Amanpreet Singh
Amanpreet Singh
Research Engineer, Facebook
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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
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
Neural network acceptability judgments
A Warstadt, A Singh, SR Bowman
Transactions of the Association for Computational Linguistics 7, 625-641, 2019
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
Learning when to communicate at scale in multiagent cooperative and competitive tasks
A Singh, T Jain, S Sukhbaatar
arXiv preprint arXiv:1812.09755, 2018
MMF: A multimodal framework for vision and language research
A Singh, V Goswami, V Natarajan, Y Jiang, X Chen, M Shah, M Rohrbach, ...
The hateful memes challenge: Detecting hate speech in multimodal memes
D Kiela, H Firooz, A Mohan, V Goswami, A Singh, P Ringshia, ...
arXiv preprint arXiv:2005.04790, 2020
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
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
Textcaps: a dataset for image captioning with reading comprehension
O Sidorov, R Hu, M Rohrbach, A Singh
European Conference on Computer Vision, 742-758, 2020
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
Transformer is all you need: Multimodal multitask learning with a unified transformer
R Hu, A Singh
arXiv e-prints, arXiv: 2102.10772, 2021
Are we pretraining it right? digging deeper into visio-linguistic pretraining
A Singh, V Goswami, D Parikh
arXiv preprint arXiv:2004.08744, 2020
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
European Conference on Computer Vision, 513-529, 2020
Affirm or reverse? using machine learning to help judges write opinions
S Agrawal, E Ash, D Chen, SS Gill, A Singh, K Venkatesan
NBER Working Paper, National Bureau of Economic Research, Cambridge, MA, June 29, 2017
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
Human-adversarial visual question answering
S Sheng, A Singh, V Goswami, JAL Magana, T Thrush, W Galuba, ...
Thirty-Fifth Conference on Neural Information Processing Systems, 2021
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
CanvasGAN: A simple baseline for text to image generation by incrementally patching a canvas
A Singh, S Agrawal
Science and Information Conference, 86-98, 2019
Building Recommender Systems with PyTorch
D Mudigere, M Naumov, J Spisak, G Chauhan, N Kokhlikyan, A Singh, ...
Proceedings of the 26th ACM SIGKDD International Conference on Knowledge …, 2020
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