DICE: Leveraging Sparsification for Out-of-Distribution Detection

18 November 2021

Papers citing "DICE: Leveraging Sparsification for Out-of-Distribution Detection"

33 / 33 papers shown

Title
H2ST: Hierarchical Two-Sample Tests for Continual Out-of-Distribution Detection Yuhang Liu Wenjie Zhao Yunhui Guo OODD 72 0 0 19 Mar 2025
CADRef: Robust Out-of-Distribution Detection via Class-Aware Decoupled Relative Feature Leveraging Zhiwei Ling Yachen Chang Hailiang Zhao Xinkui Zhao Kingsum Chow Shuiguang Deng OODD 58 0 0 01 Mar 2025
Out-of-Distribution Detection using Synthetic Data Generation Momin Abbas Muneeza Azmat R. Horesh Mikhail Yurochkin 47 1 0 05 Feb 2025
Distribution Shifts at Scale: Out-of-distribution Detection in Earth Observation Burak Ekim G. Tadesse Caleb Robinson G. Q. Hacheme Michael Schmitt Rahul Dodhia J. L. Ferres OODD 102 1 0 18 Dec 2024
Your Data Is Not Perfect: Towards Cross-Domain Out-of-Distribution Detection in Class-Imbalanced Data Xiang Fang Arvind Easwaran B. Genest Ponnuthurai Nagaratnam Suganthan 83 14 0 09 Dec 2024
Going Beyond Conventional OOD Detection Sudarshan Regmi OODD 58 1 0 16 Nov 2024
Conjugated Semantic Pool Improves OOD Detection with Pre-trained Vision-Language Models Mengyuan Chen Junyu Gao Changsheng Xu VLM OODD 30 0 0 11 Oct 2024
Combine and Conquer: A Meta-Analysis on Data Shift and Out-of-Distribution Detection Eduardo Dadalto F. Alberge Pierre Duhamel Pablo Piantanida OODD 51 0 0 23 Jun 2024
Mitigating Overconfidence in Out-of-Distribution Detection by Capturing Extreme Activations Mohammad Azizmalayeri Ameen Abu-Hanna Giovanni Cina OODD 47 1 0 21 May 2024
Out-of-Distribution Detection with a Single Unconditional Diffusion Model Alvin Heng Alexandre H. Thiery Harold Soh 51 1 0 20 May 2024
Out-of-distribution detection based on subspace projection of high-dimensional features output by the last convolutional layer Qiuyu Zhu Yiwei He OODD 26 1 0 02 May 2024
Kernel PCA for Out-of-Distribution Detection Kun Fang Qinghua Tao Kexin Lv M. He Xiaolin Huang Jie-jin Yang OODD 54 2 0 05 Feb 2024
ExCeL : Combined Extreme and Collective Logit Information for Enhancing Out-of-Distribution Detection Naveen Karunanayake Suranga Seneviratne Sanjay Chawla OODD 23 1 0 23 Nov 2023
Classifier-head Informed Feature Masking and Prototype-based Logit Smoothing for Out-of-Distribution Detection Zhuohao Sun Yiqiao Qiu Zhijun Tan Weishi Zheng Ruixuan Wang OODD 18 6 0 27 Oct 2023
Unmasking the Chameleons: A Benchmark for Out-of-Distribution Detection in Medical Tabular Data Mohammad Azizmalayeri Ameen Abu-Hanna Dirk Kraft OOD 28 5 0 28 Sep 2023
HOOD: Real-Time Human Presence and Out-of-Distribution Detection Using FMCW Radar Sabri Mustafa Kahya Muhammet Sami Yavuz Eckehard Steinbach 38 3 0 24 Jul 2023
Pseudo Outlier Exposure for Out-of-Distribution Detection using Pretrained Transformers Jaeyoung Kim Kyuheon Jung Dongbin Na Sion Jang Eunbin Park Sungchul Choi OODD 35 6 0 18 Jul 2023
Classical Out-of-Distribution Detection Methods Benchmark in Text Classification Tasks M. Baran Joanna Baran Mateusz Wójcik Maciej Ziȩba Adam Gonczarek OODD 44 4 0 13 Jul 2023
Unleashing Mask: Explore the Intrinsic Out-of-Distribution Detection Capability Jianing Zhu Hengzhuang Li Jiangchao Yao Tongliang Liu Jianliang Xu Bo Han OODD 43 12 0 06 Jun 2023
Hybrid Energy Based Model in the Feature Space for Out-of-Distribution Detection Marc Lafon Elias Ramzi Clément Rambour Nicolas Thome OODD 35 10 0 26 May 2023
LINe: Out-of-Distribution Detection by Leveraging Important Neurons Yong Hyun Ahn Gyeong-Moon Park Seong Tae Kim OODD 119 31 0 24 Mar 2023
AUTO: Adaptive Outlier Optimization for Test-Time OOD Detection Puning Yang Jian Liang Jie Cao Ran He 38 12 0 22 Mar 2023
Re-purposing Perceptual Hashing based Client Side Scanning for Physical Surveillance Ashish Hooda Andrey Labunets Tadayoshi Kohno Earlence Fernandes 16 2 0 08 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 27 7 0 30 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 45 157 0 24 Nov 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
OpenCon: Open-world Contrastive Learning Yiyou Sun Yixuan Li VLM SSL DRL 52 39 0 04 Aug 2022
Mitigating Neural Network Overconfidence with Logit Normalization Hongxin Wei Renchunzi Xie Hao-Ran Cheng Lei Feng Bo An Yixuan Li OODD 163 266 0 19 May 2022
VOS: Learning What You Don't Know by Virtual Outlier Synthesis Xuefeng Du Zhaoning Wang Mu Cai Yixuan Li OODD 178 220 0 02 Feb 2022
Generalized Out-of-Distribution Detection: A Survey Jingkang Yang Kaiyang Zhou Yixuan Li Ziwei Liu 185 879 0 21 Oct 2021
On the Importance of Gradients for Detecting Distributional Shifts in the Wild Rui Huang Andrew Geng Yixuan Li 195 328 0 01 Oct 2021
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles Balaji Lakshminarayanan Alexander Pritzel Charles Blundell UQCV BDL 276 5,661 0 05 Dec 2016
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 285 9,138 0 06 Jun 2015