Sukrut Rao

22 papers A* 3A 1Journal 15Unranked 3
YearRankTypeTitle / Venue / Authors
2026 J jnl
Insight: Interpretable Semantic Hierarchies in Vision-Language Encoders.
CoRR
Kai Wittenmayer, Sukrut Rao, Amin Parchami-Araghi, Bernt Schiele, Jonas Fischer
2025 J jnl
B-cos LM: Efficiently Transforming Pre-trained Language Models for Improved Explainability.
CoRR
Yifan Wang, Sukrut Rao, Ji-Ung Lee, Mayank Jobanputra, Vera Demberg
2025 J jnl
B-cos LM: Efficiently Transforming Pre-trained Language Models for Improved Explainability.
Trans. Mach. Learn. Res.
Yifan Wang, Sukrut Rao, Ji-Ung Lee, Mayank Jobanputra, Vera Demberg
2025 J jnl
FaCT: Faithful Concept Traces for Explaining Neural Network Decisions.
CoRR
Amin Parchami-Araghi, Sukrut Rao, Jonas Fischer, Bernt Schiele
2024 A* conf
B-cosification: Transforming Deep Neural Networks to be Inherently Interpretable.
NeurIPS
Shreyash Arya, Sukrut Rao, Moritz Böhle, Bernt Schiele
2024 J jnl
B-cosification: Transforming Deep Neural Networks to be Inherently Interpretable.
CoRR
Shreyash Arya, Sukrut Rao, Moritz Böhle, Bernt Schiele
2024 J jnl
Better Understanding Differences in Attribution Methods via Systematic Evaluations.
IEEE Trans. Pattern Anal. Mach. Intell.
Sukrut Rao, Moritz Böhle, Bernt Schiele
2024 — conf
Discover-then-Name: Task-Agnostic Concept Bottlenecks via Automated Concept Discovery.
ECCV (77)
Sukrut Rao, Sweta Mahajan, Moritz Böhle, Bernt Schiele
2024 J jnl
Discover-then-Name: Task-Agnostic Concept Bottlenecks via Automated Concept Discovery.
CoRR
Sukrut Rao, Sweta Mahajan, Moritz Böhle, Bernt Schiele
2024 — conf
Good Teachers Explain: Explanation-Enhanced Knowledge Distillation.
ECCV (73)
Amin Parchami-Araghi, Moritz Böhle, Sukrut Rao, Bernt Schiele
2024 J jnl
Good Teachers Explain: Explanation-Enhanced Knowledge Distillation.
CoRR
Amin Parchami-Araghi, Moritz Böhle, Sukrut Rao, Bernt Schiele
2023 J jnl
Better Understanding Differences in Attribution Methods via Systematic Evaluations.
CoRR
Sukrut Rao, Moritz Böhle, Bernt Schiele
2023 A* conf
Studying How to Efficiently and Effectively Guide Models with Explanations.
ICCV
Sukrut Rao, Moritz Böhle, Amin Parchami-Araghi, Bernt Schiele
2023 J jnl
Studying How to Efficiently and Effectively Guide Models with Explanations.
CoRR
Sukrut Rao, Moritz Böhle, Amin Parchami-Araghi, Bernt Schiele
2022 A* conf
Towards Better Understanding Attribution Methods.
CVPR
Sukrut Rao, Moritz Böhle, Bernt Schiele
2022 J jnl
Towards Better Understanding Attribution Methods.
CoRR
Sukrut Rao, Moritz Böhle, Bernt Schiele
2020 — conf
Adversarial Training Against Location-Optimized Adversarial Patches.
ECCV Workshops (5)
Sukrut Rao, David Stutz, Bernt Schiele
2020 J jnl
Adversarial Training against Location-Optimized Adversarial Patches.
CoRR
Sukrut Rao, David Stutz, Bernt Schiele
2019 J jnl
Open-WBO-Inc: Approximation Strategies for Incomplete Weighted MaxSAT.
J. Satisf. Boolean Model. Comput.
Saurabh Joshi, Prateek Kumar, Sukrut Rao, Ruben Martins
2018 A conf
Approximation Strategies for Incomplete MaxSAT.
CP
Saurabh Joshi, Prateek Kumar, Ruben Martins, Sukrut Rao
2018 J jnl
Approximation Strategies for Incomplete MaxSAT.
CoRR
Saurabh Joshi, Prateek Kumar, Ruben Martins, Sukrut Rao
2018 J jnl
Fast Dawid-Skene: A Fast Vote Aggregation Scheme for Sentiment Classification.
CoRR
Vaibhav B. Sinha, Sukrut Rao, Vineeth N. Balasubramanian