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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"
50 / 248 papers shown
HyperMix: Out-of-Distribution Detection and Classification in Few-Shot Settings
Nikhil Mehta
Kevin J. Liang
Jing Huang
Fu-Jen Chu
Li Yin
Tal Hassner
OODD
209
3
0
22 Dec 2023
Fast Decision Boundary based Out-of-Distribution Detector
International Conference on Machine Learning (ICML), 2023
Litian Liu
Yao Qin
OODD
370
35
0
15 Dec 2023
EAT: Towards Long-Tailed Out-of-Distribution Detection
AAAI Conference on Artificial Intelligence (AAAI), 2023
Tong Wei
Bo-Lin Wang
Min-Ling Zhang
OODD
256
18
0
14 Dec 2023
Scaling Laws for Adversarial Attacks on Language Model Activations
Stanislav Fort
143
21
0
05 Dec 2023
ID-like Prompt Learning for Few-Shot Out-of-Distribution Detection
Computer Vision and Pattern Recognition (CVPR), 2023
Yichen Bai
Zongbo Han
Changqing Zhang
Bing Cao
Xiaoheng Jiang
Qinghua Hu
OODD
406
40
0
26 Nov 2023
RankFeat&RankWeight: Rank-1 Feature/Weight Removal for Out-of-distribution Detection
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2023
Yue Song
Andrii Zadaianchuk
Wei Wang
OODD
318
3
0
23 Nov 2023
Unified Classification and Rejection: A One-versus-All Framework
Machine Intelligence Research (MIR), 2023
Zhen Cheng
Xu-Yao Zhang
Cheng-Lin Liu
298
13
0
22 Nov 2023
Topology-Matching Normalizing Flows for Out-of-Distribution Detection in Robot Learning
Conference on Robot Learning (CoRL), 2023
Jianxiang Feng
Jongseok Lee
Simon Geisler
Stephan Gunnemann
Rudolph Triebel
OODD
248
7
0
11 Nov 2023
Understanding the Natural Language of DNA using Encoder-Decoder Foundation Models with Byte-level Precision
Bioinformatics Advances (BA), 2023
Aditya Malusare
Harish Kothandaraman
Dipesh Tamboli
N. Lanman
Vaneet Aggarwal
AI4CE
256
0
0
04 Nov 2023
Dual Conditioned Diffusion Models for Out-Of-Distribution Detection: Application to Fetal Ultrasound Videos
International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2023
Divyanshu Mishra
He Zhao
Pramit Saha
A. Papageorghiou
J. A. Noble
MedIm
217
16
0
01 Nov 2023
Energy-Based Models for Anomaly Detection: A Manifold Diffusion Recovery Approach
Neural Information Processing Systems (NeurIPS), 2023
Sangwoong Yoon
Young-Uk Jin
Yung-Kyun Noh
Frank C. Park
282
19
0
28 Oct 2023
On the Powerfulness of Textual Outlier Exposure for Visual OoD Detection
Neural Information Processing Systems (NeurIPS), 2023
Sangha Park
J. Mok
Dahuin Jung
Saehyung Lee
Sung-Hoon Yoon
284
14
0
25 Oct 2023
Winning Prize Comes from Losing Tickets: Improve Invariant Learning by Exploring Variant Parameters for Out-of-Distribution Generalization
International Journal of Computer Vision (IJCV), 2023
Zhuo Huang
Muyang Li
Li Shen
Jun-chen Yu
Chen Gong
Bo Han
Tongliang Liu
OOD
291
17
0
25 Oct 2023
Diversified Outlier Exposure for Out-of-Distribution Detection via Informative Extrapolation
Neural Information Processing Systems (NeurIPS), 2023
Jianing Zhu
Geng Yu
Jiangchao Yao
Tongliang Liu
Gang Niu
Masashi Sugiyama
Bo Han
OODD
277
40
0
21 Oct 2023
Foundation Model's Embedded Representations May Detect Distribution Shift
Max Vargas
Adam Tsou
A. Engel
Tony Chiang
221
1
0
20 Oct 2023
Exploring Large Language Models for Multi-Modal Out-of-Distribution Detection
Conference on Empirical Methods in Natural Language Processing (EMNLP), 2023
Yi Dai
Hao Lang
Kaisheng Zeng
Fei Huang
Yongbin Li
OODD
235
17
0
12 Oct 2023
NECO: NEural Collapse Based Out-of-distribution detection
International Conference on Learning Representations (ICLR), 2023
Mouin Ben Ammar
Nacim Belkhir
Sebastian Popescu
Antoine Manzanera
Gianni Franchi
OODD
345
30
0
10 Oct 2023
ImageNet-OOD: Deciphering Modern Out-of-Distribution Detection Algorithms
International Conference on Learning Representations (ICLR), 2023
William Yang
Byron Zhang
Olga Russakovsky
OODD
316
20
0
03 Oct 2023
Can Pre-trained Networks Detect Familiar Out-of-Distribution Data?
