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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Title
Out-of-distribution Detection via Frequency-regularized Generative Models Mu Cai Yixuan Li OODD 18 31 0 18 Aug 2022
A Case for Rejection in Low Resource ML Deployment J. White Pulkit Madaan Nikhil Shenoy Apoorv Agnihotri Makkunda Sharma Jigar Doshi OffRL 10 3 0 12 Aug 2022
Curved Geometric Networks for Visual Anomaly Recognition Jie Hong Pengfei Fang Weihao Li Junlin Han L. Petersson Mehrtash Harandi 31 6 0 02 Aug 2022
XOOD: Extreme Value Based Out-Of-Distribution Detection For Image Classification Frej Berglind Haron Temam S. Mukhopadhyay K. Das Md Saiful Islam Sajol K. Sricharan Kumar Kallurupalli OODD 15 0 0 01 Aug 2022
Out-of-Distribution Detection with Semantic Mismatch under Masking Yijun Yang Ruiyuan Gao Qiang Xu OODD 24 27 0 31 Jul 2022
A Novel Data Augmentation Technique for Out-of-Distribution Sample Detection using Compounded Corruptions R. Hebbalaguppe Soumya Suvra Goshal Jatin Prakash H. Khadilkar Chetan Arora OODD 41 4 0 28 Jul 2022
Task Agnostic and Post-hoc Unseen Distribution Detection Radhika Dua Seong-sil Yang Yixuan Li Edward Choi OODD 16 10 0 26 Jul 2022
3DOS: Towards 3D Open Set Learning -- Benchmarking and Understanding Semantic Novelty Detection on Point Clouds A. Alliegro Francesco Cappio Borlino Tatiana Tommasi 3DPC 3DV 30 7 0 23 Jul 2022
TRUST-LAPSE: An Explainable and Actionable Mistrust Scoring Framework for Model Monitoring Nandita Bhaskhar D. Rubin Christopher Lee-Messer 15 5 0 22 Jul 2022
Rethinking Few-Shot Class-Incremental Learning with Open-Set Hypothesis in Hyperbolic Geometry Yawen Cui Zitong Yu Wei Peng Li Liu CLL 25 11 0 20 Jul 2022
Augmenting Softmax Information for Selective Classification with Out-of-Distribution Data Guoxuan Xia C. Bouganis OODD 16 27 0 15 Jul 2022
What is Flagged in Uncertainty Quantification? Latent Density Models for Uncertainty Categorization Hao Sun B. V. Breugel Jonathan Crabbé Nabeel Seedat M. Schaar 29 4 0 11 Jul 2022
Out-of-Distribution Detection in Time-Series Domain: A Novel Seasonal Ratio Scoring Approach Taha Belkhouja Yan Yan J. Doppa OODD AI4TS 24 3 0 09 Jul 2022
Harnessing Out-Of-Distribution Examples via Augmenting Content and Style Zhuo Huang Xiaobo Xia Li Shen Bo Han Biwei Huang Chen Gong Tongliang Liu OODD 38 46 0 07 Jul 2022
Back to the Basics: Revisiting Out-of-Distribution Detection Baselines Jo-Lan Kuan Jonas W. Mueller OODD 24 27 0 07 Jul 2022
Pareto Optimization for Active Learning under Out-of-Distribution Data Scenarios Xueying Zhan Zeyu Dai Qingzhong Wang Qing Li Haoyi Xiong Dejing Dou Antoni B. Chan OODD 11 3 0 04 Jul 2022
Batch-Ensemble Stochastic Neural Networks for Out-of-Distribution Detection Xiongjie Chen Yunpeng Li Yongxin Yang UQCV OODD 29 3 0 26 Jun 2022
Gated Domain Units for Multi-source Domain Generalization Simon Foll Alina Dubatovka Eugen Ernst Siu Lun Chau Martin Maritsch Patrik Okanovic Gudrun Thater J. M. Buhmann Felix Wortmann Krikamol Muandet OOD 38 3 0 24 Jun 2022
Breaking Down Out-of-Distribution Detection: Many Methods Based on OOD Training Data Estimate a Combination of the Same Core Quantities Julian Bitterwolf Alexander Meinke Maximilian Augustin Matthias Hein OODD 21 25 0 20 Jun 2022
Meta-learning for Out-of-Distribution Detection via Density Estimation in Latent Space Tomoharu Iwata Atsutoshi Kumagai OODD 12 2 0 20 Jun 2022
Dual Representation Learning for Out-of-Distribution Detection Zhilin Zhao LongBing Cao 21 2 0 19 Jun 2022
Out-of-distribution Detection by Cross-class Vicinity Distribution of In-distribution Data Zhilin Zhao LongBing Cao Kun-Yu Lin OOD 19 2 0 19 Jun 2022
Gray Learning from Non-IID Data with Out-of-distribution Samples Zhilin Zhao LongBing Cao Changbao Wang OOD OODD 45 1 0 19 Jun 2022
Improving generalization by mimicking the human visual diet Spandan Madan You Li Mengmi Zhang Hanspeter Pfister Gabriel Kreiman 17 2 0 15 Jun 2022
