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Energy-based Out-of-distribution Detection

8 October 2020

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

50 / 847 papers shown

Title
MultiOOD: Scaling Out-of-Distribution Detection for Multiple Modalities Hao Dong Yue Zhao Eleni Chatzi Olga Fink OODD 85 18 0 27 May 2024
WeiPer: OOD Detection using Weight Perturbations of Class Projections Maximilian Granz Manuel Heurich Tim Landgraf OODD 82 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 99 3 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 112 2 0 26 May 2024
Transitional Uncertainty with Layered Intermediate Predictions Ryan Benkert Mohit Prabhushankar Ghassan AlRegib 66 2 0 25 May 2024
Enhancing Near OOD Detection in Prompt Learning: Maximum Gains, Minimal Costs M. Jung He Zhao Joanna Dipnall Lan Du Lan Du VLM OODD 75 2 0 25 May 2024
CLIPScope: Enhancing Zero-Shot OOD Detection with Bayesian Scoring Hao Fu Naman Patel Prashanth Krishnamurthy Farshad Khorrami OODD 67 5 0 23 May 2024
Trajectory Volatility for Out-of-Distribution Detection in Mathematical Reasoning Yiming Wang Pei Zhang Baosong Yang Derek F. Wong Zhuosheng Zhang Rui Wang OODD 33 1 0 22 May 2024
Adapting Multi-modal Large Language Model to Concept Drift From Pre-training Onwards Xiaoyu Yang Jie Lu Enshui Yu VLM 110 1 0 22 May 2024
Mitigating Overconfidence in Out-of-Distribution Detection by Capturing Extreme Activations Mohammad Azizmalayeri Ameen Abu-Hanna Giovanni Cina OODD 74 1 0 21 May 2024
How to train your ViT for OOD Detection Maximilian Mueller Matthias Hein 95 1 0 21 May 2024
BOSC: A Backdoor-based Framework for Open Set Synthetic Image Attribution Jun Wang B. Tondi Mauro Barni DiffM 89 1 0 19 May 2024
A Unified Approach Towards Active Learning and Out-of-Distribution Detection Sebastian Schmidt Leonard Schenk Leo Schwinn Stephan Günnemann 117 5 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 75 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 103 9 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 98 1 0 14 May 2024
Selective Classification Under Distribution Shifts Hengyue Liang Le Peng Ju Sun UQCV 101 2 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 69 3 0 08 May 2024
Tilt your Head: Activating the Hidden Spatial-Invariance of Classifiers Johann Schmidt Sebastian Stober 93 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 38 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 142 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 84 1 0 02 May 2024
Uncertainty for Active Learning on Graphs Dominik Fuchsgruber Tom Wollschlager Bertrand Charpentier Antonio Oroz Stephan Günnemann 148 11 0 02 May 2024
Deep Metric Learning-Based Out-of-Distribution Detection with Synthetic Outlier Exposure Assefa Seyoum Wahd 140 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 75 7 0 28 Apr 2024
Random Walk on Pixel Manifolds for Anomaly Segmentation of Complex Driving Scenes Zelong Zeng Kaname Tomite 72 1 0 27 Apr 2024
Taming False Positives in Out-of-Distribution Detection with Human Feedback Harit Vishwakarma Heguang Lin Ramya Korlakai Vinayak OODD 70 7 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 110 6 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 86 4 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 113 1 0 23 Apr 2024
Audio Anti-Spoofing Detection: A Survey Menglu Li Yasaman Ahmadiadli Xiao-Ping Zhang 102 25 0 22 Apr 2024
A Hybrid Generative and Discriminative PointNet on Unordered Point Sets Yang Ye Shihao Ji PINN 3DPC 75 0 0 19 Apr 2024
Detecting Out-Of-Distribution Earth Observation Images with Diffusion Models Georges Le Bellier Nicolas Audebert 75 8 0 19 Apr 2024
QUTE: Quantifying Uncertainty in TinyML models with Early-exit-assisted ensembles N. Ghanathe Steve Wilton UQCV 71 0 0 19 Apr 2024
Gradient-Regularized Out-of-Distribution Detection Sina Sharifi Taha Entesari Bardia Safaei Vishal M. Patel Mahyar Fazlyab OODD 111 7 0 18 Apr 2024
Uncertainty-Based Abstention in LLMs Improves Safety and Reduces Hallucinations Christian Tomani Kamalika Chaudhuri Ivan Evtimov Daniel Cremers Mark Ibrahim 107 15 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 103 0 0 16 Apr 2024
Toward a Realistic Benchmark for Out-of-Distribution Detection Pietro Recalcati Fabio Garcea Luca Piano Fabrizio Lamberti Lia Morra OODD 151 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 69 15 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 128 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 56 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 69 0 0 09 Apr 2024
Unified Entropy Optimization for Open-Set Test-Time Adaptation Zhengqing Gao Xu-Yao Zhang Cheng-Lin Liu TTA 109 7 0 09 Apr 2024
Out-of-Distribution Data: An Acquaintance of Adversarial Examples -- A Survey Naveen Karunanayake Ravin Gunawardena Suranga Seneviratne Sanjay Chawla OOD 91 7 0 08 Apr 2024
On the Learnability of Out-of-distribution Detection Zhen Fang Yixuan Li Feng Liu Bo Han Jie Lu 56 8 0 07 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 116 6 0 07 Apr 2024
Learning Transferable Negative Prompts for Out-of-Distribution Detection Tianqi Li Guansong Pang Xiaolong Bai Wenjun Miao Jingyi Zheng VLM 104 18 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 70 5 0 02 Apr 2024
AETTA: Label-Free Accuracy Estimation for Test-Time Adaptation Taeckyung Lee Sorn Chottananurak Taesik Gong Sung-Ju Lee 85 3 0 01 Apr 2024
Lipsum-FT: Robust Fine-Tuning of Zero-Shot Models Using Random Text Guidance G. Nam Byeongho Heo Juho Lee VLM 73 7 0 01 Apr 2024