ReAct: Out-of-distribution Detection With Rectified Activations

24 November 2021

Papers citing "ReAct: Out-of-distribution Detection With Rectified Activations"

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Title
Continual Learning in the Presence of Repetition Hamed Hemati Lorenzo Pellegrini Xiaotian Duan Zixuan Zhao Fangfang Xia ... Shiji Zhao Shao-Yuan Li Sheng-Jun Huang Vincenzo Lomonaco Gido M. van de Ven CLL 36 2 0 07 May 2024
A View on Out-of-Distribution Identification from a Statistical Testing Theory Perspective Alberto Caron Chris Hicks V. Mavroudis OODD 33 2 0 05 May 2024
Taming False Positives in Out-of-Distribution Detection with Human Feedback Harit Vishwakarma Heguang Lin Ramya Korlakai Vinayak OODD 24 4 0 25 Apr 2024
Unexplored Faces of Robustness and Out-of-Distribution: Covariate Shifts in Environment and Sensor Domains Eunsu Baek Keondo Park Jiyoon Kim Hyung-Sin Kim OODD OOD 31 4 0 24 Apr 2024
Gradient-Regularized Out-of-Distribution Detection Sina Sharifi Taha Entesari Bardia Safaei Vishal M. Patel Mahyar Fazlyab OODD 31 5 0 18 Apr 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 50 6 0 12 Apr 2024
VI-OOD: A Unified Representation Learning Framework for Textual Out-of-distribution Detection Li-Ming Zhan Bo Liu Xiao-Ming Wu 35 0 0 09 Apr 2024
Out-of-Distribution Data: An Acquaintance of Adversarial Examples -- A Survey Naveen Karunanayake Ravin Gunawardena Suranga Seneviratne Sanjay Chawla OOD 51 5 0 08 Apr 2024
Learning Transferable Negative Prompts for Out-of-Distribution Detection Tianqi Li Guansong Pang Xiaolong Bai Wenjun Miao Jingyi Zheng VLM 60 12 0 04 Apr 2024
A noisy elephant in the room: Is your out-of-distribution detector robust to label noise? Galadrielle Humblot-Renaux Sergio Escalera T. Moeslund OODD UQCV NoLa 31 5 0 02 Apr 2024
Negative Label Guided OOD Detection with Pretrained Vision-Language Models Xue Jiang Feng Liu Zhengfeng Fang Hong Chen Tongliang Liu Feng Zheng Bo Han VLM 55 28 0 29 Mar 2024
SCOD: From Heuristics to Theory Vojtech Franc Jakub Paplhám D. Prusa 32 2 0 25 Mar 2024
Out-of-Distribution Detection via Deep Multi-Comprehension Ensemble Chenhui Xu Fuxun Yu Zirui Xu Nathan Inkawhich Xiang Chen OODD 35 5 0 24 Mar 2024
Out-of-Distribution Detection Should Use Conformal Prediction (and Vice-versa?) Paul Novello Joseba Dalmau Léo Andéol OODD 32 2 0 18 Mar 2024
Enhancing Out-of-Distribution Detection with Multitesting-based Layer-wise Feature Fusion Jiawei Li Sitong Li Shanshan Wang Yicheng Zeng Falong Tan Chuanlong Xie OODD 32 1 0 16 Mar 2024
What is different between these datasets? Varun Babbar Zhicheng Guo Cynthia Rudin 59 1 0 08 Mar 2024
Advancing Out-of-Distribution Detection through Data Purification and Dynamic Activation Function Design Yingrui Ji Yao Zhu Zhigang Li Jiansheng Chen Yun-long Kong Jingbo Chen OODD 43 0 0 06 Mar 2024
Revisiting Confidence Estimation: Towards Reliable Failure Prediction Fei Zhu Xu-Yao Zhang Zhen Cheng Cheng-Lin Liu UQCV 49 10 0 05 Mar 2024
Out-of-Distribution Detection using Neural Activation Prior Weilin Wan Weizhong Zhang Quan Zhou Fan Yi Cheng Jin OODD 40 0 0 28 Feb 2024
ConjNorm: Tractable Density Estimation for Out-of-Distribution Detection Bo Peng Yadan Luo Yonggang Zhang Yixuan Li Zhen Fang 31 12 0 27 Feb 2024
Outlier detection by ensembling uncertainty with negative objectness Anja Delić Matej Grcić Sinisa Segvic UQCV 51 15 0 23 Feb 2024
A Comprehensive Review of Machine Learning Advances on Data Change: A Cross-Field Perspective Jeng-Lin Li Chih-Fan Hsu Ming-Ching Chang Wei-Chao Chen OOD 44 2 0 20 Feb 2024
EndoOOD: Uncertainty-aware Out-of-distribution Detection in Capsule Endoscopy Diagnosis Qiaozhi Tan Long Bai Guan-Feng Wang Mobarakol Islam Hongliang Ren 31 4 0 18 Feb 2024
Data Distribution Distilled Generative Model for Generalized Zero-Shot Recognition Yijie Wang Mingjian Hong Luwen Huangfu Shengyue Huang SyDa 41 6 0 18 Feb 2024
