| 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 | 132 | 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 | 91 | 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 | 66 | 2020 |
| Benchmarking spatial relationships in text-to-image generation T Gokhale, H Palangi, B Nushi, V Vineet, E Horvitz, E Kamar, C Baral, ... arXiv preprint arXiv:2212.10015, 2022 | 45 | 2022 |
| 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 | 36* | 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 | 34 | 2021 |
| 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 Findings of the Association for Computational Linguistics: ACL 2022, 2705--2718, 2022 | 30 | 2022 |
| Improving biomedical information retrieval with neural retrievers M Luo, A Mitra, T Gokhale, C Baral Proceedings of the AAAI Conference on Artificial Intelligence, 11038--11046, 2022 | 30 | 2022 |
| Improving diversity with adversarially learned transformations for domain generalization T Gokhale, R Anirudh, JJ Thiagarajan, B Kailkhura, C Baral, Y Yang Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2023 | 24 | 2023 |
| 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 | 24 | 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 | 21 | 2021 |
| Semantically Distributed Robust Optimization for Vision-and-Language Inference T Gokhale, A Chaudhary, P Banerjee, C Baral, Y Yang Findings of the Association for Computational Linguistics: ACL 2022, 1493--1513, 2021 | 16 | 2021 |
| 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 | 12* | 2019 |
| CRIPP-VQA: Counterfactual reasoning about implicit physical properties via video question answering M Patel, T Gokhale, C Baral, Y Yang Proceedings of the 2022 Conference on Empirical Methods in Natural Language …, 2022 | 11* | 2022 |
| Unsupervised Natural Language Inference Using PHL Triplet Generation N Varshney, P Banerjee, T Gokhale, C Baral Findings of the Association for Computational Linguistics: ACL 2022, 2003--2016, 2021 | 11 | 2021 |
| End-to-end knowledge retrieval with multi-modal queries M Luo, Z Fang, T Gokhale, Y Yang, C Baral 61st Annual Meeting of the Association for Computational Linguistics, 8573--8589, 2023 | 9 | 2023 |
| Conceptbed: Evaluating concept learning abilities of text-to-image diffusion models M Patel, T Gokhale, C Baral, Y Yang Proceedings of the AAAI Conference on Artificial Intelligence 38 (13), 14554 …, 2024 | 7 | 2024 |
| To Find Waldo You Need Contextual Cues: Debiasing Who's Waldo Y Luo, P Banerjee, T Gokhale, Y Yang, C Baral Proceedings of the 60th Annual Meeting of the Association for Computational …, 2022 | 4 | 2022 |
| 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 | 4 | 2021 |
| Adversarial Bayesian augmentation for single-source domain generalization S Cheng, T Gokhale, Y Yang Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023 | 2 | 2023 |
Chitta BaralProfessor of Computer Science, Arizona State University在 asu.edu 的电子邮件经过验证
