A Critical Evaluation of Open-World Machine Learning

8 July 2020

Papers citing "A Critical Evaluation of Open-World Machine Learning"

6 / 6 papers shown

Title
Deciphering the Definition of Adversarial Robustness for post-hoc OOD Detectors Peter Lorenz Mario Fernandez Jens Müller Ullrich Kothe AAML 240 1 0 21 Jun 2024
Enhancing Open-World Bacterial Raman Spectra Identification by Feature Regularization for Improved Resilience against Unknown Classes Y. Balytskyi Nataliia Kalashnyk Inna Hubenko A. Balytska Kelly L McNear AAML 46 1 0 19 Oct 2023
L2Explorer: A Lifelong Reinforcement Learning Assessment Environment Erik C. Johnson Eric Q. Nguyen B. Schreurs Chigozie Ewulum C. Ashcraft Neil Fendley Megan M. Baker Alexander New Gautam K. Vallabha 64 9 0 14 Mar 2022
Margin-Aware Intra-Class Novelty Identification for Medical Images Xiaoyuan Guo J. Gichoya S. Purkayastha Imon Banerjee 47 5 0 31 Jul 2021
Open-world Machine Learning: Applications, Challenges, and Opportunities Jitendra Parmar S. Chouhan Vaskar Raychoudhury S. Rathore OffRL 99 95 0 27 May 2021
RobustBench: a standardized adversarial robustness benchmark Francesco Croce Maksym Andriushchenko Vikash Sehwag Edoardo Debenedetti Nicolas Flammarion M. Chiang Prateek Mittal Matthias Hein VLM 345 707 0 19 Oct 2020