| Mutant: A training paradigm for out-of-distribution generalization in visual question answering T Gokhale, P Banerjee, C Baral, Y Yang Proceedings of the 2020 Conference on Empirical Methods in Natural Language …, 2020 | 42 | 2020 |
| VQA-LOL: Visual question answering under the lens of logic T Gokhale, P Banerjee, C Baral, Y Yang European conference on computer vision, 379--396, 2020 | 39 | 2020 |
| Video2commonsense: Generating commonsense descriptions to enrich video captioning Z Fang, T Gokhale, P Banerjee, C Baral, Y Yang Proceedings of the 2020 Conference on Empirical Methods in Natural Language …, 2020 | 26 | 2020 |
| WeaQA: Weak Supervision via Captions for Visual Question Answering P Banerjee, T Gokhale, Y Yang, C Baral Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021 …, 2021 | 12* | 2021 |
| Attribute-Guided Adversarial Training for Robustness to Natural Perturbations T Gokhale, R Anirudh, B Kailkhura, JJ Thiagarajan, C Baral, Y Yang Proceedings of the AAAI Conference on Artificial Intelligence 35 (9), 7574--7582, 2021 | 9 | 2021 |
| Self-Supervised Test-Time Learning for Reading Comprehension P Banerjee, T Gokhale, C Baral Proceedings of the 2021 Conference of the North American Chapter of the …, 2021 | 6 | 2021 |
| Improving Biomedical Information Retrieval with Neural Retrievers M Luo, A Mitra, T Gokhale, C Baral arXiv preprint arXiv:2201.07745, 2022 | 2 | 2022 |
| Cooking With Blocks: A Recipe for Visual Reasoning on Image-Pairs T Gokhale, S Sampat, Z Fang, Y Yang, C Baral Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2019 | 2* | 2019 |
| Generalized but not Robust? Comparing the Effects of Data Modification Methods on Out-of-Domain Generalization and Adversarial Robustness T Gokhale, S Mishra, M Luo, BS Sachdeva, C Baral arXiv preprint arXiv:2203.07653, 2022 | 1 | 2022 |
| Semantically Distributed Robust Optimization for Vision-and-Language Inference T Gokhale, A Chaudhary, P Banerjee, C Baral, Y Yang arXiv preprint arXiv:2110.07165, 2021 | 1 | 2021 |
| Halluci-Net: Scene Completion by Exploiting Object Co-occurrence Relationships K Kulkarni, T Gokhale, R Singh, P Turaga, A Sankaranarayanan CVPR Workshop on AI for Content Creation, 2021 | 1 | 2021 |
| To Find Waldo You Need Contextual Cues: Debiasing Who's Waldo Y Luo, P Banerjee, T Gokhale, Y Yang, C Baral arXiv preprint arXiv:2203.16682, 2022 | | 2022 |
| Unsupervised Natural Language Inference Using PHL Triplet Generation N Varshney, P Banerjee, T Gokhale, C Baral arXiv preprint arXiv:2110.08438, 2021 | | 2021 |
| Weakly Supervised Relative Spatial Reasoning for Visual Question Answering P Banerjee, T Gokhale, Y Yang, C Baral Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021 | | 2021 |
| Vision beyond Pixels: Visual Reasoning via Blocksworld Abstractions T Gokhale Proceedings of the Twenty-Eighth International Joint Conference on …, 2019 | | 2019 |
Chitta BaralProfessor of Computer Science, Arizona State UniversityVerified email at asu.edu
