Energy-based Out-of-distribution Detection

8 October 2020

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

50 / 812 papers shown

Title
A Theoretical Study on Solving Continual Learning Gyuhak Kim Changnan Xiao Tatsuya Konishi Zixuan Ke Bin Liu CLL 19 70 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 91 11 0 29 Oct 2022
Towards Generalized Few-Shot Open-Set Object Detection Binyi Su Hua Zhang Jingzhi Li Zhongjun Zhou 48 9 0 28 Oct 2022
On Out-of-Distribution Detection for Audio with Deep Nearest Neighbors Z. Bukhsh Aaqib Saeed OODD 37 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 22 31 0 27 Oct 2022
Is Out-of-Distribution Detection Learnable? Zhen Fang Yixuan Li Jie Lu Jiahua Dong Bo Han Feng Liu OODD 30 124 0 26 Oct 2022
Augmentation by Counterfactual Explanation -- Fixing an Overconfident Classifier Sumedha Singla Nihal Murali Forough Arabshahi Sofia Triantafyllou Kayhan Batmanghelich CML 49 4 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 22 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 16 0 0 18 Oct 2022
Towards Fair Classification against Poisoning Attacks Han Xu Xiaorui Liu Yuxuan Wan Jiliang Tang 11 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 8 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 14 3 0 17 Oct 2022
Handling Label Uncertainty for Camera Incremental Person Re-Identification Zexi Yang Dayan Wu Wanqian Zhang Bo Li Weiping Wang 17 7 0 17 Oct 2022
Holistic Sentence Embeddings for Better Out-of-Distribution Detection Sishuo Chen Xiaohan Bi Rundong Gao Xu Sun OODD 19 4 0 14 Oct 2022
Evaluating Out-of-Distribution Performance on Document Image Classifiers Stefan Larson Gordon Lim Yutong Ai David Kuang Kevin Leach OODD OOD 34 18 0 14 Oct 2022
OpenOOD: Benchmarking Generalized Out-of-Distribution Detection Jingkang Yang Pengyun Wang Dejian Zou Zitang Zhou Kun Ding ... Kaiyang Zhou Wayne Zhang Dan Hendrycks Yixuan Li Ziwei Liu OODD 28 225 0 13 Oct 2022
The Open-World Lottery Ticket Hypothesis for OOD Intent Classification Yunhua Zhou Pengyu Wang Peiju Liu Yuxin Wang Xipeng Qiu 21 2 0 13 Oct 2022
Exploiting Mixed Unlabeled Data for Detecting Samples of Seen and Unseen Out-of-Distribution Classes Yifang Sun W. Wang OODD 16 5 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 54 24 0 13 Oct 2022
Model Cascading: Towards Jointly Improving Efficiency and Accuracy of NLP Systems Neeraj Varshney Chitta Baral 17 27 0 11 Oct 2022
Towards Understanding and Boosting Adversarial Transferability from a Distribution Perspective Yao Zhu YueFeng Chen Xiaodan Li Kejiang Chen Yuan He Xiang Tian Bo Zheng Yao-wu Chen Qingming Huang AAML 27 57 0 09 Oct 2022
Boosting Out-of-distribution Detection with Typical Features Yao Zhu YueFeng Chen Chuanlong Xie Xiaodan Li Rong Zhang Hui Xue Xiang Tian Bolun Zheng Yao-wu Chen OODD 78 50 0 09 Oct 2022
GMMSeg: Gaussian Mixture based Generative Semantic Segmentation Models Chen Liang Wenguan Wang Jiaxu Miao Yi Yang VLM 33 117 0 05 Oct 2022
GAPX: Generalized Autoregressive Paraphrase-Identification X Yi Zhou Renyu Li Hayden Housen Ser-Nam Lim BDL 27 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 69 94 0 30 Sep 2022
A Novel Explainable Out-of-Distribution Detection Approach for Spiking Neural Networks Aitor Martinez Seras Javier Del Ser J. Lobo Pablo Garcia-Bringas N. Kasabov OODD 16 1 0 30 Sep 2022
