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Robik Singh Shrestha
Robik Singh Shrestha
g.rit.edu üzerinde doğrulanmış e-posta adresine sahip
Başlık
Alıntı yapanlar
Alıntı yapanlar
Yıl
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
2612020
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
1372020
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
992019
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
482020
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
482020
Challenges and prospects in vision and language research
K Kafle, R Shrestha, C Kanan
Frontiers in Artificial Intelligence 2, 28, 2019
432019
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
292022
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
162021
Occamnets: Mitigating dataset bias by favoring simpler hypotheses
R Shrestha, K Kafle, C Kanan
European Conference on Computer Vision, 702-721, 2022
112022
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
Method for Training Parametric Machine Learning Systems
C Kanan, T Hayes, K Kafle, R Shrestha
US Patent App. 16/938,035, 2021
2021
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