v1v2v3 (latest)

Training Confidence-calibrated Classifiers for Detecting Out-of-Distribution Samples

26 November 2017

Papers citing "Training Confidence-calibrated Classifiers for Detecting Out-of-Distribution Samples"

44 / 44 papers shown

Title
Mahalanobis++: Improving OOD Detection via Feature Normalization Maximilian Mueller Matthias Hein OODD 117 0 0 23 May 2025
Out-of-Distribution Segmentation in Autonomous Driving: Problems and State of the Art Youssef Shoeb Azarm Nowzad Hanno Gottschalk UQCV 240 2 0 04 Mar 2025
GOLD: Graph Out-of-Distribution Detection via Implicit Adversarial Latent Generation Danny Wang Ruihong Qiu Guangdong Bai Zi Huang 379 3 0 09 Feb 2025
Out-of-Distribution Detection using Synthetic Data Generation Momin Abbas Muneeza Azmat R. Horesh Mikhail Yurochkin 169 1 0 05 Feb 2025
Self-Supervised Likelihood Estimation with Energy Guidance for Anomaly Segmentation in Urban Scenes Yuanpeng Tu Yuxi Li Boshen Zhang Liang Liu Jing Zhang Yun Wang C. Zhao 239 4 0 03 Jan 2025
Pretraining with random noise for uncertainty calibration Jeonghwan Cheon Se-Bum Paik OnRL 161 1 0 23 Dec 2024
Reflexive Guidance: Improving OoDD in Vision-Language Models via Self-Guided Image-Adaptive Concept Generation Seulbi Lee J. Kim Sangheum Hwang LRM 443 1 0 19 Oct 2024
Artificial Kuramoto Oscillatory Neurons Takeru Miyato Sindy Löwe Andreas Geiger Max Welling AI4CE 180 10 0 17 Oct 2024
Building Real-time Awareness of Out-of-distribution in Trajectory Prediction for Autonomous Vehicles Tongfei Guo Rui Liu Lili Su 99 1 0 25 Sep 2024
Uncertainty-Guided Appearance-Motion Association Network for Out-of-Distribution Action Detection Xiang Fang Arvind Easwaran B. Genest 75 4 0 16 Sep 2024
Proto-OOD: Enhancing OOD Object Detection with Prototype Feature Similarity Junkun Chen Jilin Mei Liang Chen Fangzhou Zhao Yu Hu Yu Hu ObjD 106 0 0 09 Sep 2024
Diffusion based Semantic Outlier Generation via Nuisance Awareness for Out-of-Distribution Detection Suhee Yoon Sanghyu Yoon Ye Seul Sim Sungik Choi Kyungeun Lee Hye-Seung Cho Hankook Lee Woohyung Lim 69 0 0 27 Aug 2024
Out-of-distribution detection using normalizing flows on the data manifold S. Razavi M. Mehmanchi Reshad Hosseini Mostafa Tavassolipour OODD 99 0 0 26 Aug 2023
Simple and Principled Uncertainty Estimation with Deterministic Deep Learning via Distance Awareness Jeremiah Zhe Liu Zi Lin Shreyas Padhy Dustin Tran Tania Bedrax-Weiss Balaji Lakshminarayanan UQCV BDL 222 451 0 17 Jun 2020
Anomalous Example Detection in Deep Learning: A Survey Saikiran Bulusu B. Kailkhura Yue Liu P. Varshney Basel Alomair AAML 139 47 0 16 Mar 2020
Unbiased Mean Teacher for Cross-domain Object Detection Jinhong Deng Wen Li Yuhua Chen Lixin Duan 205 297 0 02 Mar 2020
Attribute Restoration Framework for Anomaly Detection Chaoqin Huang Fei Ye Jinkun Cao Maosen Li Ya Zhang Cewu Lu 95 50 0 25 Nov 2019
On Calibration of Modern Neural Networks Chuan Guo Geoff Pleiss Yu Sun Kilian Q. Weinberger UQCV 299 5,862 0 14 Jun 2017
Confident Multiple Choice Learning Kimin Lee Changho Hwang KyoungSoo Park Jinwoo Shin 62 49 0 12 Jun 2017
Enhancing The Reliability of Out-of-distribution Image Detection in Neural Networks Shiyu Liang Yixuan Li R. Srikant UQCV OODD 171 2,081 0 08 Jun 2017
Good Semi-supervised Learning that Requires a Bad GAN Zihang Dai Zhilin Yang Fan Yang William W. Cohen Ruslan Salakhutdinov GAN 75 484 0 27 May 2017