Feature Density Estimation for Out-of-Distribution Detection via Normalizing Flows Evan Cook Marc-Antoine Lavoie Steven L. Waslander OODD 19 2 0 09 Feb 2024
Energy-based Domain-Adaptive Segmentation with Depth Guidance Jinjin Zhu Zhedong Hu Tae-Kyun Kim Lin Wang MDE 24 2 0 06 Feb 2024
INSIDE: LLMs' Internal States Retain the Power of Hallucination Detection Chao Chen Kai-Chun Liu Ze Chen Yi Gu Yue-bo Wu Mingyuan Tao Zhihang Fu Jieping Ye HILM 85 85 0 06 Feb 2024
How Does Unlabeled Data Provably Help Out-of-Distribution Detection? Xuefeng Du Zhen Fang Ilias Diakonikolas Yixuan Li OODD 43 27 0 05 Feb 2024
Kernel PCA for Out-of-Distribution Detection Kun Fang Qinghua Tao Kexin Lv M. He Xiaolin Huang Jie-jin Yang OODD 51 2 0 05 Feb 2024
Learning with Mixture of Prototypes for Out-of-Distribution Detection Haodong Lu Dong Gong Shuo Wang Jason Xue Lina Yao Kristen Moore OODD 58 22 0 05 Feb 2024
Optimal Parameter and Neuron Pruning for Out-of-Distribution Detection Chao Chen Zhihang Fu Kai-Chun Liu Ze Chen Mingyuan Tao Jieping Ye OODD 33 3 0 04 Feb 2024
Towards Optimal Feature-Shaping Methods for Out-of-Distribution Detection Qinyu Zhao Ming Xu Kartik Gupta Akshay Asthana Liang Zheng Stephen Gould OODD 22 5 0 01 Feb 2024
ARGS: Alignment as Reward-Guided Search Maxim Khanov Jirayu Burapacheep Yixuan Li 35 44 0 23 Jan 2024
Out-of-Distribution Detection & Applications With Ablated Learned Temperature Energy Will LeVine Benjamin Pikus Jacob Phillips Berk Norman Fernando Amat Gil Sean Hendryx OODD 70 1 0 22 Jan 2024
ML-On-Rails: Safeguarding Machine Learning Models in Software Systems A Case Study Hala Abdelkader Mohamed Abdelrazek Scott Barnett Jean-Guy Schneider Priya Rani Rajesh Vasa 32 3 0 12 Jan 2024
Enhancing Consistency and Mitigating Bias: A Data Replay Approach for Incremental Learning Chenyang Wang Junjun Jiang Xingyu Hu Xianming Liu Xiangyang Ji 44 2 0 12 Jan 2024
EPA: Neural Collapse Inspired Robust Out-of-Distribution Detector Jiawei Zhang Yufan Chen Cheng Jin Lei Zhu Yuantao Gu OODD UQCV AAML 26 6 0 03 Jan 2024
Towards Reliable AI Model Deployments: Multiple Input Mixup for Out-of-Distribution Detection Dasol Choi Dongbin Na OODD 16 2 0 24 Dec 2023
How to Overcome Curse-of-Dimensionality for Out-of-Distribution Detection? Soumya Suvra Ghosal Yiyou Sun Yixuan Li OODD 27 10 0 22 Dec 2023
GROOD: Gradient-Aware Out-of-Distribution Detection Mostafa ElAraby Sabyasachi Sahoo Y. Pequignot Paul Novello Liam Paull 13 0 0 22 Dec 2023
Out-of-Distribution Detection in Long-Tailed Recognition with Calibrated Outlier Class Learning Wenjun Miao Guansong Pang Tianqi Li Xiaolong Bai Jingyi Zheng OODD 35 14 0 17 Dec 2023
Fast Decision Boundary based Out-of-Distribution Detector Litian Liu Yao Qin OODD 15 12 0 15 Dec 2023
EAT: Towards Long-Tailed Out-of-Distribution Detection Tong Wei Bo-Lin Wang Min-Ling Zhang OODD 23 14 0 14 Dec 2023
HAROOD: Human Activity Classification and Out-of-Distribution Detection with Short-Range FMCW Radar Sabri Mustafa Kahya Muhammet Sami Yavuz Eckehard G. Steinbach 32 4 0 14 Dec 2023
Mixture of Gaussian-distributed Prototypes with Generative Modelling for Interpretable and Trustworthy Image Recognition Chong Wang Yuanhong Chen Fengbei Liu Yuyuan Liu Davis J. McCarthy Helen Frazer Gustavo Carneiro 23 1 0 30 Nov 2023
BatchNorm-based Weakly Supervised Video Anomaly Detection Yixuan Zhou Yi Qu Xing Xu Fumin Shen Jingkuan Song Hengtao Shen 28 18 0 26 Nov 2023
ExCeL : Combined Extreme and Collective Logit Information for Enhancing Out-of-Distribution Detection Naveen Karunanayake Suranga Seneviratne Sanjay Chawla OODD 23 1 0 23 Nov 2023
RankFeat&RankWeight: Rank-1 Feature/Weight Removal for Out-of-distribution Detection Yue Song N. Sebe Wei Wang OODD 35 1 0 23 Nov 2023
Unified Classification and Rejection: A One-versus-All Framework Zhen Cheng Xu-Yao Zhang Cheng-Lin Liu 59 7 0 22 Nov 2023
A Baseline Analysis of Reward Models' Ability To Accurately Analyze Foundation Models Under Distribution Shift Will LeVine Benjamin Pikus Tony Chen Sean Hendryx 36 8 0 21 Nov 2023