Towards Open Set Deep Networks

19 November 2015

Terrance Boult

Papers citing "Towards Open Set Deep Networks"

50 / 269 papers shown

Title
SCOUT: Self-aware Discriminant Counterfactual Explanations Pei Wang Nuno Vasconcelos FAtt 30 81 0 16 Apr 2020
Towards Inheritable Models for Open-Set Domain Adaptation Jogendra Nath Kundu Naveen Venkat R. Ambareesh V. RahulM. R. Venkatesh Babu VLM 17 117 0 09 Apr 2020
DeepStreamCE: A Streaming Approach to Concept Evolution Detection in Deep Neural Networks Lorraine Chambers M. Gaber Zahraa S Abdallah 21 4 0 08 Apr 2020
Hybrid Models for Open Set Recognition Hongjie Zhang Ang Li Jie Guo Yanwen Guo BDL 28 184 0 27 Mar 2020
Towards Backward-Compatible Representation Learning Yantao Shen Yuanjun Xiong W. Xia Stefano Soatto 39 79 0 26 Mar 2020
Conditional Gaussian Distribution Learning for Open Set Recognition Xin Sun Zhen Yang Chi Zhang Guohao Peng K. Ling BDL UQCV 157 217 0 19 Mar 2020
OpenGAN: Open Set Generative Adversarial Networks Luke Ditria Benjamin J. Meyer Tom Drummond VLM AI4CE GAN 43 20 0 18 Mar 2020
Hierarchical Models: Intrinsic Separability in High Dimensions Wen-Yan Lin 19 0 0 15 Mar 2020
A Post-processing Method for Detecting Unknown Intent of Dialogue System via Pre-trained Deep Neural Network Classifier Ting-En Lin Hua Xu 44 31 0 07 Mar 2020
Utilizing Network Properties to Detect Erroneous Inputs Matt Gorbett Nathaniel Blanchard AAML 23 6 0 28 Feb 2020
An Open-set Recognition and Few-Shot Learning Dataset for Audio Event Classification in Domestic Environments Javier Naranjo-Alcazar Sergi Perez-Castanos P. Zuccarello Ana M. Torres Jose J. Lopez Franscesc J. Ferri M. Cobos 29 15 0 26 Feb 2020
Generalized ODIN: Detecting Out-of-distribution Image without Learning from Out-of-distribution Data Yen-Chang Hsu Yilin Shen Hongxia Jin Z. Kira OODD 24 561 0 26 Feb 2020
Do We Really Need to Access the Source Data? Source Hypothesis Transfer for Unsupervised Domain Adaptation Jian Liang Dapeng Hu Jiashi Feng 50 1,210 0 20 Feb 2020
Towards Open-Set Semantic Segmentation of Aerial Images C. Silva Keiller Nogueira Hugo Oliveira J. A. dos Santos 9 20 0 27 Jan 2020
Personalized Activity Recognition with Deep Triplet Embeddings D. Burns C. Whyne HAI 29 25 0 15 Jan 2020
Identifying Unknown Instances for Autonomous Driving K. Wong Shenlong Wang Mengye Ren Ming Liang R. Urtasun 22 110 0 24 Oct 2019
Unknown Identity Rejection Loss: Utilizing Unlabeled Data for Face Recognition Haiming Yu Yin Fan Keyu Chen He Yan Xiangju Lu Junhui Liu Danming Xie CVBM 23 12 0 24 Oct 2019
Deep Neural Rejection against Adversarial Examples Angelo Sotgiu Ambra Demontis Marco Melis Battista Biggio Giorgio Fumera Xiaoyi Feng Fabio Roli AAML 22 68 0 01 Oct 2019
Out-of-domain Detection for Natural Language Understanding in Dialog Systems Yinhe Zheng Guanyi Chen Minlie Huang 28 121 0 09 Sep 2019
Open Set Recognition Through Deep Neural Network Uncertainty: Does Out-of-Distribution Detection Require Generative Classifiers? Martin Mundt Iuliia Pliushch Sagnik Majumder Visvanathan Ramesh UQCV EDL 16 40 0 26 Aug 2019
Unsupervised Out-of-Distribution Detection by Maximum Classifier Discrepancy Qing Yu Kiyoharu Aizawa OODD 19 164 0 14 Aug 2019
Interpretable Image Recognition with Hierarchical Prototypes Peter Hase Chaofan Chen Oscar Li Cynthia Rudin VLM 17 111 0 25 Jun 2019
Budget-Aware Adapters for Multi-Domain Learning Rodrigo Berriel Stéphane Lathuilière Moin Nabi T. Klein Thiago Oliveira-Santos N. Sebe Elisa Ricci OOD 22 41 0 15 May 2019
Multi-class Novelty Detection Using Mix-up Technique Supritam Bhattacharjee Devraj Mandal Soma Biswas 25 14 0 11 May 2019
