The Promise of Premise: Harnessing Question Premises in Visual Question Answering. - Aroma Mahendru; Viraj Prabhu; Akrit Mohapatra; Dhruv Batra; Stefan Lee (EMNLP, 2017)

Evaluating Visual Conversational Agents via Cooperative Human-AI Games. - Prithvijit Chattopadhyay; Deshraj Yadav; Viraj Prabhu; Arjun Chandrasekaran; Abhishek Das; Stefan Lee; Dhruv Batra; Devi Parikh (HCOMP, 2017)

It Takes Two to Tango: Towards Theory of AI's Mind. - Arjun Chandrasekaran; Deshraj Yadav; Prithvijit Chattopadhyay; Viraj Prabhu; Devi Parikh (CoRR, 2017)

Do explanations make VQA models more predictable to a human? - Arjun Chandrasekaran; Viraj Prabhu; Deshraj Yadav; Prithvijit Chattopadhyay; Devi Parikh (EMNLP, 2018)

Fabrik: An Online Collaborative Neural Network Editor. - Utsav Garg; Viraj Prabhu; Deshraj Yadav; Ram Ramrakhya; Harsh Agrawal; Dhruv Batra (CoRR, 2018)

Prototypical Clustering Networks for Dermatological Disease Diagnosis. - Viraj Prabhu; Anitha Kannan; Murali Ravuri; Manish Chablani; David A. Sontag; Xavier Amatriain (CoRR, 2018)

Few-Shot Learning for Dermatological Disease Diagnosis. - Viraj Prabhu; Anitha Kannan; Murali Ravuri; Manish Chaplain; David A. Sontag; Xavier Amatriain (MLHC, 2019)

Open Set Medical Diagnosis. - Viraj Prabhu; Anitha Kannan; Geoffrey J. Tso; Namit Katariya; Manish Chablani; David A. Sontag; Xavier Amatriain (CoRR, 2019)

UDIS: Unsupervised Discovery of Bias in Deep Visual Recognition Models. - Arvindkumar Krishnakumar; Viraj Prabhu; Sruthi Sudhakar; Judy Hoffman (BMVC, 2021)

Mitigating Bias in Visual Transformers via Targeted Alignment. - Sruthi Sudhakar; Viraj Prabhu; Arvindkumar Krishnakumar; Judy Hoffman (BMVC, 2021)

Active Domain Adaptation via Clustering Uncertainty-weighted Embeddings. - Viraj Prabhu; Arjun Chandrasekaran; Kate Saenko; Judy Hoffman (ICCV, 2021)

SENTRY: Selective Entropy Optimization via Committee Consistency for Unsupervised Domain Adaptation. - Viraj Prabhu; Shivam Khare; Deeksha Kartik; Judy Hoffman (ICCV, 2021)

S4T: Source-free domain adaptation for semantic segmentation via self-supervised selective self-training. - Viraj Prabhu; Shivam Khare; Deeksha Kartik; Judy Hoffman (CoRR, 2021)

Can domain adaptation make object recognition work for everyone? - Viraj Prabhu; Ramprasaath R. Selvaraju; Judy Hoffman; Nikhil Naik (CVPR Workshops, 2022)

Adapting Self-Supervised Vision Transformers by Probing Attention-Conditioned Masking Consistency. - Viraj Prabhu; Sriram Yenamandra; Aaditya Singh; Judy Hoffman (NeurIPS, 2022)

FACTS: First Amplify Correlations and Then Slice to Discover Bias. - Sriram Yenamandra; Pratik Ramesh; Viraj Prabhu; Judy Hoffman (ICCV, 2023)

Battle of the Backbones: A Large-Scale Comparison of Pretrained Models across Computer Vision Tasks. - Micah Goldblum; Hossein Souri; Renkun Ni; Manli Shu; Viraj Prabhu; Gowthami Somepalli; Prithvijit Chattopadhyay; Mark Ibrahim; Adrien Bardes; Judy Hoffman; Rama Chellappa; Andrew Gordon Wilson; et al. (NeurIPS, 2023)

LANCE: Stress-testing Visual Models by Generating Language-guided Counterfactual Images. - Viraj Prabhu; Sriram Yenamandra; Prithvijit Chattopadhyay; Judy Hoffman (NeurIPS, 2023)

Bridging the Sim2Real gap with CARE: Supervised Detection Adaptation with Conditional Alignment and Reweighting. - Viraj Prabhu; David Acuna; Andrew Liao; Rafid Mahmood; Marc T. Law; Judy Hoffman; Sanja Fidler; James Lucas (CoRR, 2023)

ICON2: Reliably Benchmarking Predictive Inequity in Object Detection. - Sruthi Sudhakar; Viraj Prabhu; Olga Russakovsky; Judy Hoffman (CoRR, 2023)

Bridging the Sim2Real gap with CARE: Supervised Detection Adaptation with Conditional Alignment and Reweighting. - Viraj Prabhu; David Acuna; Rafid Mahmood; Marc T. Law; Yuan-Hong Liao; Judy Hoffman; Sanja Fidler; James Lucas (Trans. Mach. Learn. Res., 2023)

AUGCAL: Improving Sim2Real Adaptation by Uncertainty Calibration on Augmented Synthetic Images. - Prithvijit Chattopadhyay; Bharat Goyal; Boglarka Ecsedi; Viraj Prabhu; Judy Hoffman (ICLR, 2024)

Transferring Labels to Solve Annotation Mismatches Across Object Detection Datasets. - Yuan-Hong Liao; David Acuna; Rafid Mahmood; James Lucas; Viraj Prabhu; Sanja Fidler (ICLR, 2024)

xGen-MM (BLIP-3): A Family of Open Large Multimodal Models. - Le Xue; Manli Shu; Anas Awadalla; Jun Wang 090; An Yan; Senthil Purushwalkam; Honglu Zhou; Viraj Prabhu; Yutong Dai 002; Michael S. Ryoo; Shrikant Kendre; Jieyu Zhang 001; et al. (CoRR, 2024)

Trust but Verify: Programmatic VLM Evaluation in the Wild. - Viraj Prabhu; Senthil Purushwalkam; An Yan; Caiming Xiong; Ran Xu 001 (CoRR, 2024)

We're Not Using Videos Effectively: An Updated Domain Adaptive Video Segmentation Baseline. - Simar Kareer; Vivek Vijaykumar; Harsh Maheshwari; Judy Hoffman; Prithvijit Chattopadhyay; Viraj Prabhu (Trans. Mach. Learn. Res., 2024)

Towards Reliable Computer Vision Systems. - Viraj Prabhu (2024)

CoAct-1: Computer-using Agents with Coding as Actions. - Linxin Song; Yutong Dai 002; Viraj Prabhu; Jieyu Zhang 001; Taiwei Shi; Li Li; Junnan Li 001; Silvio Savarese; Zeyuan Chen 001; Jieyu Zhao 001; Ran Xu 001; Caiming Xiong (CoRR, 2025)

SCUBA: Salesforce Computer Use Benchmark. - Yutong Dai 002; Krithika Ramakrishnan; Jing Gu; Matthew Fernandez; Yanqi Luo; Viraj Prabhu; Zhenyu Hu; Silvio Savarese; Caiming Xiong; Zeyuan Chen 001; Ran Xu 001 (CoRR, 2025)

WALT: Web Agents that Learn Tools. - Viraj Prabhu; Yutong Dai 002; Matthew Fernandez; Jing Gu; Krithika Ramakrishnan; Yanqi Luo; Silvio Savarese; Caiming Xiong; Junnan Li 001; Zeyuan Chen 001; Ran Xu 001 (CoRR, 2025)