Energy-based Out-of-distribution Detection

8 October 2020

Papers citing "Energy-based Out-of-distribution Detection"

50 / 812 papers shown

Title
ID-like Prompt Learning for Few-Shot Out-of-Distribution Detection Yichen Bai Zongbo Han Changqing Zhang Bing Cao Xiaoheng Jiang Qinghua Hu OODD 43 18 0 26 Nov 2023
Maximizing Discrimination Capability of Knowledge Distillation with Energy Function Seonghak Kim Gyeongdo Ham Suin Lee Donggon Jang Daeshik Kim 28 2 0 24 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 57 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
Towards Few-shot Out-of-Distribution Detection Jiuqing Dong Yongbin Gao Heng Zhou Jun Cen Yifan Yao Sook Yoon Park Dong Sun OODD 22 3 0 20 Nov 2023
GAIA: Delving into Gradient-based Attribution Abnormality for Out-of-distribution Detection Jinggang Chen Junjie Li Xiaoyang Qu Jianzong Wang Jiguang Wan Jing Xiao OODD 17 9 0 16 Nov 2023
Incremental Object-Based Novelty Detection with Feedback Loop Simone Caldarella Elisa Ricci Rahaf Aljundi 39 0 0 15 Nov 2023
DALA: A Distribution-Aware LoRA-Based Adversarial Attack against Language Models Yibo Wang Xiangjue Dong James Caverlee Philip S. Yu 23 2 0 14 Nov 2023
EVORA: Deep Evidential Traversability Learning for Risk-Aware Off-Road Autonomy Xiaoyi Cai Siddharth Ancha Lakshay Sharma Philip R. Osteen Bernadette Bucher Stephen Phillips Jiuguang Wang Michael Everett Nicholas Roy Jonathan P. How EDL 24 32 0 10 Nov 2023
Improvements on Uncertainty Quantification for Node Classification via Distance-Based Regularization Russell Hart Linlin Yu Yifei Lou Feng Chen UQCV 20 4 0 10 Nov 2023
Preventing Arbitrarily High Confidence on Far-Away Data in Point-Estimated Discriminative Neural Networks Ahmad Rashid Serena Hacker Guojun Zhang Agustinus Kristiadi Pascal Poupart OODD 31 0 0 07 Nov 2023
Out-of-distribution Detection Learning with Unreliable Out-of-distribution Sources Haotian Zheng Qizhou Wang Zhen Fang Xiaobo Xia Feng Liu Tongliang Liu Bo Han 151 23 0 06 Nov 2023
Learning to Augment Distributions for Out-of-Distribution Detection Qizhou Wang Zhen Fang Yonggang Zhang Feng Liu Yixuan Li Bo Han OODD 30 32 0 03 Nov 2023
Detecting Out-of-Distribution Through the Lens of Neural Collapse Litian Liu Yao Qin OODD 36 5 0 02 Nov 2023
Mahalanobis-Aware Training for Out-of-Distribution Detection Connor Mclaughlin J. Matterer Michael Yee OODD 16 0 0 01 Nov 2023
DataZoo: Streamlining Traffic Classification Experiments Jan Luxemburk Karel Hynek 16 5 0 30 Oct 2023
Out-of-distribution Object Detection through Bayesian Uncertainty Estimation Tianhao Zhang Shenglin Wang N. Bouaynaya R. Calinescu Lyudmila Mihaylova OODD 21 2 0 29 Oct 2023
Classifier-head Informed Feature Masking and Prototype-based Logit Smoothing for Out-of-Distribution Detection Zhuohao Sun Yiqiao Qiu Zhijun Tan Weishi Zheng Ruixuan Wang OODD 18 6 0 27 Oct 2023
Low-Dimensional Gradient Helps Out-of-Distribution Detection Yingwen Wu Tao Li Xinwen Cheng Jie-jin Yang Xiaolin Huang OODD 49 3 0 26 Oct 2023
On the Powerfulness of Textual Outlier Exposure for Visual OoD Detection Sangha Park J. Mok Dahuin Jung Saehyung Lee Sung-Hoon Yoon 22 10 0 25 Oct 2023
Contextualised Out-of-Distribution Detection using Pattern Identication Romain Xu-Darme Julien Girard-Satabin Darryl Hond Gabriele Incorvaia Zakaria Chihani OODD 20 0 0 24 Oct 2023
Universal Domain Adaptation for Robust Handling of Distributional Shifts in NLP Hyuhng Joon Kim Hyunsoo Cho Sang-Woo Lee Junyeob Kim Choonghyun Park Sang-goo Lee Kang Min Yoo Taeuk Kim VLM OOD 40 1 0 23 Oct 2023
Revisiting Deep Ensemble for Out-of-Distribution Detection: A Loss Landscape Perspective Kun Fang Qinghua Tao Xiaolin Huang Jie-jin Yang OODD 42 2 0 22 Oct 2023
Diversified Outlier Exposure for Out-of-Distribution Detection via Informative Extrapolation Jianing Zhu Geng Yu Jiangchao Yao Tongliang Liu Gang Niu Masashi Sugiyama Bo Han OODD 32 30 0 21 Oct 2023
