| MultiWOZ 2.1: A consolidated multi-domain dialogue dataset with state corrections and state tracking baselines M Eric, R Goel, S Paul, A Kumar, A Sethi, P Ku, AK Goyal, S Agarwal, ... arXiv preprint arXiv:1907.01669, 2019 | 525 | 2019 |
| Can adversarial weight perturbations inject neural backdoors S Garg, A Kumar, V Goel, Y Liang Proceedings of the 29th ACM International Conference on Information …, 2020 | 77 | 2020 |
| Ma-dst: Multi-attention-based scalable dialog state tracking A Kumar, P Ku, A Goyal, A Metallinou, D Hakkani-Tur Proceedings of the AAAI conference on artificial intelligence 34 (05), 8107-8114, 2020 | 58 | 2020 |
| Accelerating deep learning inference via freezing A Kumar, A Balasubramanian, S Venkataraman, A Akella 11th USENIX Workshop on Hot Topics in Cloud Computing (HotCloud 19), 2019 | 25 | 2019 |
| Accelerating deep learning inference via learned caches A Balasubramanian, A Kumar, Y Liu, H Cao, S Venkataraman, A Akella arXiv preprint arXiv:2101.07344, 2021 | 13 | 2021 |
| Translating web search queries into natural language questions A Kumar, S Dandapat, S Chordia arXiv preprint arXiv:2002.02631, 2020 | 12 | 2020 |
| Doing more by doing less: how structured partial backpropagation improves deep learning clusters A Kumar, K Subramanian, S Venkataraman, A Akella Proceedings of the 2nd ACM International Workshop on Distributed Machine …, 2021 | 3 | 2021 |
| Predicting brand personality using textual content A Natarajan, NH Chhaya, R Sundararajan, P Prakash, A Kumar, ... US Patent 11,074,595, 2021 | | 2021 |
Dilek Hakkani-TurProfessor of Computer Science, Univ. Illinois Urbana-Champaign在 ieee.org 的电子邮件经过验证
