Learning with feature-dependent label noise: A progressive approach Y Zhang, S Zheng, P Wu, M Goswami, C Chen arXiv preprint arXiv:2103.07756, 2021 | 153 | 2021 |
Error-bounded correction of noisy labels S Zheng, P Wu, A Goswami, M Goswami, D Metaxas, C Chen International Conference on Machine Learning, 11447-11457, 2020 | 129 | 2020 |
A topological filter for learning with label noise P Wu, S Zheng, M Goswami, D Metaxas, C Chen Advances in neural information processing systems 33, 21382-21393, 2020 | 117 | 2020 |
Bloom filters, adaptivity, and the dictionary problem MA Bender, M Farach-Colton, M Goswami, R Johnson, S McCauley, ... 2018 IEEE 59th Annual Symposium on Foundations of Computer Science (FOCS …, 2018 | 59 | 2018 |
Topological detection of trojaned neural networks S Zheng, Y Zhang, H Wagner, M Goswami, C Chen Advances in Neural Information Processing Systems 34, 17258-17272, 2021 | 41 | 2021 |
Pattern-avoiding access in binary search trees P Chalermsook, M Goswami, L Kozma, K Mehlhorn, T Saranurak 2015 IEEE 56th Annual Symposium on Foundations of Computer Science, 410-423, 2015 | 38 | 2015 |
Multi-resolution sketches and locality sensitive hashing for fast trajectory processing M Astefanoaei, P Cesaretti, P Katsikouli, M Goswami, R Sarkar Proceedings of the 26th ACM SIGSPATIAL International Conference on Advances …, 2018 | 30 | 2018 |
Approximate range emptiness in constant time and optimal space M Goswami, A Grønlund, KG Larsen, R Pagh Proceedings of the twenty-sixth annual ACM-SIAM symposium on Discrete …, 2014 | 27 | 2014 |
Stability of sgd: Tightness analysis and improved bounds Y Zhang, W Zhang, S Bald, V Pingali, C Chen, M Goswami Uncertainty in artificial intelligence, 2364-2373, 2022 | 25 | 2022 |
Distance sensitive bloom filters without false negatives M Goswami, R Pagh, F Silvestri, J Sivertsen Proceedings of the Twenty-Eighth Annual ACM-SIAM Symposium on Discrete …, 2017 | 25 | 2017 |
Is random walk truly memoryless—Traffic analysis and source location privacy under random walks R Shi, M Goswami, J Gao, X Gu 2013 Proceedings IEEE INFOCOM, 3021-3029, 2013 | 23 | 2013 |
Topology dependent space filling curves for sensor networks and applications X Ban, M Goswami, W Zeng, X Gu, J Gao 2013 Proceedings IEEE INFOCOM, 2166-2174, 2013 | 22 | 2013 |
Greedy is an almost optimal deque P Chalermsook, M Goswami, L Kozma, K Mehlhorn, T Saranurak Algorithms and Data Structures: 14th International Symposium, WADS 2015 …, 2015 | 17 | 2015 |
The landscape of bounds for binary search trees P Chalermsook, M Goswami, L Kozma, K Mehlhorn, T Saranurak arXiv preprint arXiv:1603.04892, 2016 | 15 | 2016 |
Self-adjusting binary search trees: What makes them tick? P Chalermsook, M Goswami, L Kozma, K Mehlhorn, T Saranurak Algorithms-ESA 2015: 23rd Annual European Symposium, Patras, Greece …, 2015 | 14 | 2015 |
Load balanced short path routing in large-scale wireless networks using area-preserving maps M Goswami, CC Ni, X Ban, J Gao, XD Gu, V Pingali Proceedings of the 15th ACM international symposium on Mobile ad hoc …, 2014 | 12 | 2014 |
Exploration of path space using sensor network geometry R Jiang, X Ban, M Goswami, W Zeng, J Gao, X Gu Proceedings of the 10th ACM/IEEE International Conference on Information …, 2011 | 12 | 2011 |
Multi-finger binary search trees P Chalermsook, M Goswami, L Kozma, K Mehlhorn, T Saranurak arXiv preprint arXiv:1809.01759, 2018 | 10 | 2018 |
Learning to segment from noisy annotations: A spatial correction approach J Yao, Y Zhang, S Zheng, M Goswami, P Prasanna, C Chen arXiv preprint arXiv:2308.02498, 2023 | 9 | 2023 |
The batched predecessor problem in external memory MA Bender, M Farach-Colton, M Goswami, D Medjedovic, P Montes, ... Algorithms-ESA 2014: 22th Annual European Symposium, Wroclaw, Poland …, 2014 | 9 | 2014 |