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Training OOD Detectors in their Natural Habitats

7 February 2022

Papers citing "Training OOD Detectors in their Natural Habitats"

26 / 26 papers shown

Title
Out-of-Distribution Detection using Synthetic Data Generation Momin Abbas Muneeza Azmat R. Horesh Mikhail Yurochkin 169 1 0 05 Feb 2025
Deep Active Learning in the Open World Tian Xie Jifan Zhang Haoyue Bai R. Nowak VLM 405 3 0 10 Nov 2024
Reflexive Guidance: Improving OoDD in Vision-Language Models via Self-Guided Image-Adaptive Concept Generation Seulbi Lee J. Kim Sangheum Hwang LRM 438 1 0 19 Oct 2024
Process Reward Model with Q-Value Rankings W. Li Yixuan Li LRM 131 25 0 15 Oct 2024
Out-of-Distribution Detection & Applications With Ablated Learned Temperature Energy Will LeVine Benjamin Pikus Jacob Phillips Berk Norman Fernando Amat Gil Sean Hendryx OODD 141 1 0 22 Jan 2024
POEM: Out-of-Distribution Detection with Posterior Sampling Yifei Ming Ying Fan Yixuan Li OODD 86 117 0 28 Jun 2022
Out-of-Distribution Detection with Deep Nearest Neighbors Yiyou Sun Yifei Ming Xiaojin Zhu Yixuan Li OODD 200 529 0 13 Apr 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 106 92 0 08 Mar 2022
Provable Guarantees for Understanding Out-of-distribution Detection Peyman Morteza Yixuan Li OODD 102 94 0 01 Dec 2021
Can multi-label classification networks know what they don't know? Haoran Wang Weitang Liu Alex E. Bocchieri Yixuan Li OODD 141 127 0 29 Sep 2021
Constrained Optimization to Train Neural Networks on Critical and Under-Represented Classes Sara Sangalli Ertunc Erdil A. Hoetker O. Donati E. Konukoglu AI4CE 51 28 0 21 Feb 2021
Energy-based Out-of-distribution Detection Weitang Liu Xiaoyun Wang John Douglas Owens Yixuan Li OODD 271 1,371 0 08 Oct 2020
A Unifying Review of Deep and Shallow Anomaly Detection Lukas Ruff Jacob R. Kauffmann Robert A. Vandermeulen G. Montavon Wojciech Samek Marius Kloft Thomas G. Dietterich Klaus-Robert Muller UQCV 117 804 0 24 Sep 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 105 577 0 26 Feb 2020
Deep Variational Semi-Supervised Novelty Detection Tal Daniel Thanard Kurutach Aviv Tamar DRL UQCV 72 21 0 12 Nov 2019
Deep Semi-Supervised Anomaly Detection Lukas Ruff Robert A. Vandermeulen Nico Görnitz Alexander Binder Emmanuel Müller K. Müller Marius Kloft UQCV 58 547 0 06 Jun 2019
Deep Learning for Anomaly Detection: A Survey Raghavendra Chalapathy Sanjay Chawla AI4TS 154 1,495 0 10 Jan 2019
Deep Anomaly Detection with Outlier Exposure Dan Hendrycks Mantas Mazeika Thomas G. Dietterich OODD 183 1,487 0 11 Dec 2018
A Simple Unified Framework for Detecting Out-of-Distribution Samples and Adversarial Attacks Kimin Lee Kibok Lee Honglak Lee Jinwoo Shin OODD 192 2,062 0 10 Jul 2018
Predictive Uncertainty Estimation via Prior Networks A. Malinin Mark Gales UD BDL EDL UQCV PER 193 923 0 28 Feb 2018
Learning Deep Features for One-Class Classification Pramuditha Perera Vishal M. Patel 116 371 0 16 Jan 2018
Training Confidence-calibrated Classifiers for Detecting Out-of-Distribution Samples Kimin Lee Honglak Lee Kibok Lee Jinwoo Shin OODD 120 882 0 26 Nov 2017
A Baseline for Detecting Misclassified and Out-of-Distribution Examples in Neural Networks Dan Hendrycks Kevin Gimpel UQCV 168 3,472 0 07 Oct 2016
Wide Residual Networks Sergey Zagoruyko N. Komodakis 351 8,000 0 23 May 2016
Deep Neural Networks are Easily Fooled: High Confidence Predictions for Unrecognizable Images Anh Totti Nguyen J. Yosinski Jeff Clune AAML 171 3,274 0 05 Dec 2014
Describing Textures in the Wild Mircea Cimpoi Subhransu Maji Iasonas Kokkinos S. Mohamed Andrea Vedaldi 3DV 144 2,689 0 14 Nov 2013