| Submodular Optimization-based Diverse Paraphrasing and its Effectiveness in Data Augmentation A Kumar, S Bhattamishra, M Bhandari, P Talukdar North American Chapter of the Association for Computational Linguistics …, 2019 | 136 | 2019 |
| Syntax-guided Controlled Generation of Paraphrases A Kumar, K Ahuja, R Vadapalli, P Talukdar Transactions of the Association for Computational Linguistics 8, 2020 | 97 | 2020 |
| Nl-augmenter: A framework for task-sensitive natural language augmentation KD Dhole, V Gangal, S Gehrmann, A Gupta, Z Li, S Mahamood, ... arXiv preprint arXiv:2112.02721, 2021 | 77 | 2021 |
| ecommercegan: A generative adversarial network for e-commerce A Kumar, A Biswas, S Sanyal International Conference on Learning Representations (ICLR 2018) - Workshop, 2018 | 42 | 2018 |
| Striking a Balance: Alleviating Inconsistency in Pre-trained Models for Symmetric Classification Tasks A Kumar, A Joshi Findings of the Association of Computational Linguistics, 2022 | 9 | 2022 |
| Discovering Non-Monotonic Autoregressive Ordering for Text Generation Models using Sinkhorn Distributions A Kumar https://iclr-blog-track.github.io/2022/03/25/non-monotonic-autoregressive …, 2022 | | 2022 |
Partha TalukdarGoogle Research and IISc BangaloreE-mail megerősítve itt: iisc.ac.in