Enhancing The Reliability of Out-of-distribution Image Detection in Neural Networks

8 June 2017

Papers citing "Enhancing The Reliability of Out-of-distribution Image Detection in Neural Networks"

50 / 484 papers shown

Title
Distinction Maximization Loss: Efficiently Improving Out-of-Distribution Detection and Uncertainty Estimation by Replacing the Loss and Calibrating David Macêdo Cleber Zanchettin Teresa B Ludermir UQCV 36 4 0 12 May 2022
Norm-Scaling for Out-of-Distribution Detection Deepak Ravikumar Kaushik Roy OODD UQCV 24 2 0 06 May 2022
A Simple Approach to Improve Single-Model Deep Uncertainty via Distance-Awareness J. Liu Shreyas Padhy Jie Jessie Ren Zi Lin Yeming Wen Ghassen Jerfel Zachary Nado Jasper Snoek Dustin Tran Balaji Lakshminarayanan UQCV BDL 33 48 0 01 May 2022
Learning to Classify Open Intent via Soft Labeling and Manifold Mixup Zifeng Cheng Zhiwei Jiang Yafeng Yin Cong Wang Qing Gu VLM 24 13 0 16 Apr 2022
Out-of-Distribution Detection with Deep Nearest Neighbors Yiyou Sun Yifei Ming Xiaojin Zhu Yixuan Li OODD 19 494 0 13 Apr 2022
Training a Helpful and Harmless Assistant with Reinforcement Learning from Human Feedback Yuntao Bai Andy Jones Kamal Ndousse Amanda Askell Anna Chen ... Jack Clark Sam McCandlish C. Olah Benjamin Mann Jared Kaplan 115 2,369 0 12 Apr 2022
Full-Spectrum Out-of-Distribution Detection Jingkang Yang Kaiyang Zhou Ziwei Liu OODD 45 57 0 11 Apr 2022
Effective Out-of-Distribution Detection in Classifier Based on PEDCC-Loss Qiuyu Zhu Guohui Zheng Yingying Yan OODD 22 8 0 10 Apr 2022
Understanding, Detecting, and Separating Out-of-Distribution Samples and Adversarial Samples in Text Classification Cheng-Han Chiang Hung-yi Lee OODD 28 1 0 09 Apr 2022
RODD: A Self-Supervised Approach for Robust Out-of-Distribution Detection Umar Khalid Ashkan Esmaeili Nazmul Karim Nazanin Rahnavard OODD 47 12 0 06 Apr 2022
Towards Textual Out-of-Domain Detection without In-Domain Labels Di Jin Shuyang Gao Seokhwan Kim Yang Liu Dilek Z. Hakkani-Tür 18 20 0 22 Mar 2022
ViM: Out-Of-Distribution with Virtual-logit Matching Haoqi Wang Zhizhong Li Xue Jiang Wayne Zhang OODD 26 317 0 21 Mar 2022
How to Exploit Hyperspherical Embeddings for Out-of-Distribution Detection? Yifei Ming Yiyou Sun Ousmane Amadou Dia Yixuan Li OODD 26 96 0 08 Mar 2022
Unknown-Aware Object Detection: Learning What You Don't Know from Videos in the Wild Xuefeng Du Xin Eric Wang Gabriel Gozum Yixuan Li OODD 45 91 0 08 Mar 2022
AutoMO-Mixer: An automated multi-objective Mixer model for balanced, safe and robust prediction in medicine Xinyu Chen Jiahuan Lv Dehua Feng X. Mou L. Bai Shu Zhang Zhiguo Zhou 27 1 0 04 Mar 2022
Addressing Randomness in Evaluation Protocols for Out-of-Distribution Detection Konstantin Kirchheim Tim Gonschorek F. Ortmeier OODD 36 2 0 01 Mar 2022
Layer Adaptive Deep Neural Networks for Out-of-distribution Detection Haoliang Wang Chengli Zhao Xujiang Zhao Feng Chen OODD 29 7 0 01 Mar 2022
Deconstructing Distributions: A Pointwise Framework of Learning Gal Kaplun Nikhil Ghosh Saurabh Garg Boaz Barak Preetum Nakkiran OOD 38 21 0 20 Feb 2022
Open-set Adversarial Defense with Clean-Adversarial Mutual Learning Rui Shao Pramuditha Perera Pong C. Yuen Vishal M. Patel AAML 28 32 0 12 Feb 2022
Training OOD Detectors in their Natural Habitats Julian Katz-Samuels Julia B. Nakhleh Robert D. Nowak Yixuan Li OODD 27 90 0 07 Feb 2022
Evaluation of Runtime Monitoring for UAV Emergency Landing Joris Guérin Kevin Delmas Jérémie Guiochet 41 13 0 07 Feb 2022
A Note on "Assessing Generalization of SGD via Disagreement" Andreas Kirsch Y. Gal FedML UQCV 26 15 0 03 Feb 2022
The Met Dataset: Instance-level Recognition for Artworks Nikolaos-Antonios Ypsilantis Noa Garcia G. Han Sarah Ibrahimi Nanne van Noord Giorgos Tolias 36 43 0 03 Feb 2022
Geometric instability of out of distribution data across autoencoder architecture S. Agarwala Ben Dees Corey Lowman DRL 35 0 0 28 Jan 2022