READ: Aggregating Reconstruction Error into Out-of-distribution Detection Wenyu Jiang Yuxin Ge Hao Cheng Mingcai Chen Shuai Feng Chongjun Wang OODD 29 11 0 15 Jun 2022
Out-of-Distribution Detection with Class Ratio Estimation Mingtian Zhang Andi Zhang Tim Z. Xiao Yitong Sun Jingyu Sun OODD 14 4 0 08 Jun 2022
What do we learn? Debunking the Myth of Unsupervised Outlier Detection Cosmin I. Bercea Daniel Rueckert J. Schnabel OODD 19 5 0 08 Jun 2022
Mitigating Out-of-Distribution Data Density Overestimation in Energy-Based Models Beomsu Kim Jong Chul Ye 16 1 0 30 May 2022
How Useful are Gradients for OOD Detection Really? Conor Igoe Youngseog Chung I. Char J. Schneider OODD 45 23 0 20 May 2022
Interpolating Compressed Parameter Subspaces Siddhartha Datta N. Shadbolt 37 5 0 19 May 2022
Dimensionality Reduced Training by Pruning and Freezing Parts of a Deep Neural Network, a Survey Paul Wimmer Jens Mehnert A. P. Condurache DD 34 20 0 17 May 2022
Anatomy-aware Self-supervised Learning for Anomaly Detection in Chest Radiographs Junya Sato Yuki Suzuki T. Wataya Daiki Nishigaki Kosuke Kita Kazuki Yamagata Noriyuki Tomiyama Shoji Kido 18 14 0 09 May 2022
Norm-Scaling for Out-of-Distribution Detection Deepak Ravikumar Kaushik Roy OODD UQCV 24 2 0 06 May 2022
A Simple Approach to Improve Single-Model Deep Uncertainty via Distance-Awareness J. Liu Shreyas Padhy Jie Jessie Ren Zi Lin Yeming Wen Ghassen Jerfel Zachary Nado Jasper Snoek Dustin Tran Balaji Lakshminarayanan UQCV BDL 26 48 0 01 May 2022
Exploring How Anomalous Model Input and Output Alerts Affect Decision-Making in Healthcare Marissa Radensky Dustin Burson Rajya Bhaiya Daniel S. Weld 24 0 0 27 Apr 2022
Learning by Erasing: Conditional Entropy based Transferable Out-Of-Distribution Detection Meng Xing Zhiyong Feng Yong Su Changjae Oh OODD 21 3 0 23 Apr 2022
Sardino: Ultra-Fast Dynamic Ensemble for Secure Visual Sensing at Mobile Edge Qun Song Zhenyu Yan W. Luo Rui Tan AAML 14 2 0 18 Apr 2022
Diagnosing and Fixing Manifold Overfitting in Deep Generative Models G. Loaiza-Ganem Brendan Leigh Ross Jesse C. Cresswell Anthony L. Caterini GAN DRL 19 28 0 14 Apr 2022
Few-shot Learning with Noisy Labels Kevin J Liang Samrudhdhi B. Rangrej Vladan Petrovic Tal Hassner NoLa 22 47 0 12 Apr 2022
Full-Spectrum Out-of-Distribution Detection Jingkang Yang Kaiyang Zhou Ziwei Liu OODD 31 57 0 11 Apr 2022
Catching Both Gray and Black Swans: Open-set Supervised Anomaly Detection Choubo Ding Guansong Pang Chunhua Shen OOD 24 112 0 28 Mar 2022
Towards Textual Out-of-Domain Detection without In-Domain Labels Di Jin Shuyang Gao Seokhwan Kim Yang Liu Dilek Z. Hakkani-Tür 13 18 0 22 Mar 2022
Subspace Modeling for Fast Out-Of-Distribution and Anomaly Detection I. Ndiour Nilesh A. Ahuja Omesh Tickoo OODD 25 5 0 20 Mar 2022
Is it all a cluster game? -- Exploring Out-of-Distribution Detection based on Clustering in the Embedding Space Poulami Sinhamahapatra Rajat Koner Karsten Roscher Stephan Günnemann OODD 11 5 0 16 Mar 2022
Interspace Pruning: Using Adaptive Filter Representations to Improve Training of Sparse CNNs Paul Wimmer Jens Mehnert A. P. Condurache CVBM 25 20 0 15 Mar 2022
Igeood: An Information Geometry Approach to Out-of-Distribution Detection Eduardo Dadalto Camara Gomes F. Alberge Pierre Duhamel Pablo Piantanida OODD 28 27 0 15 Mar 2022
LesionPaste: One-Shot Anomaly Detection for Medical Images Weikai Huang Yijin Huang Xiaoying Tang MedIm 19 2 0 12 Mar 2022
How to Exploit Hyperspherical Embeddings for Out-of-Distribution Detection? Yifei Ming Yiyou Sun Ousmane Amadou Dia Yixuan Li OODD 26 95 0 08 Mar 2022
Unknown-Aware Object Detection: Learning What You Don't Know from Videos in the Wild Xuefeng Du Xin Wang Gabriel Gozum Yixuan Li OODD 43 91 0 08 Mar 2022
Model-agnostic out-of-distribution detection using combined statistical tests Federico Bergamin Pierre-Alexandre Mattei Jakob Drachmann Havtorn Hugo Senetaire Hugo Schmutz Lars Maaløe Søren Hauberg J. Frellsen OODD 24 18 0 02 Mar 2022