Your Out-of-Distribution Detection Method is Not Robust! Mohammad Azizmalayeri Arshia Soltani Moakhar Arman Zarei Reihaneh Zohrabi M. T. Manzuri M. Rohban OODD 35 15 0 30 Sep 2022
A Comprehensive Review of Trends, Applications and Challenges In Out-of-Distribution Detection Navid Ghassemi E. F. Ersi AAML OODD 20 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 26 3 0 26 Sep 2022
Raising the Bar on the Evaluation of Out-of-Distribution Detection Jishnu Mukhoti Tsung-Yu Lin Bor-Chun Chen Ashish Shah Philip H. S. Torr P. Dokania Ser-Nam Lim OODD 13 4 0 24 Sep 2022
Extremely Simple Activation Shaping for Out-of-Distribution Detection Andrija Djurisic Nebojsa Bozanic Arjun Ashok Rosanne Liu OODD 169 150 0 20 Sep 2022
RankFeat: Rank-1 Feature Removal for Out-of-distribution Detection Yue Song N. Sebe Wei Wang OODD 58 52 0 18 Sep 2022
Towards Bridging the Performance Gaps of Joint Energy-based Models Xiulong Yang Qing Su Shihao Ji VLM 6 12 0 16 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
Fine-grain Inference on Out-of-Distribution Data with Hierarchical Classification Randolph Linderman Jingyang Zhang Nathan Inkawhich H. Li Yiran Chen OODD 143 6 0 09 Sep 2022
SAFE: Sensitivity-Aware Features for Out-of-Distribution Object Detection Samuel Wilson Tobias Fischer Feras Dayoub Dimity Miller Niko Sünderhauf OODD 23 29 0 29 Aug 2022
Open-Set Semi-Supervised Object Detection Yen-Cheng Liu Chih-Yao Ma Xiaoliang Dai Junjiao Tian Peter Vajda Zijian He Z. Kira 17 22 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 19 1 0 29 Aug 2022
Detecting the unknown in Object Detection Dario Fontanel Matteo Tarantino Fabio Cermelli Barbara Caputo ObjD 14 7 0 24 Aug 2022
Tunable Hybrid Proposal Networks for the Open World Matthew J. Inkawhich Nathan Inkawhich H. Li Yiran Chen 24 2 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 19 11 0 23 Aug 2022
Semantic Driven Energy based Out-of-Distribution Detection Abhishek Joshi Sathish Chalasani K. N. Iyer OODD 26 4 0 23 Aug 2022
Labeling Chaos to Learning Harmony: Federated Learning with Noisy Labels Vasileios Tsouvalas Aaqib Saeed T. Ozcelebi N. Meratnia FedML 17 12 0 19 Aug 2022
Out-of-distribution Detection via Frequency-regularized Generative Models Mu Cai Yixuan Li OODD 16 31 0 18 Aug 2022
Open Long-Tailed Recognition in a Dynamic World Ziwei Liu Zhongqi Miao Xiaohang Zhan Jiayun Wang Boqing Gong Stella X. Yu VLM 31 18 0 17 Aug 2022
Your ViT is Secretly a Hybrid Discriminative-Generative Diffusion Model Xiulong Yang Sheng-Min Shih Yinlin Fu Xiaoting Zhao Shihao Ji DiffM 25 56 0 16 Aug 2022
Distance-based detection of out-of-distribution silent failures for Covid-19 lung lesion segmentation Jiamin Liang Yuhao Huang Haoming Li Shuangchi He Xindi Hu Zejian Chen Isabel Kaltenborn Dong Ni OOD 23 41 0 05 Aug 2022
Interpretable Distribution Shift Detection using Optimal Transport Neha Hulkund Nicolò Fusi Jennifer Wortman Vaughan David Alvarez-Melis OT 22 2 0 04 Aug 2022
OpenCon: Open-world Contrastive Learning Yiyou Sun Yixuan Li VLM SSL DRL 44 39 0 04 Aug 2022
Making the Best of Both Worlds: A Domain-Oriented Transformer for Unsupervised Domain Adaptation Wen-hui Ma Jinming Zhang Shuang Li Chi Harold Liu Yulin Wang Wei Li 15 14 0 02 Aug 2022