| Jumping through local minima: Quantization in the loss landscape of vision transformers N Frumkin, D Gope, D Marculescu Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023 | 19 | 2023 |
| MobileTL: on-device transfer learning with inverted residual blocks HY Chiang, N Frumkin, F Liang, D Marculescu Proceedings of the AAAI Conference on Artificial Intelligence 37 (6), 7166-7174, 2023 | 14 | 2023 |
| Privacy-preserving indoor localization via active scene illumination J Zhao, N Frumkin, J Konrad, P Ishwar Proceedings of the IEEE conference on computer vision and pattern …, 2018 | 13 | 2018 |
| CNN-based indoor occupant localization via active scene illumination J Zhao, N Frumkin, P Ishwar, J Konrad 2019 IEEE International Conference on Image Processing (ICIP), 2636-2640, 2019 | 7 | 2019 |
| RL-Tune: A Deep Reinforcement Learning Assisted Layer-wise Fine-Tuning Approach for Transfer Learning T Mahmud, N Frumkin, D Marculescu First Workshop on Pre-training: Perspectives, Pitfalls, and Paths Forward at …, 2022 | 4 | 2022 |
| Quamba: A post-training quantization recipe for selective state space models HY Chiang, CC Chang, N Frumkin, KC Wu, D Marculescu arXiv preprint arXiv:2410.13229, 2024 | 1 | 2024 |
| CPT-V: A contrastive approach to post-training quantization of vision transformers N Frumkin, D Gope, D Marculescu arXiv preprint arXiv:2211.09643, 2022 | 1 | 2022 |
Diana MarculescuThe University of Texas at AustinBestätigte E-Mail-Adresse bei utexas.edu