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Exploring the Limits of Out-of-Distribution Detection
Neural Information Processing Systems (NeurIPS), 2021
6 June 2021
Stanislav Fort
Jie Jessie Ren
Balaji Lakshminarayanan
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Papers citing
"Exploring the Limits of Out-of-Distribution Detection"
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Three Towers: Flexible Contrastive Learning with Pretrained Image Models
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Out-of-Distribution Generalization in Text Classification: Past, Present, and Future
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Yangqiu Song
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Yongfeng Zhang
Jennifer Foster
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23 May 2023
Gaussian Latent Representations for Uncertainty Estimation using Mahalanobis Distance in Deep Classifiers
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UQCV
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23 May 2023
A Unified Evaluation Framework for Novelty Detection and Accommodation in NLP with an Instantiation in Authorship Attribution
Annual Meeting of the Association for Computational Linguistics (ACL), 2023
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Himanshu Gupta
Eric Robertson
Yinan Han
Chitta Baral
179
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08 May 2023
Out-of-distribution detection algorithms for robust insect classification
Plant Phenomics (PP), 2023
M. Saadati
Prithviraj Ammanabrolu
Shivani Chiranjeevi
Talukder Zaki Jubery
Mark O. Riedl
Soumik Sarkar
Arti Singh
Baskar Ganapathysubramanian
OODD
187
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02 May 2023
Great Models Think Alike: Improving Model Reliability via Inter-Model Latent Agreement
International Conference on Machine Learning (ICML), 2023
Ailin Deng
Miao Xiong
Bryan Hooi
373
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0
02 May 2023
Learning Sample Difficulty from Pre-trained Models for Reliable Prediction
Neural Information Processing Systems (NeurIPS), 2023
Peng Cui
Dan Zhang
Zhijie Deng
Yinpeng Dong
Junyi Zhu
242
16
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20 Apr 2023
Unified Out-Of-Distribution Detection: A Model-Specific Perspective
IEEE International Conference on Computer Vision (ICCV), 2023
Reza Averly
Wei-Lun Chao
OODD
236
16
0
13 Apr 2023
Open Set Classification of GAN-based Image Manipulations via a ViT-based Hybrid Architecture
Jun Wang
Omran Alamayreh
B. Tondi
Mauro Barni
CVBM
246
10
0
11 Apr 2023
AutoLabel: CLIP-based framework for Open-set Video Domain Adaptation
Computer Vision and Pattern Recognition (CVPR), 2023
Giacomo Zara
Subhankar Roy
Paolo Rota
Elisa Ricci
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245
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03 Apr 2023
OpenMix: Exploring Outlier Samples for Misclassification Detection
Computer Vision and Pattern Recognition (CVPR), 2023
Fei Zhu
Zhen Cheng
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Cheng-Lin Liu
UQCV
225
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30 Mar 2023
WinCLIP: Zero-/Few-Shot Anomaly Classification and Segmentation
Computer Vision and Pattern Recognition (CVPR), 2023
Jongheon Jeong
Yang Zou
Taewan Kim
Dongqing Zhang
Avinash Ravichandran
Onkar Dabeer
VLM
468
368
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26 Mar 2023
CiCo: Domain-Aware Sign Language Retrieval via Cross-Lingual Contrastive Learning
Computer Vision and Pattern Recognition (CVPR), 2023
Yiting Cheng
Fangyun Wei
Jianmin Bao
Dong Chen
Wenqian Zhang
SLR
211
42
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22 Mar 2023
Background Matters: Enhancing Out-of-distribution Detection with Domain Features
ACM Multimedia (ACM MM), 2023
Choubo Ding
Guansong Pang
Chunhua Shen
OODD
97
0
0
15 Mar 2023
Explanation Shift: How Did the Distribution Shift Impact the Model?
