| Training calibration-based counterfactual explainers for deep learning models in medical image analysis JJ Thiagarajan, K Thopalli, D Rajan, P Turaga Scientific reports 12 (1), 597, 2022 | 29 | 2022 |
| Maast: Map attention with semantic transformers for efficient visual navigation Z Seymour, K Thopalli, N Mithun, HP Chiu, S Samarasekera, R Kumar 2021 IEEE international conference on robotics and automation (ICRA), 13223 …, 2021 | 20 | 2021 |
| Perturbation robust representations of topological persistence diagrams A Som, K Thopalli, KN Ramamurthy, V Venkataraman, A Shukla, ... Proceedings of the European Conference on Computer Vision (ECCV), 617-635, 2018 | 19 | 2018 |
| Multiple subspace alignment improves domain adaptation K Thopalli, R Anirudh, JJ Thiagarajan, P Turaga ICASSP 2019-2019 IEEE International Conference on Acoustics, Speech and …, 2019 | 13 | 2019 |
| Improving single-stage object detectors for nighttime pedestrian detection S Devi, K Thopalli, P Malarvezhi, JJ Thiagarajan International Journal of Pattern Recognition and Artificial Intelligence 36 …, 2022 | 11 | 2022 |
| Calibrate and prune: Improving reliability of lottery tickets through prediction calibration B Venkatesh, JJ Thiagarajan, K Thopalli, P Sattigeri arXiv preprint arXiv:2002.03875, 2020 | 11 | 2020 |
| Invenio: Discovering hidden relationships between tasks/domains using structured meta learning S Katoch, K Thopalli, JJ Thiagarajan, P Turaga, A Spanias arXiv preprint arXiv:1911.10600, 2019 | 11 | 2019 |
| Automated movement assessment in stroke rehabilitation T Ahmed, K Thopalli, T Rikakis, P Turaga, A Kelliher, JB Huang, SL Wolf Frontiers in Neurology 12, 720650, 2021 | 9 | 2021 |
| Domain alignment meets fully test-time adaptation K Thopalli, P Turaga, JJ Thiagarajan Asian Conference on Machine Learning, 1006-1021, 2023 | 5 | 2023 |
| Multi-domain ensembles for domain generalization K Thopalli, S Katoch, JJ Thiagarajan, P Turaga, A Spanias Lawrence Livermore National Lab.(LLNL), Livermore, CA (United States), 2021 | 5 | 2021 |
| Improving multi-domain generalization through domain re-labeling K Thopalli, S Katoch, A Spanias, P Turaga, JJ Thiagarajan arXiv preprint arXiv:2112.09802, 2021 | 3 | 2021 |
| SALT: Subspace alignment as an auxiliary learning task for domain adaptation K Thopalli, JJ Thiagarajan, R Anirudh, P Turaga arXiv preprint arXiv:1906.04338, 2019 | 3 | 2019 |
| Target-aware generative augmentations for single-shot adaptation K Thopalli, R Subramanyam, P Turaga, JJ Thiagarajan arXiv preprint arXiv:2305.13284, 2023 | 2 | 2023 |
| The Surprising Effectiveness of Deep Orthogonal Procrustes Alignment in Unsupervised Domain Adaptation K Thopalli, R Anirudh, P Turaga, JJ Thiagarajan IEEE Access 11, 12858-12869, 2023 | 2 | 2023 |
| A hierarchical Bayesian model for cyber-human assessment of rehabilitation movement T Ahmed, T Rikakis, S Zilevu, A Kelliher, K Thopalli, P Turaga, SL Wolf medRxiv, 2022.05. 25.22275480, 2022 | 2 | 2022 |
| Single-Shot Domain Adaptation via Target-Aware Generative Augmentations R Subramanyam, K Thopalli, S Berman, P Turaga, JJ Thiagarajan ICASSP 2023-2023 IEEE International Conference on Acoustics, Speech and …, 2023 | 1 | 2023 |
| InterAug: A Tuning-Free Augmentation Policy for Data-Efficient and Robust Object Detection K Thopalli, JJ Thiagarajan Proceedings of the IEEE/CVF International Conference on Computer Vision, 253-261, 2023 | 1 | 2023 |
| Geometric alignment improves fully test timeadaptation K Thopalli, P Turaga, JJ Thiagarajan Lawrence Livermore National Lab.(LLNL), Livermore, CA (United States), 2022 | 1 | 2022 |
| Revisiting Deep Subspace Alignment for Unsupervised Domain Adaptation K Thopalli, JJ Thiagarajan, R Anirudh, PK Turaga arXiv preprint arXiv:2201.01806, 2022 | 1 | 2022 |
| Automated Domain Discovery from Multiple Sources to Improve Zero-Shot Generalization K Thopalli, S Katoch, P Turaga, JJ Thiagarajan arXiv preprint arXiv:2112.09802, 2021 | 1 | 2021 |
Jayaraman J. ThiagarajanMachine Learning Researcher, Lawrence Livermore National Labs在 asu.edu 的电子邮件经过验证
