DC4L: Distribution Shift Recovery via Data-Driven Control for Deep Learning Models

20 February 2023

Papers citing "DC4L: Distribution Shift Recovery via Data-Driven Control for Deep Learning Models"

8 / 8 papers shown

Title
Monitor and Recover: A Paradigm for Future Research on Distribution Shift in Learning-Enabled Cyber-Physical Systems Vivian Lin Insup Lee 25 0 0 18 Apr 2025
Conformalized Credal Regions for Classification with Ambiguous Ground Truth Michele Caprio David Stutz Shuo Li Arnaud Doucet UQCV 57 4 0 07 Nov 2024
AR-Pro: Counterfactual Explanations for Anomaly Repair with Formal Properties Xiayan Ji Anton Xue Eric Wong O. Sokolsky Insup Lee 24 1 0 31 Oct 2024
Imprecise Markov Semigroups and their Ergodicity Michele Caprio 17 3 0 30 Apr 2024
Lights out: training RL agents robust to temporary blindness Nathan Ordonez Marije Tromp Pau Marquez Julbe Wendelin Böhmer 17 0 0 05 Dec 2023
CODiT: Conformal Out-of-Distribution Detection in Time-Series Data R. Kaur Kaustubh Sridhar Sangdon Park Susmit Jha Anirban Roy O. Sokolsky Insup Lee OODD AI4TS 132 27 0 24 Jul 2022
Deep Image Deblurring: A Survey Kaihao Zhang Wenqi Ren Wenhan Luo Wei-Sheng Lai B. Stenger Ming-Hsuan Yang Hongdong Li 80 166 0 26 Jan 2022
Multi-Stage Progressive Image Restoration Syed Waqas Zamir Aditya Arora Salman Khan Munawar Hayat F. Khan Ming-Hsuan Yang Ling Shao 114 1,420 0 04 Feb 2021