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
Rethinking Out-of-Distribution Detection From a Human-Centric Perspective Yao Zhu YueFeng Chen Xiaodan Li Rong Zhang Hui Xue Xiang Tian Rongxin Jiang Bo Zheng Yao-wu Chen OODD 30 7 0 30 Nov 2022
Building Resilience to Out-of-Distribution Visual Data via Input Optimization and Model Finetuning Christopher J. Holder Majid Khonji Jorge Dias Muhammad Shafique 12 0 0 29 Nov 2022
RbA: Segmenting Unknown Regions Rejected by All Nazir Nayal Mısra Yavuz João F. Henriques Fatma Guney UQCV 19 46 0 25 Nov 2022
Beyond Mahalanobis-Based Scores for Textual OOD Detection Pierre Colombo Eduardo Dadalto Camara Gomes Guillaume Staerman Nathan Noiry Pablo Piantanida OODD 52 5 0 24 Nov 2022
Delving into Out-of-Distribution Detection with Vision-Language Representations Yifei Ming Ziyan Cai Jiuxiang Gu Yiyou Sun W. Li Yixuan Li VLM OODD 58 159 0 24 Nov 2022
FRE: A Fast Method For Anomaly Detection And Segmentation I. Ndiour Nilesh A. Ahuja Ergin Utku Genc Omesh Tickoo 48 2 0 23 Nov 2022
DSLOB: A Synthetic Limit Order Book Dataset for Benchmarking Forecasting Algorithms under Distributional Shift Defu Cao Yousef El-Laham Loc Trinh Svitlana Vyetrenko Yong-Jin Liu 26 11 0 17 Nov 2022
Anomaly Detection via Multi-Scale Contrasted Memory Loic Jezequel Ngoc-Son Vu Jean Beaudet A. Histace 27 0 0 16 Nov 2022
Interpretable Self-Aware Neural Networks for Robust Trajectory Prediction Masha Itkina Mykel J. Kochenderfer EDL UQCV 26 26 0 16 Nov 2022
Denoising diffusion models for out-of-distribution detection M. Graham W. H. Pinaya Petru-Daniel Tudosiu P. Nachev Sebastien Ourselin M. Jorge Cardoso 38 72 0 14 Nov 2022
Estimating Soft Labels for Out-of-Domain Intent Detection Hao Lang Yinhe Zheng Jian Sun Feiling Huang Luo Si Yongbin Li 37 15 0 10 Nov 2022
DC-Check: A Data-Centric AI checklist to guide the development of reliable machine learning systems Nabeel Seedat F. Imrie M. Schaar 27 12 0 09 Nov 2022
GOOD-D: On Unsupervised Graph Out-Of-Distribution Detection Yixin Liu Kaize Ding Huan Liu Shirui Pan 26 55 0 08 Nov 2022
Watermarking for Out-of-distribution Detection Qizhou Wang Feng Liu Yonggang Zhang Jing Zhang Chen Gong Tongliang Liu Bo Han OODD 24 31 0 27 Oct 2022
Is Out-of-Distribution Detection Learnable? Zhen Fang Yixuan Li Jie Lu Jiahua Dong Bo Han Feng Liu OODD 32 125 0 26 Oct 2022
Improving Adversarial Robustness via Joint Classification and Multiple Explicit Detection Classes Sina Baharlouei Fatemeh Sheikholeslami Meisam Razaviyayn Zico Kolter AAML 19 6 0 26 Oct 2022
Bridging Machine Learning and Sciences: Opportunities and Challenges Taoli Cheng UQCV OOD AI4CE 27 2 0 24 Oct 2022
Falsehoods that ML researchers believe about OOD detection Andi Zhang Damon J. Wischik OODD 13 6 0 23 Oct 2022
Augmentation by Counterfactual Explanation -- Fixing an Overconfident Classifier Sumedha Singla Nihal Murali Forough Arabshahi Sofia Triantafyllou Kayhan Batmanghelich CML 59 4 0 21 Oct 2022
Window-Based Distribution Shift Detection for Deep Neural Networks Guy Bar-Shalom Yonatan Geifman Ran El-Yaniv 20 3 0 19 Oct 2022
UniNL: Aligning Representation Learning with Scoring Function for OOD Detection via Unified Neighborhood Learning Yutao Mou Pei Wang Keqing He Yanan Wu Jingang Wang Wei Wu Weiran Xu 18 6 0 19 Oct 2022
Autoregressive Generative Modeling with Noise Conditional Maximum Likelihood Estimation Henry Li Y. Kluger 30 2 0 19 Oct 2022
Disentangling the Predictive Variance of Deep Ensembles through the Neural Tangent Kernel Seijin Kobayashi Pau Vilimelis Aceituno J. Oswald UQCV 29 2 0 18 Oct 2022
Pseudo-OOD training for robust language models Dhanasekar Sundararaman Nikhil Mehta Lawrence Carin 25 0 0 17 Oct 2022
Disentangling Confidence Score Distribution for Out-of-Domain Intent Detection with Energy-Based Learning Yanan Wu Zhiyuan Zeng Keqing He Yutao Mou Pei Wang Yuanmeng Yan Weiran Xu OODD 19 3 0 17 Oct 2022
