Energy-based Out-of-distribution Detection

8 October 2020

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

50 / 816 papers shown

Title
Multiobjective Evolutionary Pruning of Deep Neural Networks with Transfer Learning for improving their Performance and Robustness Javier Poyatos Daniel Molina Aitor Martínez Javier Del Ser Francisco Herrera 37 10 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 21 1 0 19 Feb 2023
Unsupervised Evaluation of Out-of-distribution Detection: A Data-centric Perspective Yuhang Zhang Weihong Deng Liang Zheng OODD 32 4 0 16 Feb 2023
Uncertainty-Estimation with Normalized Logits for Out-of-Distribution Detection Mou-Yue Huang Yu Qiao 19 2 0 15 Feb 2023
Density-Softmax: Efficient Test-time Model for Uncertainty Estimation and Robustness under Distribution Shifts H. Bui Anqi Liu OOD UQCV 23 6 0 13 Feb 2023
Predicting Out-of-Distribution Error with Confidence Optimal Transport Yuzhe Lu Zhenlin Wang Runtian Zhai Soheil Kolouri Joseph Campbell Katia P. Sycara OODD 24 10 0 10 Feb 2023
Continuous Learning for Android Malware Detection Yizheng Chen Zhoujie Ding David Wagner 42 32 0 08 Feb 2023
Robustness to Spurious Correlations Improves Semantic Out-of-Distribution Detection Lily H. Zhang Rajesh Ranganath OODD 32 6 0 08 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
Rethinking Out-of-distribution (OOD) Detection: Masked Image Modeling is All You Need Jingyao Li Pengguang Chen Shaozuo Yu Zexin He Shu Liu Jiaya Jia OODD 30 42 0 06 Feb 2023
A Minimax Approach Against Multi-Armed Adversarial Attacks Detection Federica Granese Marco Romanelli S. Garg Pablo Piantanida AAML 27 0 0 04 Feb 2023
AIROGS: Artificial Intelligence for RObust Glaucoma Screening Challenge Coen de Vente Koen A. Vermeer Nicolas Jaccard He Wang Hongyi Sun ... Abdul Qayyum Imran Razzak Bram van Ginneken H. Lemij Clara I. Sánchez 29 56 0 03 Feb 2023
Algorithm Design for Online Meta-Learning with Task Boundary Detection Daouda Sow Sen Lin Yitao Liang Junshan Zhang OOD 48 1 0 02 Feb 2023
Versatile Energy-Based Probabilistic Models for High Energy Physics Taoli Cheng Aaron Courville DiffM 19 0 0 01 Feb 2023
Normalizing Flow based Feature Synthesis for Outlier-Aware Object Detection Nishant Kumar Sinisa Segvic Abouzar Eslami Stefan Gumhold 47 13 0 01 Feb 2023
Affinity Uncertainty-based Hard Negative Mining in Graph Contrastive Learning Chaoxi Niu Guansong Pang Ling-Hao Chen 24 9 0 31 Jan 2023
Fine-Tuning Deteriorates General Textual Out-of-Distribution Detection by Distorting Task-Agnostic Features Sishuo Chen Wenkai Yang Xiaohan Bi Xu Sun OODD 20 13 0 30 Jan 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
Neural Relation Graph: A Unified Framework for Identifying Label Noise and Outlier Data Jang-Hyun Kim Sangdoo Yun Hyun Oh Song 34 18 0 29 Jan 2023
Probing Out-of-Distribution Robustness of Language Models with Parameter-Efficient Transfer Learning Hyunsoo Cho Choonghyun Park Junyeop Kim Hyuhng Joon Kim Kang Min Yoo Sang-goo Lee OODD 35 3 0 27 Jan 2023
Improving Open-Set Semi-Supervised Learning with Self-Supervision Erik Wallin Lennart Svensson Fredrik Kahl Lars Hammarstrand 34 7 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 30 3 0 24 Jan 2023
Hybrid Open-set Segmentation with Synthetic Negative Data Matej Grcić Sinivsa vSegvić 16 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 27 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 44 0 0 17 Jan 2023
On Advantages of Mask-level Recognition for Outlier-aware Segmentation Matej Grcić Josip vSarić Sinivsa vSegvić UQCV 89 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 19 16 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 35 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 24 2 0 23 Dec 2022
Rainproof: An Umbrella To Shield Text Generators From Out-Of-Distribution Data Maxime Darrin Pablo Piantanida Pierre Colombo OODD 53 13 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 27 3 0 17 Dec 2022
An Upper Bound for the Distribution Overlap Index and Its Applications Hao Fu Prashanth Krishnamurthy S. Garg Farshad Khorrami VLM 24 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 34 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 29 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 25 31 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 30 1 0 05 Dec 2022
PROB: Probabilistic Objectness for Open World Object Detection O. Zohar Kuan-Chieh Jackson Wang Serena Yeung 17 58 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 32 7 0 30 Nov 2022
Out-Of-Distribution Detection Is Not All You Need Joris Guérin Kevin Delmas Raul Sena Ferreira Jérémie Guiochet OODD 29 32 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 25 41 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 24 37 0 26 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
End-to-End Stochastic Optimization with Energy-Based Model Lingkai Kong Jiaming Cui Yuchen Zhuang Rui Feng B. Prakash Chao Zhang 24 16 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 54 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 66 159 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 34 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 Yong-Jin Liu 26 11 0 17 Nov 2022
Heatmap-based Out-of-Distribution Detection Julia Hornauer Vasileios Belagiannis OODD 24 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 33 11 0 12 Nov 2022