Learning to Generate Long-term Future via Hierarchical Prediction Ruben Villegas Jimei Yang Yuliang Zou Sungryull Sohn Xunyu Lin Honglak Lee 77 380 0 19 Apr 2017
Dropout Inference in Bayesian Neural Networks with Alpha-divergences Yingzhen Li Y. Gal UQCV BDL 133 197 0 08 Mar 2017
Multiplicative Normalizing Flows for Variational Bayesian Neural Networks Christos Louizos Max Welling BDL 157 461 0 06 Mar 2017
Generalization and Equilibrium in Generative Adversarial Nets (GANs) Sanjeev Arora Rong Ge Yingyu Liang Tengyu Ma Yi Zhang GAN 54 690 0 02 Mar 2017
Unlabeled Samples Generated by GAN Improve the Person Re-identification Baseline in vitro Zhedong Zheng Liang Zheng Yi Yang GAN 81 1,888 0 26 Jan 2017
Regularizing Neural Networks by Penalizing Confident Output Distributions Gabriel Pereyra George Tucker J. Chorowski Lukasz Kaiser Geoffrey E. Hinton NoLa 165 1,141 0 23 Jan 2017
PixelCNN++: Improving the PixelCNN with Discretized Logistic Mixture Likelihood and Other Modifications Tim Salimans A. Karpathy Xi Chen Diederik P. Kingma 113 944 0 19 Jan 2017
Learning from Simulated and Unsupervised Images through Adversarial Training A. Shrivastava Tomas Pfister Oncel Tuzel J. Susskind Wenda Wang Russ Webb GAN 105 1,801 0 22 Dec 2016
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles Balaji Lakshminarayanan Alexander Pritzel Charles Blundell UQCV BDL 842 5,841 0 05 Dec 2016
A Baseline for Detecting Misclassified and Out-of-Distribution Examples in Neural Networks Dan Hendrycks Kevin Gimpel UQCV 171 3,472 0 07 Oct 2016
Energy-based Generative Adversarial Network Jiaqi Zhao Michaël Mathieu Yann LeCun GAN 141 1,114 0 11 Sep 2016
Concrete Problems in AI Safety Dario Amodei C. Olah Jacob Steinhardt Paul Christiano John Schulman Dandelion Mané 244 2,404 0 21 Jun 2016
Improved Techniques for Training GANs Tim Salimans Ian Goodfellow Wojciech Zaremba Vicki Cheung Alec Radford Xi Chen GAN 486 9,067 0 10 Jun 2016
Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks Alec Radford Luke Metz Soumith Chintala GAN OOD 271 14,023 0 19 Nov 2015
LSUN: Construction of a Large-scale Image Dataset using Deep Learning with Humans in the Loop Feng Yu Ari Seff Yinda Zhang Shuran Song Thomas Funkhouser Jianxiong Xiao 107 2,346 0 10 Jun 2015
Fast R-CNN Ross B. Girshick ObjD 309 25,081 0 30 Apr 2015
Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift Sergey Ioffe Christian Szegedy OOD 465 43,341 0 11 Feb 2015
Adam: A Method for Stochastic Optimization Diederik P. Kingma Jimmy Ba ODL 2.0K 150,312 0 22 Dec 2014
Striving for Simplicity: The All Convolutional Net Jost Tobias Springenberg Alexey Dosovitskiy Thomas Brox Martin Riedmiller FAtt 251 4,681 0 21 Dec 2014
Deep Speech: Scaling up end-to-end speech recognition Awni Y. Hannun Carl Case Jared Casper Bryan Catanzaro G. Diamos ... R. Prenger S. Satheesh Shubho Sengupta Adam Coates A. Ng 188 2,128 0 17 Dec 2014
Going Deeper with Convolutions Christian Szegedy Wei Liu Yangqing Jia P. Sermanet Scott E. Reed Dragomir Anguelov D. Erhan Vincent Vanhoucke Andrew Rabinovich 488 43,694 0 17 Sep 2014
One weird trick for parallelizing convolutional neural networks A. Krizhevsky GNN 93 1,303 0 23 Apr 2014
Improving neural networks by preventing co-adaptation of feature detectors Geoffrey E. Hinton Nitish Srivastava A. Krizhevsky Ilya Sutskever Ruslan Salakhutdinov VLM 463 7,667 0 03 Jul 2012