91 citations
- Indian Institute of Science BangaloreIN28 papers
- Indian Institute of Technology MadrasIN12 papers
- University of FreiburgDE7 papers
- Carnegie Mellon UniversityUS5 papers
- Robert Bosch (Germany)DE5 papers
- Robert Bosch (United States)US5 papers
- Karlsruhe Institute of TechnologyDE4 papers
- Robert Bosch (Taiwan)TW4 papers
- Technical University of MunichDE4 papers
- University of TübingenDE4 papers
- Intel (United States)US3 papers
- Leibniz University HannoverDE3 papers
24 papers · 1 filter
Syn2Real Domain Generalization for Underwater Mine-like Object Detection Using Side-Scan Sonar
Aayush Agrawal, Aniruddh Sikdar, Rajini Makam +3
Underwater mine detection with deep learning suffers from limitations due to the scarcity of real-world data. This scarcity leads to overfitting, where models perform well on train…
Shortcuts Everywhere and Nowhere: Exploring Multi-Trigger Backdoor Attacks
Yige Li, Jiabo He, Hanxun Huang +3
Backdoor attacks have become a significant threat to the pre-training and deployment of deep neural networks (DNNs). Although numerous methods for detecting and mitigating backdoor…
Estimation of Counterfactual Interventions under Uncertainties
Juliane Weilbach, Sebastian Gerwinn, Melih Kandemir +1
Counterfactual analysis is intuitively performed by humans on a daily basis eg. "What should I have done differently to get the loan approved?". Such counterfactual questions also…
GrabQC: Graph based Query Contextualization for automated ICD coding
Jeshuren Chelladurai, Sudarsun Santhiappan, Balaraman Ravindran
Automated medical coding is a process of codifying clinical notes to appropriate diagnosis and procedure codes automatically from the standard taxonomies such as ICD (International…
Automated Reinforcement Learning (AutoRL): A Survey and Open Problems
Jack Parker-Holder, Raghu Rajan, Xingyou Song +9
The combination of Reinforcement Learning (RL) with deep learning has led to a series of impressive feats, with many believing (deep) RL provides a path towards generally capable a…
Smooth Imitation Learning via Smooth Costs and Smooth Policies
Sapana Chaudhary, Balaraman Ravindran
Imitation learning (IL) is a popular approach in the continuous control setting as among other reasons it circumvents the problems of reward mis-specification and exploration in re…