Likelihood Ratios for Out-of-Distribution Detection

7 June 2019

Balaji Lakshminarayanan

OODD

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Papers citing "Likelihood Ratios for Out-of-Distribution Detection"

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Likelihood-Based Text-to-Image Evaluation with Patch-Level Perceptual and Semantic Credit Assignment Qi Chen Chaorui Deng Zixiong Huang Bowen Zhang Mingkui Tan Qi Wu EGVM 19 0 0 16 Aug 2023
Learning on Graphs with Out-of-Distribution Nodes Yunho Song Donglin Wang OODD 19 38 0 13 Aug 2023
Joint Out-of-Distribution Detection and Uncertainty Estimation for Trajectory Prediction Julian Wiederer Julian Schmidt U. Kressel Klaus C. J. Dietmayer Vasileios Belagiannis UQCV 58 6 0 03 Aug 2023
GIT: Detecting Uncertainty, Out-Of-Distribution and Adversarial Samples using Gradients and Invariance Transformations Julia Lust A. P. Condurache AAML UQCV 16 0 0 05 Jul 2023
Morse Neural Networks for Uncertainty Quantification Benoit Dherin Huiyi Hu Jie Jessie Ren Michael W. Dusenberry Balaji Lakshminarayanan UQCV AI4CE 21 4 0 02 Jul 2023
Beyond AUROC & co. for evaluating out-of-distribution detection performance Galadrielle Humblot-Renaux Sergio Escalera T. Moeslund OODD 22 4 0 26 Jun 2023
Vacant Holes for Unsupervised Detection of the Outliers in Compact Latent Representation Misha Glazunov Apostolis Zarras AAML DRL 15 1 0 16 Jun 2023
BED: Bi-Encoder-Based Detectors for Out-of-Distribution Detection Louis Owen Biddwan Ahmed Abhay Kumar OODD 19 0 0 15 Jun 2023
Distribution Shift Inversion for Out-of-Distribution Prediction Runpeng Yu Songhua Liu Xingyi Yang Xinchao Wang OODD 18 18 0 14 Jun 2023
Learning Unnormalized Statistical Models via Compositional Optimization Wei Jiang Jiayu Qin Lingyu Wu Changyou Chen Tianbao Yang Lijun Zhang 28 3 0 13 Jun 2023
A Functional Data Perspective and Baseline On Multi-Layer Out-of-Distribution Detection Eduardo Dadalto Camara Gomes Pierre Colombo Guillaume Staerman Nathan Noiry Pablo Piantanida OODD 33 2 0 06 Jun 2023
LoCoOp: Few-Shot Out-of-Distribution Detection via Prompt Learning Atsuyuki Miyai Qing Yu Go Irie Kiyoharu Aizawa OODD 32 65 0 02 Jun 2023
Building One-class Detector for Anything: Open-vocabulary Zero-shot OOD Detection Using Text-image Models Yunhao Ge Jie Jessie Ren Jiaping Zhao Kaifeng Chen Andrew Gallagher Laurent Itti Balaji Lakshminarayanan VLM ObjD 26 1 0 26 May 2023
SR-OOD: Out-of-Distribution Detection via Sample Repairing Ruiyong Sun Andi Zhang Haiming Zhang Jinke Ren Yao Zhu Ruimao Zhang Shuguang Cui Zhen Li OODD 28 1 0 26 May 2023
SELFOOD: Self-Supervised Out-Of-Distribution Detection via Learning to Rank Dheeraj Mekala Adithya Samavedhi Chengyu Dong Jingbo Shang OODD 29 2 0 24 May 2023
Is Fine-tuning Needed? Pre-trained Language Models Are Near Perfect for Out-of-Domain Detection Rheeya Uppaal Junjie Hu Yixuan Li OODD 119 33 0 22 May 2023
A Survey of Safety and Trustworthiness of Large Language Models through the Lens of Verification and Validation Xiaowei Huang Wenjie Ruan Wei Huang Gao Jin Yizhen Dong ... Sihao Wu Peipei Xu Dengyu Wu André Freitas Mustafa A. Mustafa ALM 45 83 0 19 May 2023
Out-of-Distribution Detection for Adaptive Computer Vision S. Lind Rudolph Triebel Luigi Nardi V. Krüger OODD 22 2 0 16 May 2023
Out-of-Domain Intent Detection Considering Multi-Turn Dialogue Contexts Hao Lang Yinhe Zheng Binyuan Hui Fei Huang Yongbin Li 34 4 0 05 May 2023
A Survey on Out-of-Distribution Detection in NLP Hao Lang Yinhe Zheng Yixuan Li Jian Sun Feiling Huang Yongbin Li 29 20 0 05 May 2023
Unsupervised anomaly localization in high-resolution breast scans using deep pluralistic image completion N. Konz Haoyu Dong Maciej Mazurowski 24 2 0 04 May 2023
Out-of-distribution detection algorithms for robust insect classification M. Saadati Prithviraj Ammanabrolu Shivani Chiranjeevi Talukder Zaki Jubery Mark O. Riedl S. Sarkar Arti Singh Baskar Ganapathysubramanian OODD 47 8 0 02 May 2023
Logion: Machine Learning for Greek Philology Charlie Cowen-Breen Creston Brooks J. Haubold B. Graziosi 24 4 0 01 May 2023
K-means Clustering Based Feature Consistency Alignment for Label-free Model Evaluation Shuyu Miao Lin Zheng Jiaheng Liu and Hong Jin 36 5 0 17 Apr 2023
