Maharshi Gor

According to our database, Maharshi Gor authored at least 11 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Do great minds think alike? Investigating Human-AI Complementarity in Question Answering with CAIMIRA.

Maharshi Gor, Hal Daumé III, Tianyi Zhou, Jordan L. Boyd-Graber

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

2022

A stock market trading framework based on deep learning architectures.

Atharva Shah, Maharshi Gor, Meet Sagar, Manan Shah

Multim. Tools Appl., 2022

MetaDIP: Accelerating Deep Image Prior with Meta Learning.

Kevin Zhang, Mingyang Xie, Maharshi Gor, Yi-Ting Chen, Yvonne Zhou, Christopher A. Metzler

CoRR, 2022

Investigating Information Inconsistency in Multilingual Open-Domain Question Answering.

Shramay Palta, Haozhe An, Yifan Yang, Shuaiyi Huang, Maharshi Gor

CoRR, 2022

Toward Efficient Robust Training against Union of $\ell_p$ Threat Models.

Gaurang Sriramanan, Maharshi Gor, Soheil Feizi

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

2021

Towards Deconfounding the Influence of Subject's Demographic Characteristics in Question Answering.

Maharshi Gor, Kellie Webster, Jordan L. Boyd-Graber

CoRR, 2021

Toward Deconfounding the Effect of Entity Demographics for Question Answering Accuracy.

Maharshi Gor, Kellie Webster, Jordan L. Boyd-Graber

Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

MATE: Multi-view Attention for Table Transformer Efficiency.

Julian Martin Eisenschlos, Maharshi Gor, Thomas Müller, William W. Cohen

Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

2019

Unsupervised Feature Learning of Human Actions As Trajectories in Pose Embedding Manifold.

Jogendra Nath Kundu, Maharshi Gor, Phani Krishna Uppala, Venkatesh Babu Radhakrishnan

Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2019

GAN-Tree: An Incrementally Learned Hierarchical Generative Framework for Multi-Modal Data Distributions.

Jogendra Nath Kundu, Maharshi Gor, Dakshit Agrawal, Venkatesh Babu Radhakrishnan

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

BiHMP-GAN: Bidirectional 3D Human Motion Prediction GAN.

Jogendra Nath Kundu, Maharshi Gor, R. Venkatesh Babu

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019