STANLEY: Stochastic Gradient Anisotropic Langevin Dynamics for Learning Energy-Based Models Belhal Karimi Jianwen Xie Ping Li DiffM 35 0 0 19 Oct 2023
Open-World Lifelong Graph Learning Marcel Hoffmann Lukas Galke A. Scherp 19 4 0 19 Oct 2023
Be Bayesian by Attachments to Catch More Uncertainty Shiyu Shen Bin Pan Tianyang Shi Tao Li Zhenwei Shi UQCV 22 0 0 19 Oct 2023
Conformal Drug Property Prediction with Density Estimation under Covariate Shift Siddhartha Laghuvarapu Zhen Lin Jimeng Sun 20 4 0 18 Oct 2023
Towards Open World Active Learning for 3D Object Detection Zhuoxiao Chen Yadan Luo Zixin Wang Zijian Wang Xin Yu Zi Huang 32 0 0 16 Oct 2023
SGOOD: Substructure-enhanced Graph-Level Out-of-Distribution Detection Zhihao Ding Jieming Shi Shiqi Shen Xuequn Shang Jiannong Cao Zhipeng Wang Zhi Gong OODD OOD 37 4 0 16 Oct 2023
SoTTA: Robust Test-Time Adaptation on Noisy Data Streams Taesik Gong Yewon Kim Taeckyung Lee Sorn Chottananurak Sung-Ju Lee TTA 32 25 0 16 Oct 2023
Causality and Independence Enhancement for Biased Node Classification Guoxin Chen Yongqing Wang Fangda Guo Qinglang Guo Jiangli Shao Huawei Shen Xueqi Cheng CML AI4CE OOD 37 14 0 14 Oct 2023
Visual Data-Type Understanding does not emerge from Scaling Vision-Language Models Vishaal Udandarao Max F. Burg Samuel Albanie Matthias Bethge VLM 28 9 0 12 Oct 2023
DualAug: Exploiting Additional Heavy Augmentation with OOD Data Rejection Zehao Wang Yiwen Guo Qizhang Li Guanglei Yang Wangmeng Zuo 20 0 0 12 Oct 2023
SEE-OoD: Supervised Exploration For Enhanced Out-of-Distribution Detection Xiaoyang Song Wenbo Sun Maher Nouiehed Raed Al Kontar J. Jin OODD 18 0 0 12 Oct 2023
Exploring Large Language Models for Multi-Modal Out-of-Distribution Detection Yi Dai Hao Lang Kaisheng Zeng Fei Huang Yongbin Li OODD 26 10 0 12 Oct 2023
Why Train More? Effective and Efficient Membership Inference via Memorization Jihye Choi Shruti Tople Varun Chandrasekaran Somesh Jha TDI FedML 18 2 0 12 Oct 2023
NECO: NEural Collapse Based Out-of-distribution detection Mouin Ben Ammar Nacim Belkhir Sebastian Popescu Antoine Manzanera Gianni Franchi OODD 29 18 0 10 Oct 2023
Semi-Supervised Object Detection with Uncurated Unlabeled Data for Remote Sensing Images Nanqing Liu Xun Xu Yingjie Gao Heng-Chao Li 51 12 0 09 Oct 2023
Understanding the Feature Norm for Out-of-Distribution Detection Jaewoo Park Jacky Chen Long Chai Jaeho Yoon Andrew Beng Jin Teoh OODD 24 12 0 09 Oct 2023
FLatS: Principled Out-of-Distribution Detection with Feature-Based Likelihood Ratio Score Haowei Lin Yuntian Gu OODD 24 6 0 08 Oct 2023
Activate and Reject: Towards Safe Domain Generalization under Category Shift Chaoqi Chen Luyao Tang Leitian Tao Hong-Yu Zhou Yue Huang Xiaoguang Han Yizhou Yu OOD 31 10 0 07 Oct 2023
OpenPatch: a 3D patchwork for Out-Of-Distribution detection Paolo Rabino A. Alliegro Francesco Cappio Borlino Tatiana Tommasi 3DPC 21 1 0 05 Oct 2023
Out-of-Distribution Detection by Leveraging Between-Layer Transformation Smoothness Fran Jelenić Josip Jukić Martin Tutek Mate Puljiz Jan vSnajder OODD 22 5 0 04 Oct 2023
OOD Aware Supervised Contrastive Learning Soroush Seifi Daniel Olmeda Reino N. Chumerin Rahaf Aljundi OODD 26 2 0 03 Oct 2023
ImageNet-OOD: Deciphering Modern Out-of-Distribution Detection Algorithms William Yang Byron Zhang Olga Russakovsky OODD 35 12 0 03 Oct 2023
Towards Distribution-Agnostic Generalized Category Discovery Jianhong Bai Zuo-Qiang Liu Hualiang Wang Ruizhe Chen Lianrui Mu Xiaomeng Li Joey Tianyi Zhou Yang Feng Jian Wu Haoji Hu 40 9 0 02 Oct 2023
LS-VOS: Identifying Outliers in 3D Object Detections Using Latent Space Virtual Outlier Synthesis Aldi Piroli Vinzenz Dallabetta Johannes Kopp M. Walessa D. Meissner Klaus C. J. Dietmayer 15 5 0 02 Oct 2023