Benchmarking Long-tail Generalization with Likelihood Splits Ameya Godbole Robin Jia ALM 24 8 0 13 Oct 2022
Meta-Query-Net: Resolving Purity-Informativeness Dilemma in Open-set Active Learning Dongmin Park Yooju Shin Jihwan Bang Youngjune Lee Hwanjun Song Jae-Gil Lee 62 24 0 13 Oct 2022
Large-Scale Open-Set Classification Protocols for ImageNet Jesus Andres Palechor Anacona Annesha Bhoumik Manuel Günther 42 7 0 13 Oct 2022
VL4Pose: Active Learning Through Out-Of-Distribution Detection For Pose Estimation Megh Shukla Roshan Roy Pankaj Singh Shuaib Ahmed Alexandre Alahi 33 12 0 12 Oct 2022
Detect, Distill and Update: Learned DB Systems Facing Out of Distribution Data M. Kurmanji Peter Triantafillou OOD AAML 33 18 0 11 Oct 2022
Synthetic Model Combination: An Instance-wise Approach to Unsupervised Ensemble Learning Alex J. Chan M. Schaar OOD 47 1 0 11 Oct 2022
Sequential change-point detection: Computation versus statistical performance Haoyun Wang Yao Xie AI4TS 27 7 0 11 Oct 2022
GMMSeg: Gaussian Mixture based Generative Semantic Segmentation Models Chen Liang Wenguan Wang Jiaxu Miao Yi Yang VLM 39 117 0 05 Oct 2022
GAPX: Generalized Autoregressive Paraphrase-Identification X Yi Zhou Renyu Li Hayden Housen Ser-Nam Lim BDL 30 0 0 05 Oct 2022
Out-of-Distribution Detection and Selective Generation for Conditional Language Models Jie Jessie Ren Jiaming Luo Yao-Min Zhao Kundan Krishna Mohammad Saleh Balaji Lakshminarayanan Peter J. Liu OODD 72 96 0 30 Sep 2022
Scale-invariant Bayesian Neural Networks with Connectivity Tangent Kernel Sungyub Kim Si-hun Park Kyungsu Kim Eunho Yang BDL 29 4 0 30 Sep 2022
Out-of-Distribution Detection for LiDAR-based 3D Object Detection Chengjie Huang Van Duong Nguyen Vahdat Abdelzad Christopher Gus Mannes Luke Rowe Benjamin Therien Rick Salay Krzysztof Czarnecki OODD 3DPC 145 18 0 28 Sep 2022
A Comprehensive Review of Trends, Applications and Challenges In Out-of-Distribution Detection Navid Ghassemi E. F. Ersi AAML OODD 23 4 0 26 Sep 2022
Out-of-Distribution Detection with Hilbert-Schmidt Independence Optimization Jingyang Lin Yu Wang Qi Cai Yingwei Pan Ting Yao Hongyang Chao Tao Mei OODD 28 3 0 26 Sep 2022
Provably Uncertainty-Guided Universal Domain Adaptation Yifan Wang Lin Zhang Ran Song Paul L. Rosin Yibin Li Wei Emma Zhang OOD UQCV 42 0 0 19 Sep 2022
RankFeat: Rank-1 Feature Removal for Out-of-distribution Detection Yue Song N. Sebe Wei Wang OODD 61 52 0 18 Sep 2022
Topological Structure Learning for Weakly-Supervised Out-of-Distribution Detection Rundong He Rong Li Zhongyi Han Yilong Yin 40 5 0 16 Sep 2022
Generalized Intent Discovery: Learning from Open World Dialogue System Yutao Mou Keqing He Yanan Wu Pei Wang Jingang Wang Wei Wu Y. Huang Junlan Feng Weiran Xu 37 8 0 13 Sep 2022
Positive Difference Distribution for Image Outlier Detection using Normalizing Flows and Contrastive Data R. Schmier Ullrich Kothe C. Straehle 21 5 0 30 Aug 2022
SAFE: Sensitivity-Aware Features for Out-of-Distribution Object Detection Samuel Wilson Tobias Fischer Feras Dayoub Dimity Miller Niko Sünderhauf OODD 31 29 0 29 Aug 2022
Shaken, and Stirred: Long-Range Dependencies Enable Robust Outlier Detection with PixelCNN++ Barath Mohan Umapathi Kushal Chauhan Pradeep Shenoy D. Sridharan 37 0 0 29 Aug 2022
Towards In-distribution Compatibility in Out-of-distribution Detection Boxi Wu Jie Jiang Haidong Ren Zifan Du Wenxiao Wang Zhifeng Li Deng Cai Xiaofei He Binbin Lin Wei Liu OODD 24 1 0 29 Aug 2022
Towards Open Set Video Anomaly Detection Yuansheng Zhu Wentao Bao Qi Yu EDL 19 23 0 23 Aug 2022
The Value of Out-of-Distribution Data Ashwin De Silva Rahul Ramesh Carey E. Priebe Pratik Chaudhari Joshua T. Vogelstein OODD 23 11 0 23 Aug 2022
Evaluating Out-of-Distribution Detectors Through Adversarial Generation of Outliers Sangwoong Yoon Jinwon Choi Yonghyeon Lee Yung-Kyun Noh Frank C. Park OODD 21 1 0 20 Aug 2022