Viraj Prabhu
Viraj Prabhu
Research Scientist, Salesforce AI Research
Verified email at - Homepage
Cited by
Cited by
Sentry: Selective entropy optimization via committee consistency for unsupervised domain adaptation
V Prabhu, S Khare, D Kartik, J Hoffman
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021
Active domain adaptation via clustering uncertainty-weighted embeddings
V Prabhu, A Chandrasekaran, K Saenko, J Hoffman
Proceedings of the IEEE/CVF international conference on computer vision …, 2021
Do explanations make VQA models more predictable to a human?
A Chandrasekaran, V Prabhu, D Yadav, P Chattopadhyay, D Parikh
EMNLP 2018, 2018
Evaluating visual conversational agents via cooperative human-ai games
P Chattopadhyay, D Yadav, V Prabhu, A Chandrasekaran, A Das, S Lee, ...
Proceedings of the AAAI Conference on Human Computation and Crowdsourcing 5 …, 2017
Few-shot learning for dermatological disease diagnosis
V Prabhu, A Kannan, M Ravuri, M Chaplain, D Sontag, X Amatriain
Machine Learning for Healthcare Conference, 532-552, 2019
It takes two to tango: Towards theory of AI's mind
A Chandrasekaran, D Yadav, P Chattopadhyay, V Prabhu, D Parikh
Chalearn Looking at People Workshop, CVPR, 2017, 2017
The promise of premise: Harnessing question premises in visual question answering
A Mahendru, V Prabhu, A Mohapatra, D Batra, S Lee
EMNLP 2017, 2017
Augco: augmentation consistency-guided self-training for source-free domain adaptive semantic segmentation
V Prabhu, S Khare, D Kartik, J Hoffman
Computer Vision in the Wild workshop, ECCV 2022, 2021
UDIS: Unsupervised Discovery of Bias in Deep Visual Recognition Models.
A Krishnakumar, V Prabhu, S Sudhakar, J Hoffman
BMVC, 143, 2021
Battle of the backbones: A large-scale comparison of pretrained models across computer vision tasks
M Goldblum, H Souri, R Ni, M Shu, V Prabhu, G Somepalli, ...
Advances in Neural Information Processing Systems 36, 2024
Lance: Stress-testing visual models by generating language-guided counterfactual images
V Prabhu, S Yenamandra, P Chattopadhyay, J Hoffman
Advances in Neural Information Processing Systems 36, 2024
Adapting Self-Supervised Vision Transformers by Probing Attention-Conditioned Masking Consistency
V Prabhu, S Yenamandra, A Singh, J Hoffman
NeurIPS 2022, 2022
Systems and methods for responding to healthcare inquiries
A Kannan, M Ravuri, V Rodrigues, V Venkataraman, TSO Geoffrey, ...
US Patent 10,847,265, 2020
Open set medical diagnosis
V Prabhu, A Kannan, GJ Tso, N Katariya, M Chablani, D Sontag, ...
ML4H workshop, NeurIPS 2019, 2019
Fabrik: An online collaborative neural network editor
U Garg, V Prabhu, D Yadav, R Ramrakhya, H Agrawal, D Batra
Workshop on AI Systems, SOSP 2019, 2018
Mitigating bias in visual transformers via targeted alignment
S Sudhakar, V Prabhu, A Krishnakumar, J Hoffman
arXiv preprint arXiv:2302.04358, 2023
Can domain adaptation make object recognition work for everyone?
V Prabhu, RR Selvaraju, J Hoffman, N Naik
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022
Bridging the sim2real gap with care: Supervised detection adaptation with conditional alignment and reweighting
V Prabhu, D Acuna, A Liao, R Mahmood, MT Law, J Hoffman, S Fidler, ...
arXiv preprint arXiv:2302.04832, 2023
Facts: First amplify correlations and then slice to discover bias
S Yenamandra, P Ramesh, V Prabhu, J Hoffman
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023
N Modhe, V Prabhu, M Cogswell, S Kottur, A Das, S Lee, D Parikh, ...
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