| GLUE: A multi-task benchmark and analysis platform for natural language understanding A Wang, A Singh, J Michael, F Hill, O Levy, SR Bowman Proceedings of ICLR, 2019 | 4574 | 2019 |
| Superglue: A stickier benchmark for general-purpose language understanding systems A Wang*, Y Pruksachatkun*, N Nangia*, A Singh*, J Michael, F Hill, ... arXiv preprint arXiv:1905.00537, 2019 | 1342 | 2019 |
| Neural network acceptability judgments A Warstadt, A Singh, SR Bowman Transactions of the Association for Computational Linguistics 7, 625-641, 2019 | 845 | 2019 |
| A review of supervised machine learning algorithms A Singh, N Thakur, A Sharma 2016 3rd International Conference on Computing for Sustainable Global …, 2016 | 649 | 2016 |
| Towards VQA Models That Can Read A Singh, V Natarajan, M Shah, Y Jiang, X Chen, D Batra, D Parikh, ... Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2019 | 333 | 2019 |
| MMF: A multimodal framework for vision and language research A Singh, V Goswami, V Natarajan, Y Jiang, X Chen, M Shah, M Rohrbach, ... | 306* | 2020 |
| The hateful memes challenge: Detecting hate speech in multimodal memes D Kiela, H Firooz, A Mohan, V Goswami, A Singh, P Ringshia, ... Advances in Neural Information Processing Systems 33, 2611-2624, 2020 | 277 | 2020 |
| Unit: Multimodal multitask learning with a unified transformer R Hu, A Singh Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021 | 218* | 2021 |
| Learning when to communicate at scale in multiagent cooperative and competitive tasks A Singh, T Jain, S Sukhbaatar arXiv preprint arXiv:1812.09755, 2018 | 213 | 2018 |
| Bloom: A 176b-parameter open-access multilingual language model TL Scao, A Fan, C Akiki, E Pavlick, S Ilić, D Hesslow, R Castagné, ... arXiv preprint arXiv:2211.05100, 2022 | 199 | 2022 |
| Flava: A foundational language and vision alignment model A Singh, R Hu, V Goswami, G Couairon, W Galuba, M Rohrbach, D Kiela Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 195 | 2022 |
| Dynabench: Rethinking benchmarking in NLP D Kiela, M Bartolo, Y Nie, D Kaushik, A Geiger, Z Wu, B Vidgen, G Prasad, ... arXiv preprint arXiv:2104.14337, 2021 | 175 | 2021 |
| Iterative answer prediction with pointer-augmented multimodal transformers for textvqa R Hu, A Singh, T Darrell, M Rohrbach Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020 | 149 | 2020 |
| Textcaps: a dataset for image captioning with reading comprehension O Sidorov, R Hu, M Rohrbach, A Singh Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020 | 117 | 2020 |
| Winoground: Probing vision and language models for visio-linguistic compositionality T Thrush, R Jiang, M Bartolo, A Singh, A Williams, D Kiela, C Ross Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 80 | 2022 |
| Learning dynamics model in reinforcement learning by incorporating the long term future NR Ke, A Singh, A Touati, A Goyal, Y Bengio, D Parikh, D Batra arXiv preprint arXiv:1903.01599, 2019 | 67* | 2019 |
| Textocr: Towards large-scale end-to-end reasoning for arbitrary-shaped scene text A Singh, G Pang, M Toh, J Huang, W Galuba, T Hassner Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2021 | 56 | 2021 |
| Seeing the un-scene: Learning amodal semantic maps for room navigation M Narasimhan, E Wijmans, X Chen, T Darrell, D Batra, D Parikh, A Singh Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020 | 41 | 2020 |
| Are we pretraining it right? digging deeper into visio-linguistic pretraining A Singh, V Goswami, D Parikh arXiv preprint arXiv:2004.08744, 2020 | 39* | 2020 |
| The hateful memes challenge: Competition report D Kiela, H Firooz, A Mohan, V Goswami, A Singh, CA Fitzpatrick, P Bull, ... NeurIPS 2020 Competition and Demonstration Track, 344-360, 2021 | 37 | 2021 |
Samuel R. BowmanAssociate Professor, NYUVerified email at nyu.edu
