Energy-based Out-of-distribution Detection

8 October 2020

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

50 / 812 papers shown

Title
Deep Bayesian Active Learning for Preference Modeling in Large Language Models L. Melo P. Tigas Alessandro Abate Yarin Gal 37 8 0 14 Jun 2024
Flexible Heteroscedastic Count Regression with Deep Double Poisson Networks Spencer Young P. Jenkins Lonchao Da Jeff Dotson Hua Wei UQCV BDL 31 2 0 13 Jun 2024
How Out-of-Distribution Detection Learning Theory Enhances Transformer: Learnability and Reliability Yijin Zhou Yuguang Wang Xiaowen Dong Yuguang Wang 38 0 0 13 Jun 2024
Predictive Dynamic Fusion Bing Cao Yinan Xia Yi Ding Changqing Zhang Qinghua Hu 29 8 0 07 Jun 2024
FOOD: Facial Authentication and Out-of-Distribution Detection with Short-Range FMCW Radar Sabri Mustafa Kahya Boran Hamdi Sivrikaya Muhammet Sami Yavuz Eckehard Steinbach CVBM 38 2 0 06 Jun 2024
Generalized Source Tracing: Detecting Novel Audio Deepfake Algorithm with Real Emphasis and Fake Dispersion Strategy Yuankun Xie Ruibo Fu Zhengqi Wen Zhiyong Wang Xiaopeng Wang Haonnan Cheng Long Ye Jianhua Tao 34 2 0 05 Jun 2024
Evidentially Calibrated Source-Free Time-Series Domain Adaptation with Temporal Imputation Mohamed Ragab Peiliang Gong Emadeldeen Eldele Wenyu Zhang Min-man Wu Chuan-Sheng Foo Daoqiang Zhang Xiaoli Li Zhenghua Chen TTA AI4TS 40 2 0 04 Jun 2024
Can Dense Connectivity Benefit Outlier Detection? An Odyssey with NAS Hao Fu Tunhou Zhang Hai Li Yiran Chen 31 0 0 04 Jun 2024
Zero-Shot Out-of-Distribution Detection with Outlier Label Exposure Choubo Ding Guansong Pang OODD VLM 25 3 0 03 Jun 2024
Envisioning Outlier Exposure by Large Language Models for Out-of-Distribution Detection Chentao Cao Zhun Zhong Zhanke Zhou Yang Liu Tongliang Liu Bo Han OODD 22 10 0 02 Jun 2024
On the Use of Anchoring for Training Vision Models V. Narayanaswamy Kowshik Thopalli Rushil Anirudh Yamen Mubarka W. Sakla Jayaraman J. Thiagarajan 37 0 0 01 Jun 2024
When and How Does In-Distribution Label Help Out-of-Distribution Detection? Xuefeng Du Yiyou Sun Yixuan Li 29 7 0 28 May 2024
Evaluating Bayesian deep learning for radio galaxy classification Devina Mohan Anna M. M. Scaife UQCV BDL 46 1 0 28 May 2024
Pursuing Feature Separation based on Neural Collapse for Out-of-Distribution Detection Yingwen Wu Ruiji Yu Xinwen Cheng Zhengbao He Xiaolin Huang OODD 64 1 0 28 May 2024
MultiOOD: Scaling Out-of-Distribution Detection for Multiple Modalities Hao Dong Yue Zhao Eleni Chatzi Olga Fink OODD 35 11 0 27 May 2024
WeiPer: OOD Detection using Weight Perturbations of Class Projections Maximilian Granz Manuel Heurich Tim Landgraf OODD 37 1 0 27 May 2024
Dynamics Models in the Aggressive Off-Road Driving Regime Tyler Han Sidharth Talia Rohan Panicker Preet Shah Neel Jawale Byron Boots 29 2 0 26 May 2024
CRoFT: Robust Fine-Tuning with Concurrent Optimization for OOD Generalization and Open-Set OOD Detection Lin Zhu Yifeng Yang Qinying Gu Xinbing Wang Cheng Zhou Nanyang Ye VLM 27 2 0 26 May 2024
Transitional Uncertainty with Layered Intermediate Predictions Ryan Benkert M. Prabhushankar Ghassan AlRegib 35 1 0 25 May 2024
Enhancing Near OOD Detection in Prompt Learning: Maximum Gains, Minimal Costs M. Jung He Zhao Joanna Dipnall Belinda Gabbe Lan Du VLM OODD 34 1 0 25 May 2024
CLIPScope: Enhancing Zero-Shot OOD Detection with Bayesian Scoring Hao Fu Naman Patel P. Krishnamurthy Farshad Khorrami OODD 26 4 0 23 May 2024
Adapting Multi-modal Large Language Model to Concept Drift From Pre-training Onwards Xiaoyu Yang Jie Lu Enshui Yu VLM 42 1 0 22 May 2024
Mitigating Overconfidence in Out-of-Distribution Detection by Capturing Extreme Activations Mohammad Azizmalayeri Ameen Abu-Hanna Giovanni Cina OODD 44 1 0 21 May 2024
How to train your ViT for OOD Detection Maximilian Mueller Matthias Hein 18 0 0 21 May 2024
