| Remind your neural network to prevent catastrophic forgetting TL Hayes, K Kafle, R Shrestha, M Acharya, C Kanan European conference on computer vision, 466-483, 2020 | 367 | 2020 |
| On the value of out-of-distribution testing: An example of goodhart's law D Teney, E Abbasnejad, K Kafle, R Shrestha, C Kanan, ... Advances in neural information processing systems 33, 407-417, 2020 | 165 | 2020 |
| Answer them all! toward universal visual question answering models R Shrestha, K Kafle, C Kanan Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2019 | 107 | 2019 |
| Answering questions about data visualizations using efficient bimodal fusion K Kafle, R Shrestha, S Cohen, B Price, C Kanan Proceedings of the IEEE/CVF Winter conference on applications of computer …, 2020 | 66 | 2020 |
| A negative case analysis of visual grounding methods for vqa R Shrestha, K Kafle, C Kanan Proceedings of the 58th Annual Meeting of the Association for Computational …, 2020 | 63 | 2020 |
| Challenges and prospects in vision and language research K Kafle, R Shrestha, C Kanan Frontiers in Artificial Intelligence 2, 28, 2019 | 49 | 2019 |
| An investigation of critical issues in bias mitigation techniques R Shrestha, K Kafle, C Kanan Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2022 | 41 | 2022 |
| Occamnets: Mitigating dataset bias by favoring simpler hypotheses R Shrestha, K Kafle, C Kanan European Conference on Computer Vision, 702-721, 2022 | 21 | 2022 |
| Detecting spurious correlations with sanity tests for artificial intelligence guided radiology systems U Mahmood, R Shrestha, DDB Bates, L Mannelli, G Corrias, YE Erdi, ... Frontiers in digital health 3, 671015, 2021 | 19 | 2021 |
| Fairrag: Fair human generation via fair retrieval augmentation R Shrestha, Y Zou, Q Chen, Z Li, Y Xie, S Deng Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024 | 12 | 2024 |
| Revisiting multi-modal llm evaluation J Lu, S Srivastava, J Chen, R Shrestha, M Acharya, K Kafle, C Kanan arXiv preprint arXiv:2408.05334, 2024 | 4 | 2024 |
| Improving multimodal large language models using continual learning S Srivastava, MY Harun, R Shrestha, C Kanan arXiv preprint arXiv:2410.19925, 2024 | 2 | 2024 |
| BloomVQA: Assessing Hierarchical Multi-modal Comprehension Y Gong, R Shrestha, J Claypoole, M Cogswell, A Ray, C Kanan, ... arXiv preprint arXiv:2312.12716, 2023 | | 2023 |
| Towards Bias-Resilient Deep Neural Networks R Shrestha Rochester Institute of Technology, 2023 | | 2023 |
| Are Bias Mitigation Techniques for Deep Learning Effective? R Shrestha, K Kafle, C Kanan arXiv preprint arXiv:2104.00170, 2021 | | 2021 |
| Method for Training Parametric Machine Learning Systems C Kanan, T Hayes, K Kafle, R Shrestha US Patent App. 16/938,035, 2021 | | 2021 |
| Visual Grounding Methods for VQA are Working for the Wrong Reasons! R Shrestha, K Kafle, C Kanan arXiv preprint arXiv:2004.05704, 2020 | | 2020 |