P-ODN: Prototype based Open Deep Network for Open Set Recognition Yu Shu Yemin Shi Yaowei Wang Tiejun Huang Yonghong Tian 27 63 0 06 May 2019
Adversarial Learning in Statistical Classification: A Comprehensive Review of Defenses Against Attacks David J. Miller Zhen Xiang G. Kesidis AAML 19 35 0 12 Apr 2019
Large-Scale Long-Tailed Recognition in an Open World Ziwei Liu Zhongqi Miao Xiaohang Zhan Jiayun Wang Boqing Gong Stella X. Yu 48 1,137 0 10 Apr 2019
A Target-Agnostic Attack on Deep Models: Exploiting Security Vulnerabilities of Transfer Learning Shahbaz Rezaei Xin Liu SILM AAML 33 46 0 08 Apr 2019
Learning to Transfer Examples for Partial Domain Adaptation Zhangjie Cao Kaichao You Mingsheng Long Jianmin Wang Qiang Yang 27 271 0 28 Mar 2019
Open-Set Recognition Using Intra-Class Splitting Patrick Schlachter Yiwen Liao Bin Yang BDL MQ VLM 25 32 0 12 Mar 2019
Deep CNN-based Multi-task Learning for Open-Set Recognition Poojan Oza Vishal M. Patel 24 35 0 07 Mar 2019
The Importance of Metric Learning for Robotic Vision: Open Set Recognition and Active Learning Benjamin J. Meyer Tom Drummond 14 33 0 27 Feb 2019
ODN: Opening the Deep Network for Open-set Action Recognition Yu Shu Yemin Shi Yaowei Wang Yixiong Zou Qingsheng Yuan Yonghong Tian 13 47 0 23 Jan 2019
Can You Trust This Prediction? Auditing Pointwise Reliability After Learning Peter F. Schulam Suchi Saria OOD 27 103 0 02 Jan 2019
Why ReLU networks yield high-confidence predictions far away from the training data and how to mitigate the problem Matthias Hein Maksym Andriushchenko Julian Bitterwolf OODD 55 554 0 13 Dec 2018
Deep Anomaly Detection with Outlier Exposure Dan Hendrycks Mantas Mazeika Thomas G. Dietterich OODD 31 1,457 0 11 Dec 2018
Model-Reuse Attacks on Deep Learning Systems Yujie Ji Xinyang Zhang S. Ji Xiapu Luo Ting Wang SILM AAML 136 186 0 02 Dec 2018
Recent Advances in Open Set Recognition: A Survey Chuanxing Geng Sheng-Jun Huang Songcan Chen BDL ObjD 59 759 0 21 Nov 2018
Understanding Deep Neural Networks through Input Uncertainties Jayaraman J. Thiagarajan Irene Kim Rushil Anirudh P. Bremer UQCV AAML 13 14 0 31 Oct 2018
Towards Principled Uncertainty Estimation for Deep Neural Networks Richard E. Harang Ethan M. Rudd BDL UQCV 22 6 0 29 Oct 2018
Open-world Learning and Application to Product Classification Hu Xu Bing-Quan Liu Lei Shu P. Yu CLL VLM 35 110 0 17 Sep 2018
Out-of-Distribution Detection Using an Ensemble of Self Supervised Leave-out Classifiers Apoorv Vyas Nataraj Jammalamadaka Xia Zhu Dipankar Das Bharat Kaul Theodore L. Willke OODD 27 247 0 04 Sep 2018
Controlling Over-generalization and its Effect on Adversarial Examples Generation and Detection Mahdieh Abbasi Arezoo Rajabi A. Mozafari R. Bobba Christian Gagné AAML 24 9 0 21 Aug 2018
Metric Learning for Novelty and Anomaly Detection Marc Masana Idoia Ruiz J. Serrat Joost van de Weijer Antonio M. López OODD 30 80 0 16 Aug 2018
A Survey of Knowledge Representation in Service Robotics D. Paulius Yu Sun 25 94 0 05 Jul 2018
Learning Single-Image Depth from Videos using Quality Assessment Networks Weifeng Chen Shengyi Qian Jia Deng 30 67 0 25 Jun 2018
Lightweight Probabilistic Deep Networks Jochen Gast Stefan Roth UQCV OOD BDL 33 180 0 29 May 2018
Adding New Tasks to a Single Network with Weight Transformations using Binary Masks Massimiliano Mancini Elisa Ricci Barbara Caputo Samuel Rota Buló 25 51 0 28 May 2018
Classification Uncertainty of Deep Neural Networks Based on Gradient Information Philipp Oberdiek Matthias Rottmann Hanno Gottschalk UQCV 17 64 0 22 May 2018
Open Set Domain Adaptation by Backpropagation Kuniaki Saito Shohei Yamamoto Yoshitaka Ushiku Tatsuya Harada VLM 22 499 0 27 Apr 2018