Is your benchmark truly adversarial? AdvScore: Evaluating Human-Grounded Adversarialness.
Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies, 2025
Do great minds think alike? Investigating Human-AI Complementarity in Question Answering with CAIMIRA.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024
A stock market trading framework based on deep learning architectures.
Multim. Tools Appl., 2022
MetaDIP: Accelerating Deep Image Prior with Meta Learning.
CoRR, 2022
Investigating Information Inconsistency in Multilingual Open-Domain Question Answering.
CoRR, 2022
Toward Efficient Robust Training against Union of $\ell_p$ Threat Models.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
Towards Deconfounding the Influence of Subject's Demographic Characteristics in Question Answering.
CoRR, 2021
Toward Deconfounding the Effect of Entity Demographics for Question Answering Accuracy.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021
MATE: Multi-view Attention for Table Transformer Efficiency.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021
Unsupervised Feature Learning of Human Actions As Trajectories in Pose Embedding Manifold.
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.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019
BiHMP-GAN: Bidirectional 3D Human Motion Prediction GAN.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019