Carlos Mougan
Klaus Broelemann
David Masip
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Thanassis Thiropanis
Steffen Staab
FAtt
296
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14 Mar 2023
WDiscOOD: Out-of-Distribution Detection via Whitened Linear Discriminant Analysis
IEEE International Conference on Computer Vision (ICCV), 2023
Yiye Chen
Yunzhi Lin
Ruinian Xu
Patricio A. Vela
OODD
253
10
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14 Mar 2023
Adapting Contrastive Language-Image Pretrained (CLIP) Models for Out-of-Distribution Detection
Tim Kaiser
Félix D. P. Michels
Nikolas Adaloglou
M. Kollmann
VLM
242
0
0
10 Mar 2023
Predicted Embedding Power Regression for Large-Scale Out-of-Distribution Detection
Han Yang
William R. Gebhardt
Alexander Ororbia
Travis J. Desell
OODD
198
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07 Mar 2023
Non-Parametric Outlier Synthesis
International Conference on Learning Representations (ICLR), 2023
Leitian Tao
Xuefeng Du
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Shouqing Yang
OODD
242
144
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06 Mar 2023
Average of Pruning: Improving Performance and Stability of Out-of-Distribution Detection
IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2023
Zhen Cheng
Fei Zhu
Xu-Yao Zhang
Cheng-Lin Liu
MoMe
OODD
221
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02 Mar 2023
Reconstruction-based Out-of-Distribution Detection for Short-Range FMCW Radar
European Signal Processing Conference (EUSIPCO), 2023
Sabri Mustafa Kahya
Muhammet Sami Yavuz
Eckehard Steinbach
OODD
364
8
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27 Feb 2023
A framework for benchmarking class-out-of-distribution detection and its application to ImageNet
International Conference on Learning Representations (ICLR), 2023
Ido Galil
Mohammed Dabbah
Ran El-Yaniv
UQCV
275
38
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23 Feb 2023
ConMAE: Contour Guided MAE for Unsupervised Vehicle Re-Identification
Chinese Control and Decision Conference (CCDC), 2023
J. Yang
Jianwu Fang
Hong-ke Xu
215
3
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11 Feb 2023
Scaling Vision Transformers to 22 Billion Parameters
International Conference on Machine Learning (ICML), 2023
Mostafa Dehghani
Josip Djolonga
Basil Mustafa
Piotr Padlewski
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Mario Luvcić
Xiaohua Zhai
Daniel Keysers
Jeremiah Harmsen
N. Houlsby
MLLM
409
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10 Feb 2023
Robustness to Spurious Correlations Improves Semantic Out-of-Distribution Detection
AAAI Conference on Artificial Intelligence (AAAI), 2023
Lily H. Zhang
Rajesh Ranganath
OODD
199
9
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08 Feb 2023
Rethinking Out-of-distribution (OOD) Detection: Masked Image Modeling is All You Need
Computer Vision and Pattern Recognition (CVPR), 2023
Jingyao Li
Pengguang Chen
Shaozuo Yu
Zexin He
Shu Liu
Jiaya Jia
OODD
341
63
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06 Feb 2023
Learning Generalized Zero-Shot Learners for Open-Domain Image Geolocalization
Lukas Haas
Silas Alberti
Michal Skreta
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199
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01 Feb 2023
Fine-Tuning Deteriorates General Textual Out-of-Distribution Detection by Distorting Task-Agnostic Features
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Sishuo Chen
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185
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Robust One-Class Classification with Signed Distance Function using 1-Lipschitz Neural Networks
International Conference on Machine Learning (ICML), 2023
Louis Bethune
Paul Novello
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Guillaume Coiffier
M. Serrurier
Quentin Vincenot
Andres Troya-Galvis
274
11
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26 Jan 2023
Hybrid Open-set Segmentation with Synthetic Negative Data
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Matej Grcić
Sinivsa vSegvić
301
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19 Jan 2023
Learning to Exploit Temporal Structure for Biomedical Vision-Language Processing
Computer Vision and Pattern Recognition (CVPR), 2023
Shruthi Bannur
Stephanie L. Hyland
Qianchu Liu
Fernando Pérez-García
Maximilian Ilse
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Maria T. A. Wetscherek
M. Lungren
A. Nori
Javier Alvarez-Valle
Ozan Oktay
319
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11 Jan 2023
A Latent Space Correlation-Aware Autoencoder for Anomaly Detection in Skewed Data
Padmaksha Roy
189
1
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01 Jan 2023
Boosting Out-of-Distribution Detection with Multiple Pre-trained Models
Feng Xue
Zi He
Chuanlong Xie
Falong Tan
Zhenguo Li
OODD
350
7
0
24 Dec 2022
Isolation and Impartial Aggregation: A Paradigm of Incremental Learning without Interference
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Yabin Wang
Zhiheng Ma
Zhiwu Huang
Yaowei Wang
Zhou Su
Xiaopeng Hong
203
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29 Nov 2022
A Call to Reflect on Evaluation Practices for Failure Detection in Image Classification
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Paul F. Jaeger
Carsten T. Lüth
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Till J. Bungert
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335
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Deep Fake Detection, Deterrence and Response: Challenges and Opportunities
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178
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Delving into Out-of-Distribution Detection with Vision-Language Representations
Neural Information Processing Systems (NeurIPS), 2022
Yifei Ming
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Yiyou Sun
W. Li
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ViTASD: Robust Vision Transformer Baselines for Autism Spectrum Disorder Facial Diagnosis
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Is Out-of-Distribution Detection Learnable?
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386
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Explanation Shift: Detecting distribution shifts on tabular data via the explanation space
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138
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Holistic Sentence Embeddings for Better Out-of-Distribution Detection
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142
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