BOSC: A Backdoor-based Framework for Open Set Synthetic Image Attribution Jun Wang B. Tondi Mauro Barni DiffM 27 1 0 19 May 2024
A Unified Approach Towards Active Learning and Out-of-Distribution Detection Sebastian Schmidt Leonard Schenk Leo Schwinn Stephan Günnemann 44 3 0 18 May 2024
Monitizer: Automating Design and Evaluation of Neural Network Monitors Muqsit Azeem Marta Grobelna Sudeep Kanav Jan Křetínský Stefanie Mohr Sabine Rieder 39 2 0 16 May 2024
Energy-based Hopfield Boosting for Out-of-Distribution Detection Claus Hofmann Simon Schmid Bernhard Lehner Daniel Klotz Sepp Hochreiter OODD 45 8 0 14 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 43 1 0 14 May 2024
Selective Classification Under Distribution Shifts Hengyue Liang Le Peng Ju Sun UQCV 43 1 0 08 May 2024
Multi-Label Out-of-Distribution Detection with Spectral Normalized Joint Energy Yihan Mei Xinyu Wang De-Fu Zhang Xiaoling Wang OODD 28 2 0 08 May 2024
Tilt your Head: Activating the Hidden Spatial-Invariance of Classifiers Johann Schmidt Sebastian Stober 43 1 0 06 May 2024
Tree-based Ensemble Learning for Out-of-distribution Detection Zhaiming Shen Menglun Wang Guang Cheng Ming-Jun Lai Lin Mu Ruihao Huang Qi Liu Hao Zhu OODD 21 0 0 05 May 2024
A View on Out-of-Distribution Identification from a Statistical Testing Theory Perspective Alberto Caron Chris Hicks V. Mavroudis OODD 28 2 0 05 May 2024
Out-of-distribution detection based on subspace projection of high-dimensional features output by the last convolutional layer Qiuyu Zhu Yiwei He OODD 21 1 0 02 May 2024
Uncertainty for Active Learning on Graphs Dominik Fuchsgruber Tom Wollschlager Bertrand Charpentier Antonio Oroz Stephan Günnemann 38 10 0 02 May 2024
Deep Metric Learning-Based Out-of-Distribution Detection with Synthetic Outlier Exposure Assefa Seyoum Wahd 50 0 0 01 May 2024
Out-of-distribution Detection in Medical Image Analysis: A survey Zesheng Hong Yubiao Yue Yubin Chen Lele Cong Huanjie Lin ... Jialong Xu Xiaoqi Yang Hechang Chen Zhenzhang Li Sihong Xie OOD 34 5 0 28 Apr 2024
Random Walk on Pixel Manifolds for Anomaly Segmentation of Complex Driving Scenes Zelong Zeng Kaname Tomite 27 1 0 27 Apr 2024
Taming False Positives in Out-of-Distribution Detection with Human Feedback Harit Vishwakarma Heguang Lin Ramya Korlakai Vinayak OODD 16 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
Revisiting Out-of-Distribution Detection in LiDAR-based 3D Object Detection Michael Kösel M. Schreiber Michael Ulrich Claudius Gläser Klaus C. J. Dietmayer OODD 3DPC 44 3 0 24 Apr 2024
Adaptive Prompt Learning with Negative Textual Semantics and Uncertainty Modeling for Universal Multi-Source Domain Adaptation Yuxiang Yang L. Wen Yuanyuan Xu Jiliu Zhou Yan Wang VLM 24 1 0 23 Apr 2024
Audio Anti-Spoofing Detection: A Survey Menglu Li Yasaman Ahmadiadli Xiao-Ping Zhang 36 17 0 22 Apr 2024
A Hybrid Generative and Discriminative PointNet on Unordered Point Sets Yang Ye Shihao Ji PINN 3DPC 33 0 0 19 Apr 2024
Detecting Out-Of-Distribution Earth Observation Images with Diffusion Models Georges Le Bellier Nicolas Audebert 32 4 0 19 Apr 2024
QUTE: Quantifying Uncertainty in TinyML models with Early-exit-assisted ensembles N. Ghanathe Steve Wilton UQCV 27 0 0 19 Apr 2024
Gradient-Regularized Out-of-Distribution Detection Sina Sharifi Taha Entesari Bardia Safaei Vishal M. Patel Mahyar Fazlyab OODD 24 4 0 18 Apr 2024
Uncertainty-Based Abstention in LLMs Improves Safety and Reduces Hallucinations Christian Tomani Kamalika Chaudhuri Ivan Evtimov Daniel Cremers Mark Ibrahim 43 9 0 16 Apr 2024
OSR-ViT: A Simple and Modular Framework for Open-Set Object Detection and Discovery Matthew J. Inkawhich Nathan Inkawhich Hao Yang Jingyang Zhang Randolph Linderman Yiran Chen ObjD 38 0 0 16 Apr 2024