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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
Plugin estimators for selective classification with out-of-distribution detection Harikrishna Narasimhan A. Menon Wittawat Jitkrittum Surinder Kumar OODD 75 4 0 29 Jan 2023
Neural Relation Graph: A Unified Framework for Identifying Label Noise and Outlier Data Jang-Hyun Kim Sangdoo Yun Hyun Oh Song 85 19 0 29 Jan 2023
Probing Out-of-Distribution Robustness of Language Models with Parameter-Efficient Transfer Learning Hyunsoo Cho Choonghyun Park Junyeop Kim Sungmin Cho Kang Min Yoo Sang-goo Lee OODD 87 3 0 27 Jan 2023
Improving Open-Set Semi-Supervised Learning with Self-Supervision Erik Wallin Lennart Svensson Fredrik Kahl Lars Hammarstrand 109 9 0 24 Jan 2023
Interpretable Out-Of-Distribution Detection Using Pattern Identification Romain Xu-Darme Julien Girard-Satabin Darryl Hond Gabriele Incorvaia Zakaria Chihani OODD 60 4 0 24 Jan 2023
Hybrid Open-set Segmentation with Synthetic Negative Data Matej Grcić Sinivsa vSegvić 83 6 0 19 Jan 2023
A Multi-Scale Framework for Out-of-Distribution Detection in Dermoscopic Images Zhongzheng Huang Tao Wang Yuanzheng Cai Lingyu Liang 47 0 0 18 Jan 2023
Free Lunch for Generating Effective Outlier Supervision Sen Pei Jiaxi Sun R. Xu Bin Fan Shiming Xiang Gaofeng Meng OODD 71 0 0 17 Jan 2023
On Advantages of Mask-level Recognition for Outlier-aware Segmentation Matej Grcić Josip vSarić Sinivsa vSegvić UQCV 166 34 0 09 Jan 2023
Detection of out-of-distribution samples using binary neuron activation patterns Bartlomiej Olber Krystian Radlak A. Popowicz Michal Szczepankiewicz K. Chachula OODD 56 17 0 29 Dec 2022
Boosting Out-of-Distribution Detection with Multiple Pre-trained Models Feng Xue Zi He Chuanlong Xie Falong Tan Zhenguo Li OODD 123 7 0 24 Dec 2022
Detecting Objects with Context-Likelihood Graphs and Graph Refinement Aritra Bhowmik Yu Wang N. Baka Martin R. Oswald Cees G. M. Snoek 75 2 0 23 Dec 2022
Rainproof: An Umbrella To Shield Text Generators From Out-Of-Distribution Data Maxime Darrin Pablo Piantanida Pierre Colombo OODD 222 15 0 18 Dec 2022
Accurate Open-set Recognition for Memory Workload Jun-Gi Jang Sooyeon Shim Vladimir Egay Jeeyong Lee J. Park Suhyun Chae U. Kang 29 3 0 17 Dec 2022
An Upper Bound for the Distribution Overlap Index and Its Applications Hao Xu Prashanth Krishnamurthy S. Garg Farshad Khorrami VLM 61 0 0 16 Dec 2022
FewFedWeight: Few-shot Federated Learning Framework across Multiple NLP Tasks Weilong Dong Xinwei Wu Junzhuo Li Shuangzhi Wu Chao Bian Deyi Xiong FedML 106 6 0 16 Dec 2022
An Exploratory Study of AI System Risk Assessment from the Lens of Data Distribution and Uncertainty Zhijie Wang Yuheng Huang Lei Ma Haruki Yokoyama Susumu Tokumoto Kazuki Munakata 64 4 0 13 Dec 2022
Block Selection Method for Using Feature Norm in Out-of-distribution Detection Yeonguk Yu Sungho Shin Seongju Lee C. Jun Kyoobin Lee OODD 79 35 0 05 Dec 2022
YolOOD: Utilizing Object Detection Concepts for Multi-Label Out-of-Distribution Detection Alon Zolfi Guy Amit A. Baras Satoru Koda I. Morikawa Yuval Elovici A. Shabtai OODD 93 1 0 05 Dec 2022
PROB: Probabilistic Objectness for Open World Object Detection O. Zohar Kuan-Chieh Wang Serena Yeung 83 63 0 02 Dec 2022
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 65 8 0 30 Nov 2022
Out-Of-Distribution Detection Is Not All You Need Joris Guérin Kevin Delmas Raul Sena Ferreira Jérémie Guiochet OODD 115 33 0 29 Nov 2022
Isolation and Impartial Aggregation: A Paradigm of Incremental Learning without Interference Yabin Wang Zhiheng Ma Zhiwu Huang Yaowei Wang Zhou Su Xiaopeng Hong 93 43 0 29 Nov 2022