Ranking Info Noise Contrastive Estimation: Boosting Contrastive Learning via Ranked Positives David T. Hoffmann Nadine Behrmann Juergen Gall Thomas Brox M. Noroozi 41 43 0 27 Jan 2022
E-ADDA: Unsupervised Adversarial Domain Adaptation Enhanced by a New Mahalanobis Distance Loss for Smart Computing Ye Gao Brian R. Baucom Karen Rose Kristin D. Gordon Hongning Wang John A. Stankovic AAML 26 1 0 24 Jan 2022
Out of Distribution Detection on ImageNet-O Anugya Srivastava S. Jain Mugdha Thigle OOD 62 5 0 23 Jan 2022
Out-of-distribution Detection with Boundary Aware Learning Sen Pei Xin Zhang Bin Fan Gaofeng Meng OODD 21 8 0 22 Dec 2021
UMAD: Universal Model Adaptation under Domain and Category Shift Jian Liang Dapeng Hu Jiashi Feng Ran He 36 30 0 16 Dec 2021
WOOD: Wasserstein-based Out-of-Distribution Detection Yinan Wang Wenbo Sun Jionghua Jin Zhen Kong Xiaowei Yue OODD 20 8 0 13 Dec 2021
PixMix: Dreamlike Pictures Comprehensively Improve Safety Measures Dan Hendrycks Andy Zou Mantas Mazeika Leonard Tang Yue Liu D. Song Jacob Steinhardt UQCV 25 137 0 09 Dec 2021
Transformaly -- Two (Feature Spaces) Are Better Than One M. Cohen S. Avidan ViT 13 27 0 08 Dec 2021
Probabilistic Approach for Road-Users Detection Gledson Melotti Weihao Lu Pedro Conde Dezong Zhao A. Asvadi Nuno Gonçalves C. Premebida 27 2 0 02 Dec 2021
Provable Guarantees for Understanding Out-of-distribution Detection Peyman Morteza Yixuan Li OODD 41 86 0 01 Dec 2021
A Unified Benchmark for the Unknown Detection Capability of Deep Neural Networks Jihyo Kim Jiin Koo Sangheum Hwang UQCV 16 19 0 01 Dec 2021
Pyramid Adversarial Training Improves ViT Performance Charles Herrmann Kyle Sargent Lu Jiang Ramin Zabih Huiwen Chang Ce Liu Dilip Krishnan Deqing Sun ViT 39 56 0 30 Nov 2021
Data Invariants to Understand Unsupervised Out-of-Distribution Detection Lars Doorenbos Raphael Sznitman Pablo Márquez-Neila OODD 32 6 0 26 Nov 2021
ReAct: Out-of-distribution Detection With Rectified Activations Yiyou Sun Chuan Guo Yixuan Li OODD 43 459 0 24 Nov 2021
Efficient Anomaly Detection Using Self-Supervised Multi-Cue Tasks Loic Jezequel Ngoc-Son Vu Jean Beaudet A. Histace 34 19 0 24 Nov 2021
DICE: Leveraging Sparsification for Out-of-Distribution Detection Yiyou Sun Yixuan Li OODD 38 152 0 18 Nov 2021
Synthetic Unknown Class Learning for Learning Unknowns Jaeyeon Jang 38 2 0 15 Nov 2021
Statistical Perspectives on Reliability of Artificial Intelligence Systems Yili Hong J. Lian Li Xu Jie Min Yueyao Wang Laura J. Freeman Xinwei Deng 38 30 0 09 Nov 2021
Grassmannian learning mutual subspace method for image set recognition L. S. Souza Naoya Sogi B. Gatto Takumi Kobayashi Kazuhiro Fukui 27 11 0 08 Nov 2021
Elucidating Robust Learning with Uncertainty-Aware Corruption Pattern Estimation Jeongeun Park Seungyoung Shin Sangheum Hwang Sungjoon Choi 32 5 0 02 Nov 2021
GalilAI: Out-of-Task Distribution Detection using Causal Active Experimentation for Safe Transfer RL Sumedh Anand Sontakke Stephen Iota Zizhao Hu Arash Mehrjou Laurent Itti Bernhard Schölkopf OODD 22 2 0 29 Oct 2021
Class-wise Thresholding for Robust Out-of-Distribution Detection Matteo Guarrera Baihong Jin Tung-Wei Lin Maria A. Zuluaga Yuxin Chen Alberto L. Sangiovanni-Vincentelli OODD OOD 27 3 0 28 Oct 2021
Exploring Covariate and Concept Shift for Detection and Calibration of Out-of-Distribution Data Junjiao Tian Yen-Change Hsu Yilin Shen Hongxia Jin Z. Kira OODD 19 6 0 28 Oct 2021
Reliable and Trustworthy Machine Learning for Health Using Dataset Shift Detection Chunjong Park Anas Awadalla Tadayoshi Kohno Shwetak N. Patel OOD 30 29 0 26 Oct 2021
Graph Posterior Network: Bayesian Predictive Uncertainty for Node Classification Maximilian Stadler Bertrand Charpentier Simon Geisler Daniel Zügner Stephan Günnemann UQCV BDL 46 81 0 26 Oct 2021
Generalized Out-of-Distribution Detection: A Survey Jingkang Yang Kaiyang Zhou Yixuan Li Ziwei Liu 193 881 0 21 Oct 2021