| Revisiting self-distillation M Pham, M Cho, A Joshi, C Hegde arXiv preprint arXiv:2206.08491, 2022 | 16 | 2022 |
| Toward better speaker embeddings: Automated collection of speech samples from unknown distinct speakers M Pham, Z Li, J Whitehill ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and …, 2020 | 8 | 2020 |
| How does label noise affect the quality of speaker embeddings? M Pham, Z Li, J Whitehill INTERSPEECH, 3216-3220, 2020 | 7 | 2020 |
| Circumventing concept erasure methods for text-to-image generative models M Pham, KO Marshall, N Cohen, G Mittal, C Hegde The Twelfth International Conference on Learning Representations, 2023 | 6 | 2023 |
| Robust Concept Erasure Using Task Vectors M Pham, KO Marshall, C Hegde, N Cohen arXiv preprint arXiv:2404.03631, 2024 | 2 | 2024 |
| Distributionally robust classification on a data budget B Feuer, A Joshi, M Pham, C Hegde arXiv preprint arXiv:2308.03821, 2023 | 2 | 2023 |
| Zeroforge: Feedforward text-to-shape without 3d supervision KO Marshall, M Pham, A Joshi, A Jignasu, A Balu, AKC Hegde arXiv preprint arXiv:2306.08183, 2023 | 1 | 2023 |
| Smooth-Reduce: Leveraging Patches for Improved Certified Robustness A Joshi, M Pham, M Cho, L Boytsov, F Condessa, JZ Kolter, C Hegde | 1 | 2022 |
| DIMAT: Decentralized Iterative Merging-And-Training for Deep Learning Models N Saadati, M Pham, N Saleem, JR Waite, A Balu, Z Jiang, C Hegde, ... Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024 | | 2024 |
Chinmay HegdeNew York UniversityVerified email at nyu.edu
