| Few-shot classification with feature map reconstruction networks D Wertheimer, L Tang, B Hariharan Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2021 | 215 | 2021 |
| Few-shot learning with localization in realistic settings D Wertheimer, B Hariharan Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2019 | 147 | 2019 |
| Revisiting pose-normalization for fine-grained few-shot recognition L Tang, D Wertheimer, B Hariharan Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020 | 52 | 2020 |
| Augmentation-interpolative autoencoders for unsupervised few-shot image generation D Wertheimer, O Poursaeed, B Hariharan arXiv preprint arXiv:2011.13026, 2020 | 6 | 2020 |
| NorBERT: NetwOrk Representations Through BERT for Network Analysis & Management F Le, D Wertheimer, S Calo, E Nahum 2022 30th International Symposium on Modeling, Analysis, and Simulation of …, 2022 | 3 | 2022 |
| Few-shot learning in long-tailed settings D Wertheimer, L Tang, D Baijal, P Mittal, A Talwar, B Hariharan | 1 | |
| SudokuSens: Enhancing Deep Learning Robustness for IoT Sensing Applications using a Generative Approach T Wang, J Li, R Wang, D Kara, S Liu, D Wertheimer, A Viros-i-Martin, ... arXiv preprint arXiv:2402.02275, 2024 | | 2024 |
| Using Large Scale Language Models for Enabling NLP Abilities Within Earth Sciences M Ramasubramanian, I Gurung, R Ramachandran, M Maskey, RK Ganti, ... AGU Fall Meeting Abstracts 2022, IN16A-08, 2022 | | 2022 |
| HLSTimeSformer: A Self-Supervised Approach to Analyze Geospatial Imagery RK Ganti, A Hoque, D Wertheimer, M Srivatsa, L Chu AGU Fall Meeting Abstracts 2022, IN32D-0402, 2022 | | 2022 |
| Diagnosing and Remedying Shot Sensitivity with Cosine Few-Shot Learners D Wertheimer, L Tang, B Hariharan arXiv preprint arXiv:2207.03398, 2022 | | 2022 |
| Improving Flexibility and Performance in Metric-Based Few-Shot Classification DW Wertheimer Cornell University, 2022 | | 2022 |
