Out-Of-Distribution Detection Is Not All You Need

Out-Of-Distribution Detection Is Not All You Need

29 November 2022

Raul Sena Ferreira

Jérémie Guiochet

Papers citing "Out-Of-Distribution Detection Is Not All You Need"

18 / 18 papers shown

Title
Machine-learning for photoplethysmography analysis: Benchmarking feature, image, and signal-based approaches Mohammad Moulaeifard Loic Coquelin Mantas Rinkevičius Andrius Sološenko Oskar Pfeffer ... Vaidotas Marozas Andrew Thompson P. Aston Peter H. Charlton Nils Strodthoff OOD 67 0 0 27 Feb 2025
Class Incremental Learning with Task-Specific Batch Normalization and Out-of-Distribution Detection Xuchen Xie Yiqiao Qiu Run Lin Weishi Zheng Ruixuan Wang CLL 38 0 0 01 Nov 2024
Gaussian-Based and Outside-the-Box Runtime Monitoring Join Forces Vahid Hashemi Jan Křetínský Sabine Rieder Torsten Schön Jan Vorhoff 21 0 0 08 Oct 2024
Unveiling AI's Blind Spots: An Oracle for In-Domain, Out-of-Domain, and Adversarial Errors Shuangpeng Han Mengmi Zhang 35 0 0 03 Oct 2024
Are We Ready for Out-of-Distribution Detection in Digital Pathology? Ji-Hun Oh Kianoush Falahkheirkhah Rohit Bhargava OODD 26 2 0 18 Jul 2024
Learning Run-time Safety Monitors for Machine Learning Components Ozan Vardal Richard Hawkins Colin Paterson Chiara Picardi Daniel Omeiza Lars Kunze Ibrahim Habli 25 0 0 23 Jun 2024
Monitizer: Automating Design and Evaluation of Neural Network Monitors Muqsit Azeem Marta Grobelna Sudeep Kanav Jan Křetínský Stefanie Mohr Sabine Rieder 24 2 0 16 May 2024
Can we Defend Against the Unknown? An Empirical Study About Threshold Selection for Neural Network Monitoring Khoi Tran Dang Kevin Delmas Jérémie Guiochet Joris Guérin 38 1 0 14 May 2024
Online Safety Analysis for LLMs: a Benchmark, an Assessment, and a Path Forward Xuan Xie Jiayang Song Zhehua Zhou Yuheng Huang Da Song Lei Ma OffRL 35 6 0 12 Apr 2024
Inherent Diverse Redundant Safety Mechanisms for AI-based Software Elements in Automotive Applications Mandar Pitale Alireza Abbaspour Devesh Upadhyay 25 3 0 13 Feb 2024
Decoupling Pixel Flipping and Occlusion Strategy for Consistent XAI Benchmarks Stefan Blücher Johanna Vielhaben Nils Strodthoff AAML 47 20 0 12 Jan 2024
Self-Aware Trajectory Prediction for Safe Autonomous Driving Wenbo Shao Jun Li Hong Wang 27 11 0 16 May 2023
Explanation Shift: How Did the Distribution Shift Impact the Model? Carlos Mougan Klaus Broelemann David Masip Gjergji Kasneci Thanassis Thiropanis Steffen Staab FAtt 15 1 0 14 Mar 2023
A System-Level View on Out-of-Distribution Data in Robotics Rohan Sinha Apoorva Sharma Somrita Banerjee T. Lew Rachel Luo Spencer M. Richards Yixiao Sun Edward Schmerling Marco Pavone UQCV 15 21 0 28 Dec 2022
Unifying Evaluation of Machine Learning Safety Monitors Joris Guérin Raul Sena Ferreira Kevin Delmas Jérémie Guiochet 30 10 0 31 Aug 2022
Transcending XAI Algorithm Boundaries through End-User-Inspired Design Weina Jin Jianyu Fan D. Gromala Philippe Pasquier Xiaoxiao Li Ghassan Hamarneh 21 3 0 18 Aug 2022
Learning in High Dimension Always Amounts to Extrapolation Randall Balestriero J. Pesenti Yann LeCun 31 102 0 18 Oct 2021
Real-time Out-of-distribution Detection in Learning-Enabled Cyber-Physical Systems Feiyang Cai X. Koutsoukos OODD 109 68 0 28 Jan 2020