Energy-based Out-of-distribution Detection

8 October 2020

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

50 / 812 papers shown

Title
Toward a Realistic Benchmark for Out-of-Distribution Detection Pietro Recalcati Fabio Garcea Luca Piano Fabrizio Lamberti Lia Morra OODD 34 1 0 16 Apr 2024
AMU-Tuning: Effective Logit Bias for CLIP-based Few-shot Learning Yuwei Tang Zhenyi Lin Qilong Wang Pengfei Zhu Qinghua Hu 26 11 0 13 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 37 6 0 12 Apr 2024
Combining Statistical Depth and Fermat Distance for Uncertainty Quantification Hai-Vy Nguyen Fabrice Gamboa Reda Chhaibi Sixin Zhang Serge Gratton Thierry Giaccone FedML UQCV 21 0 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 25 0 0 09 Apr 2024
Unified Entropy Optimization for Open-Set Test-Time Adaptation Zhengqing Gao Xu-Yao Zhang Cheng-Lin Liu TTA 37 4 0 09 Apr 2024
Out-of-Distribution Data: An Acquaintance of Adversarial Examples -- A Survey Naveen Karunanayake Ravin Gunawardena Suranga Seneviratne Sanjay Chawla OOD 38 5 0 08 Apr 2024
Your Finetuned Large Language Model is Already a Powerful Out-of-distribution Detector Andi Zhang Tim Z. Xiao Weiyang Liu Robert Bamler Damon J. Wischik OODD 44 4 0 07 Apr 2024
Learning Transferable Negative Prompts for Out-of-Distribution Detection Tianqi Li Guansong Pang Xiaolong Bai Wenjun Miao Jingyi Zheng VLM 52 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 29 5 0 02 Apr 2024
AETTA: Label-Free Accuracy Estimation for Test-Time Adaptation Taeckyung Lee Sorn Chottananurak Taesik Gong Sung-Ju Lee 32 1 0 01 Apr 2024
Lipsum-FT: Robust Fine-Tuning of Zero-Shot Models Using Random Text Guidance G. Nam Byeongho Heo Juho Lee VLM 31 5 0 01 Apr 2024
LLM meets Vision-Language Models for Zero-Shot One-Class Classification Yassir Bendou G. Lioi Bastien Pasdeloup Lukas Mauch G. B. Hacene Fabien Cardinaux Vincent Gripon VLM MLLM 46 0 0 31 Mar 2024
Weak Distribution Detectors Lead to Stronger Generalizability of Vision-Language Prompt Tuning Kun Ding Haojian Zhang Qiang Yu Ying Wang Shiming Xiang Chunhong Pan OODD VLM 26 4 0 31 Mar 2024
ADs: Active Data-sharing for Data Quality Assurance in Advanced Manufacturing Systems Yue Zhao Yuxuan Li Chenang Liu Yinan Wang 22 0 0 31 Mar 2024
CLIP-driven Outliers Synthesis for few-shot OOD detection Hao Sun Rundong He Zhongyi Han Zhicong Lin Yongshun Gong Yilong Yin OODD 38 5 0 30 Mar 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 44 28 0 29 Mar 2024
Embracing Unknown Step by Step: Towards Reliable Sparse Training in Real World Bowen Lei Dongkuan Xu Ruqi Zhang Bani Mallick UQCV 33 0 0 29 Mar 2024
GOLD: Generalized Knowledge Distillation via Out-of-Distribution-Guided Language Data Generation Mohsen Gholami Mohammad Akbari Cindy Hu Vaden Masrani Z. J. Wang Yong Zhang 35 4 0 28 Mar 2024
CLAP4CLIP: Continual Learning with Probabilistic Finetuning for Vision-Language Models Saurav Jha Dong Gong Lina Yao CLIP VLM 33 8 0 28 Mar 2024
A Geometric Explanation of the Likelihood OOD Detection Paradox Hamidreza Kamkari Brendan Leigh Ross Jesse C. Cresswell Anthony L. Caterini Rahul G. Krishnan G. Loaiza-Ganem OODD 26 9 0 27 Mar 2024
BAM: Box Abstraction Monitors for Real-time OoD Detection in Object Detection Changshun Wu Weicheng He Chih-Hong Cheng Xiaowei Huang Saddek Bensalem 36 1 0 27 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 27 5 0 24 Mar 2024
Hyperbolic Metric Learning for Visual Outlier Detection Alvaro Gonzalez-Jimenez Simone Lionetti Dena Bazazian Philippe Gottfrois Fabian Gröger M. Pouly A. Navarini 53 1 0 22 Mar 2024
Addressing Concept Shift in Online Time Series Forecasting: Detect-then-Adapt Yi-Fan Zhang Weiqiu Chen Zhaoyang Zhu Dalin Qin Liang Sun Xue Wang Qingsong Wen Zhang Zhang Liang Wang Rong Jin AI4TS 32 1 0 22 Mar 2024