Residual Pattern Learning for Pixel-wise Out-of-Distribution Detection in Semantic Segmentation Yuyuan Liu Choubo Ding Yu Tian Guansong Pang Vasileios Belagiannis Ian Reid G. Carneiro OODD 112 40 0 26 Nov 2022
RbA: Segmenting Unknown Regions Rejected by All Nazir Nayal Mısra Yavuz João F. Henriques Fatma Guney UQCV 92 47 0 25 Nov 2022
End-to-End Stochastic Optimization with Energy-Based Model Lingkai Kong Jiaming Cui Yuchen Zhuang Rui Feng B. Prakash Chao Zhang 51 17 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 102 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 128 174 0 24 Nov 2022
Diffusion Denoising Process for Perceptron Bias in Out-of-distribution Detection Luping Liu Yi Ren Xize Cheng Rongjie Huang Chongxuan Li Zhou Zhao 53 7 0 21 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 Yang Liu 101 11 0 17 Nov 2022
Heatmap-based Out-of-Distribution Detection Julia Hornauer Vasileios Belagiannis OODD 61 7 0 15 Nov 2022
Far Away in the Deep Space: Dense Nearest-Neighbor-Based Out-of-Distribution Detection Silvio Galesso Max Argus Thomas Brox UQCV 96 11 0 12 Nov 2022
Estimating Soft Labels for Out-of-Domain Intent Detection Hao Lang Yinhe Zheng Jian Sun Feiling Huang Luo Si Yongbin Li 87 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 104 13 0 09 Nov 2022
Soft Augmentation for Image Classification Yang Liu Shen Yan Laura Leal-Taixé James Hays Deva Ramanan 74 12 0 09 Nov 2022
Interpreting deep learning output for out-of-distribution detection Damian J. Matuszewski I. Sintorn OODD 57 1 0 07 Nov 2022
A Theoretical Study on Solving Continual Learning Gyuhak Kim Changnan Xiao Tatsuya Konishi Zixuan Ke Bin Liu CLL 86 78 0 04 Nov 2022
Learning Probabilistic Models from Generator Latent Spaces with Hat EBM Mitch Hill Erik Nijkamp Jonathan Mitchell Bo Pang Song-Chun Zhu 405 12 0 29 Oct 2022
Towards Generalized Few-Shot Open-Set Object Detection Binyi Su Qichuan Geng Jingzhi Li Zhongjun Zhou 117 10 0 28 Oct 2022
On Out-of-Distribution Detection for Audio with Deep Nearest Neighbors Zaharah Bukhsh Aaqib Saeed OODD 74 9 0 27 Oct 2022
Watermarking for Out-of-distribution Detection Qizhou Wang Feng Liu Yonggang Zhang Jing Zhang Chen Gong Tongliang Liu Bo Han OODD 88 32 0 27 Oct 2022
Is Out-of-Distribution Detection Learnable? Zhen Fang Yixuan Li Jie Lu Jiahua Dong Bo Han Feng Liu OODD 144 133 0 26 Oct 2022
Augmentation by Counterfactual Explanation -- Fixing an Overconfident Classifier Sumedha Singla Nihal Murali Forough Arabshahi Sofia Triantafyllou Kayhan Batmanghelich CML 122 5 0 21 Oct 2022
Enhancing Out-of-Distribution Detection in Natural Language Understanding via Implicit Layer Ensemble Hyunsoo Cho Choonghyun Park Jaewoo Kang Kang Min Yoo Taeuk Kim Sang-goo Lee OODD 119 8 0 20 Oct 2022
Uncertainty in Extreme Multi-label Classification Jyun-Yu Jiang Wei-Cheng Chang Jiong Zhong Cho-Jui Hsieh Hsiang-Fu Yu UQCV 82 0 0 18 Oct 2022
Towards Fair Classification against Poisoning Attacks Han Xu Xiaorui Liu Yuxuan Wan Jiliang Tang 81 2 0 18 Oct 2022
Towards Generating Adversarial Examples on Mixed-type Data Han Xu Menghai Pan Zhimeng Jiang Huiyuan Chen Xiaoting Li Mahashweta Das Hao Yang AAML SILM 110 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 54 3 0 17 Oct 2022
Handling Label Uncertainty for Camera Incremental Person Re-Identification Zexi Yang Dayan Wu Wanqian Zhang Bo Li Weiping Wang 64 7 0 17 Oct 2022
Holistic Sentence Embeddings for Better Out-of-Distribution Detection Sishuo Chen Xiaohan Bi Rundong Gao Xu Sun OODD 82 4 0 14 Oct 2022