Sumedha Singla

15 papers A* 1A 1Journal 9Unranked 4

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Xray-Visual Models: Scaling Vision models on Industry Scale Data. CoRR Shlok Mishra, Tsung-Yu Lin, Linda Wang, Hongli Xu, Yimin Liu, Michael Hsu, Chaitanya Ahuja, Hao Yuan, Jianpeng Cheng, Hong-You Chen, Haoyuan Xu, Chao Li, Abhijeet Awasthi, Jihye Moon, Don Husa, Michael Ge, Sumedha Singla, Arkabandhu Chowdhury, Phong Dingh, Satya Narayan Shukla, Yonghuan Yang, David Jacobs, Qi Guo, Jun Xiao, Xiangjun Fan, Aashu Singh
2023	A	`conf`	Augmentation by Counterfactual Explanation -Fixing an Overconfident Classifier. WACV Sumedha Singla, Nihal Murali, Forough Arabshahi, Sofia Triantafyllou, Kayhan Batmanghelich
2023	J	`jnl`	Explaining the black-box smoothly - A counterfactual approach. Medical Image Anal. Sumedha Singla, Motahhare Eslami, Brian Pollack, Stephen Wallace, Kayhan Batmanghelich
2022	J	`jnl`	Augmentation by Counterfactual Explanation - Fixing an Overconfident Classifier. CoRR Sumedha Singla, Nihal Murali, Forough Arabshahi, Sofia Triantafyllou, Kayhan Batmanghelich
2022	J	`jnl`	Deep Learning for Medical Imaging From Diagnosis Prediction to its Counterfactual Explanation. CoRR Sumedha Singla
2021	J	`jnl`	Explaining the Black-box Smoothly- A Counterfactual Approach. CoRR Sumedha Singla, Brian Pollack, Stephen Wallace, Kayhan Batmanghelich
2021	—	`conf`	Incorporating External Information in Tissue Subtyping: A Topic Modeling Approach. MLHC Ardavan Saeedi, Payman Yadollahpour, Sumedha Singla, Brian Pollack, William M. Wells III, Frank C. Sciurba, Kayhan Batmanghelich
2021	J	`jnl`	Self-Supervised Vessel Enhancement Using Flow-Based Consistencies. CoRR Rohit Jena, Sumedha Singla, Kayhan Batmanghelich
2021	—	`conf`	Self-supervised Vessel Enhancement Using Flow-Based Consistencies. MICCAI (2) Rohit Jena, Sumedha Singla, Kayhan Batmanghelich
2021	—	`conf`	Using Causal Analysis for Conceptual Deep Learning Explanation. MICCAI (3) Sumedha Singla, Stephen Wallace, Sofia Triantafillou, Kayhan Batmanghelich
2021	J	`jnl`	Using Causal Analysis for Conceptual Deep Learning Explanation. CoRR Sumedha Singla, Stephen Wallace, Sofia Triantafillou, Kayhan Batmanghelich
2020	A*	`conf`	Explanation by Progressive Exaggeration. ICLR Sumedha Singla, Brian Pollack, Junxiang Chen, Kayhan Batmanghelich
2019	J	`jnl`	Explanation by Progressive Exaggeration. CoRR Sumedha Singla, Brian Pollack, Junxiang Chen, Kayhan Batmanghelich
2018	—	`conf`	Subject2Vec: Generative-Discriminative Approach from a Set of Image Patches to a Vector. MICCAI (1) Sumedha Singla, Mingming Gong, Siamak Ravanbakhsh, Frank C. Sciurba, Barnabás Póczos, Kayhan N. Batmanghelich
2018	J	`jnl`	Subject2Vec: Generative-Discriminative Approach from a Set of Image Patches to a Vector. CoRR Sumedha Singla, Mingming Gong, Siamak Ravanbakhsh, Frank C. Sciurba, Barnabás Póczos, Kayhan N. Batmanghelich