Toward Reliable Human Pose Forecasting with Uncertainty Saeed Saadatnejad Mehrshad Mirmohammadi Matin Daghyani Parham Saremi Yashar Zoroofchi Benisi Amir Alimohammadi Zahra Tehraninasab Taylor Mordan Alexandre Alahi 19 5 0 13 Apr 2023
In-Distribution and Out-of-Distribution Self-supervised ECG Representation Learning for Arrhythmia Detection S. Soltanieh J. Hashemi Ali Etemad 27 11 0 13 Apr 2023
Fully Variational Noise-Contrastive Estimation Christopher Zach BDL DRL 19 2 0 04 Apr 2023
Enhancing Multiple Reliability Measures via Nuisance-extended Information Bottleneck Jongheon Jeong Sihyun Yu Hankook Lee Jinwoo Shin AAML 44 0 0 24 Mar 2023
Anomaly Detection under Distribution Shift T. Cao Jiawen Zhu Guansong Pang 48 26 0 24 Mar 2023
Explanation Shift: How Did the Distribution Shift Impact the Model? Carlos Mougan Klaus Broelemann David Masip Gjergji Kasneci Thanassis Thiropanis Steffen Staab FAtt 22 1 0 14 Mar 2023
Adapting Contrastive Language-Image Pretrained (CLIP) Models for Out-of-Distribution Detection Nikolas Adaloglou Félix D. P. Michels Tim Kaiser M. Kollmann VLM 37 0 0 10 Mar 2023
How to Construct Energy for Images? Denoising Autoencoder Can Be Energy Based Model W. Zeng DiffM 39 1 0 05 Mar 2023
DeepLens: Interactive Out-of-distribution Data Detection in NLP Models D. Song Zhijie Wang Yuheng Huang Lei Ma Tianyi Zhang 26 4 0 02 Mar 2023
T-Cell Receptor Optimization with Reinforcement Learning and Mutation Policies for Precesion Immunotherapy Ziqi Chen Martin Renqiang Min Hongyu Guo Chao Cheng T. Clancy Xia Ning 11 1 0 02 Mar 2023
Average of Pruning: Improving Performance and Stability of Out-of-Distribution Detection Zhen Cheng Fei Zhu Xu-Yao Zhang Cheng-Lin Liu MoMe OODD 40 11 0 02 Mar 2023
Unsupervised Out-of-Distribution Detection with Diffusion Inpainting Zhenzhen Liu Jinjie Zhou Yufan Wang Kilian Q. Weinberger DiffM 21 37 0 20 Feb 2023
Unsupervised Layer-wise Score Aggregation for Textual OOD Detection Maxime Darrin Guillaume Staerman Eduardo Dadalto Camara Gomes Jackie CK Cheung Pablo Piantanida Pierre Colombo OODD 55 11 0 20 Feb 2023
Gradient-based Wang-Landau Algorithm: A Novel Sampler for Output Distribution of Neural Networks over the Input Space Weitang Liu Ying-Wai Li Yi-Zhuang You Jingbo Shang 16 1 0 19 Feb 2023
Explainable Anomaly Detection in Images and Videos: A Survey Yizhou Wang Dongliang Guo Sheng Li Octavia Camps Yun Fu 29 5 0 13 Feb 2023
A Simple Zero-shot Prompt Weighting Technique to Improve Prompt Ensembling in Text-Image Models J. Allingham Jie Jessie Ren Michael W. Dusenberry Xiuye Gu Huayu Chen Dustin Tran J. Liu Balaji Lakshminarayanan LLMAG VLM 35 33 0 13 Feb 2023
Energy-based Out-of-Distribution Detection for Graph Neural Networks Qitian Wu Yiting Chen Chenxiao Yang Junchi Yan OODD 27 57 0 06 Feb 2023
Cluster-aware Contrastive Learning for Unsupervised Out-of-distribution Detection Menglong Chen Xingtai Gui Shicai Fan OODD 13 1 0 06 Feb 2023
Versatile Energy-Based Probabilistic Models for High Energy Physics Taoli Cheng Aaron Courville DiffM 17 0 0 01 Feb 2023
Plugin estimators for selective classification with out-of-distribution detection Harikrishna Narasimhan A. Menon Wittawat Jitkrittum Surinder Kumar OODD 36 4 0 29 Jan 2023
CRADL: Contrastive Representations for Unsupervised Anomaly Detection and Localization Carsten T. Lüth David Zimmerer Gregor Koehler Paul F. Jaeger Fabian Isensee Jens Petersen Klaus H. Maier-Hein UQCV MedIm 19 4 0 05 Jan 2023
Do Bayesian Variational Autoencoders Know What They Don't Know? Misha Glazunov Apostolis Zarras UQCV BDL 28 5 0 29 Dec 2022
Key Feature Replacement of In-Distribution Samples for Out-of-Distribution Detection Jaeyoung Kim Seo Taek Kong Dongbin Na Kyu-Hwan Jung OODD 24 4 0 26 Dec 2022
Out-of-Distribution Detection with Reconstruction Error and Typicality-based Penalty Genki Osada Tsubasa Takahashi Budrul Ahsan Takashi Nishide OODD 19 13 0 24 Dec 2022
EndoBoost: a plug-and-play module for false positive suppression during computer-aided polyp detection in real-world colonoscopy (with dataset) Haoran Wang Yan Zhu W. Qin Yizhe Zhang Pinghong Zhou Quanlin Li Shuo Wang Zhijian Song 29 2 0 23 Dec 2022
A Learning Based Hypothesis Test for Harmful Covariate Shift T. Ginsberg Zhongyuan Liang Rahul G. Krishnan 16 11 0 06 Dec 2022