 |
| Gansynth: Adversarial neural audio synthesis. arXiv 2019 J Engel, KK Agrawal, S Chen, I Gulrajani, C Donahue, A Roberts arXiv preprint arXiv:1902.08710, 0 | 14 | |
| Towards mixed optimization for reinforcement learning with program synthesis S Bhupatiraju, KK Agrawal, R Singh arXiv preprint arXiv:1807.00403, 2018 | 11 | 2018 |
| Tracing the representation geometry of language models from pretraining to post-training MZ Li, KK Agrawal, A Ghosh, KK Teru, A Santoro, G Lajoie, BA Richards arXiv preprint arXiv:2509.23024, 2025 | 3 | 2025 |
| Harnessing small projectors and multiple views for efficient vision pretraining A Ghosh, KK Agrawal, S Sodhani, A Oberman, B Richards Advances in Neural Information Processing Systems 37, 39837-39868, 2024 | 3 | 2024 |
| Attribute Diversity Determines the Systematicity Gap in VQA I Berlot-Attwell, AM Carrell, KK Agrawal, Y Sharma, N Saphra Empirical Methods in Natural Language Processing (EMNLP) 2024, 2023 | 3 | 2023 |
| Pillar-0: A new frontier for radiology foundation models KK Agrawal, L Liu, L Lian, M Nercessian, N Harguindeguy, Y Wu, ... arXiv preprint arXiv:2511.17803, 2025 | 2 | 2025 |
| Depth First Learning: Learning to Understand Machine Learning A Oliver, S Bhupatiraju, C Resnick, KK Agrawal | 1 | 2018 |
| RedunCut: Measurement-Driven Sampling and Accuracy Performance Modeling for Low-Cost Live Video Analytics GE Sela, KK Agrawal, B Balaji, J Gonzalez, I Stoica arXiv preprint arXiv:2512.24386, 2025 | | 2025 |
| Pillar-0: A New Frontier for Radiology Foundation Models M Nercessian, KK Agrawal, L Liu, L Lian, N Harguindeguy, Y Wu, ... | | 2025 |
| vAttention: Verified Sparse Attention A Desai, KK Agrawal, S Yang, A Cuadron, LG Schroeder, M Zaharia, ... arXiv preprint arXiv:2510.05688, 2025 | | 2025 |
| Atlas: Multi-Scale Attention Improves Long Context Image Modeling KK Agrawal, L Lian, L Liu, N Harguindeguy, B Li, A Bick, M Chung, ... arXiv preprint arXiv:2503.12355, 2025 | | 2025 |
Arna GhoshMila + McGill UniversityVerified email at mail.mcgill.ca