Tell Me What You Want (What You Really, Really Want): Addressing the Expectation Gap for Goal Conveyance from Humans to Robots Kevin J. Leahy H. Siu 27 2 0 21 Mar 2024
Out-of-Distribution Detection Should Use Conformal Prediction (and Vice-versa?) Paul Novello Joseba Dalmau Léo Andéol OODD 27 2 0 18 Mar 2024
Uncertainty-Calibrated Test-Time Model Adaptation without Forgetting Mingkui Tan Guohao Chen Jiaxiang Wu Yifan Zhang Yaofo Chen Peilin Zhao Shuaicheng Niu TTA OOD 31 4 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 30 1 0 16 Mar 2024
Model Reprogramming Outperforms Fine-tuning on Out-of-distribution Data in Text-Image Encoders Andrew Geng Pin-Yu Chen OODD 19 0 0 16 Mar 2024
Energy Correction Model in the Feature Space for Out-of-Distribution Detection Marc Lafon Clément Rambour Nicolas Thome OODD 25 0 0 15 Mar 2024
CoLeCLIP: Open-Domain Continual Learning via Joint Task Prompt and Vocabulary Learning Yukun Li Guansong Pang Wei Suo Chenchen Jing Yuling Xi Lingqiao Liu Hao Chen Guoqiang Liang Peng Wang CLL VLM 39 8 0 15 Mar 2024
Open-World Semantic Segmentation Including Class Similarity Matteo Sodano Federico Magistri Lucas Nunes Jens Behley C. Stachniss VLM 42 8 0 12 Mar 2024
COOD: Combined out-of-distribution detection using multiple measures for anomaly & novel class detection in large-scale hierarchical classification L. E. Hogeweg R. Gangireddy D. Brunink Vincent J. Kalkman L. Cornelissen J. W. Kamminga OODD 27 6 0 11 Mar 2024
AuG-KD: Anchor-Based Mixup Generation for Out-of-Domain Knowledge Distillation Zihao Tang Zheqi Lv Shengyu Zhang Yifan Zhou Xinyu Duan Fei Wu Kun Kuang 27 1 0 11 Mar 2024
Generating Hard-Negative Out-of-Scope Data with ChatGPT for Intent Classification Zhijian Li Stefan Larson Kevin Leach OODD 27 1 0 08 Mar 2024
Aligners: Decoupling LLMs and Alignment Lilian Ngweta Mayank Agarwal Subha Maity Alex Gittens Yuekai Sun Mikhail Yurochkin 28 1 0 07 Mar 2024
ComFe: An Interpretable Head for Vision Transformers Evelyn J. Mannix H. Bondell Howard Bondell VLM ViT 26 1 0 07 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 35 0 0 06 Mar 2024
Revisiting Confidence Estimation: Towards Reliable Failure Prediction Fei Zhu Xu-Yao Zhang Zhen Cheng Cheng-Lin Liu UQCV 46 10 0 05 Mar 2024
Improving Adversarial Energy-Based Model via Diffusion Process Cong Geng Tian Han Peng-Tao Jiang Hao Zhang Jinwei Chen Søren Hauberg Bo-wen Li DiffM 25 2 0 04 Mar 2024
Approximations to the Fisher Information Metric of Deep Generative Models for Out-Of-Distribution Detection Sam Dauncey Chris Holmes Christopher Williams Fabian Falck 39 0 0 03 Mar 2024
Run-time Introspection of 2D Object Detection in Automated Driving Systems Using Learning Representations Hakan Yekta Yatbaz M. Dianati K. Koufos Roger Woodman 27 3 0 02 Mar 2024
Extracting Usable Predictions from Quantized Networks through Uncertainty Quantification for OOD Detection Rishi Singhal Srinath Srinivasan UQCV MQ 19 0 0 02 Mar 2024
SURE: SUrvey REcipes for building reliable and robust deep networks Yuting Li Yingyi Chen Xuanlong Yu Dexiong Chen Xi Shen UQCV OOD 36 4 0 01 Mar 2024
Towards Out-of-Distribution Detection for breast cancer classification in Point-of-Care Ultrasound Imaging Jennie Karlsson Marisa Wodrich Niels Christian Overgaard Freja Sahlin Kristina Laang Anders Heyden Ida Arvidsson 34 0 0 29 Feb 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 24 12 0 27 Feb 2024
DAGnosis: Localized Identification of Data Inconsistencies using Structures Nicolas Huynh Jeroen Berrevoets Nabeel Seedat Jonathan Crabbé Zhaozhi Qian M. Schaar 31 1 0 26 Feb 2024