Atsuyuki Miyai
Qing Yu
Go Irie
Kiyoharu Aizawa
OODD
418
8
0
02 Oct 2023
Don't Miss Out on Novelty: Importance of Novel Features for Deep Anomaly Detection
S. Sivaprasad
Mario Fritz
AAML
413
0
0
01 Oct 2023
Unmasking the Chameleons: A Benchmark for Out-of-Distribution Detection in Medical Tabular Data
Mohammad Azizmalayeri
Ameen Abu-Hanna
Dirk Kraft
OOD
302
9
0
28 Sep 2023
Nearest Neighbor Guidance for Out-of-Distribution Detection
IEEE International Conference on Computer Vision (ICCV), 2023
Jaewoo Park
Yoon Gyo Jung
Andrew Beng Jin Teoh
OODD
272
60
0
26 Sep 2023
Dream the Impossible: Outlier Imagination with Diffusion Models
Neural Information Processing Systems (NeurIPS), 2023
Xuefeng Du
Yiyou Sun
Xiaojin Zhu
Shouqing Yang
332
87
0
23 Sep 2023
Improving CLIP Robustness with Knowledge Distillation and Self-Training
Clement Laroudie
Andrei Bursuc
Mai Lan Ha
Gianni Franchi
VLM
219
6
0
19 Sep 2023
NeuroCodeBench: a plain C neural network benchmark for software verification
Edoardo Manino
R. Menezes
F. Shmarov
Lucas C. Cordeiro
190
4
0
07 Sep 2023
On the use of Mahalanobis distance for out-of-distribution detection with neural networks for medical imaging
Harry Anthony
Konstantinos Kamnitsas
207
16
0
04 Sep 2023
CA2: Class-Agnostic Adaptive Feature Adaptation for One-class Classification
Zilong Zhang
Zhibin Zhao
Deyu Meng
Xingwu Zhang
Xuefeng Chen
VLM
194
2
0
04 Sep 2023
CLIPN for Zero-Shot OOD Detection: Teaching CLIP to Say No
IEEE International Conference on Computer Vision (ICCV), 2023
Hualiang Wang
Yi Li
Huifeng Yao
Xuelong Li
VLM
OODD
365
155
0
23 Aug 2023
SupEuclid: Extremely Simple, High Quality OoD Detection with Supervised Contrastive Learning and Euclidean Distance
J. Haas
OODD
128
0
0
21 Aug 2023
From Global to Local: Multi-scale Out-of-distribution Detection
IEEE Transactions on Image Processing (IEEE TIP), 2023
Ji Zhang
Lianli Gao
Bingguang Hao
Hao Huang
Jingkuan Song
Mengqi Li
OODD
152
23
0
20 Aug 2023
Unilaterally Aggregated Contrastive Learning with Hierarchical Augmentation for Anomaly Detection
IEEE International Conference on Computer Vision (ICCV), 2023
Guodong Wang
Yun Wang
Jie Qin
Dongming Zhang
Xiuguo Bao
Di Huang
176
9
0
20 Aug 2023
Dimensionality Reduction for Improving Out-of-Distribution Detection in Medical Image Segmentation
M. Woodland
Nihil Patel
Mais Al Taie
J. Yung
Tucker Netherton
Ankit B. Patel
Kristy K. Brock
OOD
185
8
0
07 Aug 2023
DIVERSIFY: A General Framework for Time Series Out-of-distribution Detection and Generalization
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2023
Wang Lu
Yongfeng Zhang
Xinwei Sun
Yiqiang Chen
Xiangyang Ji
Qiang Yang
Xingxu Xie
OODD
AI4TS
328
29
0
04 Aug 2023
Three Factors to Improve Out-of-Distribution Detection
Hyunjun Choi
Jaeho Chung
Hawook Jeong
J. Choi
OODD
223
2
0
02 Aug 2023
Understanding Silent Failures in Medical Image Classification
International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2023
Till J. Bungert
L. Kobelke
Paul F. Jaeger
UQCV
206
6
0
27 Jul 2023
General-Purpose Multi-Modal OOD Detection Framework
Viet Duong
Qiong Wu
Zhengyi Zhou
Eric Zavesky
Jiahe Chen
Xiangzhou Liu
Wen-Ling Hsu
Huajie Shao
OODD
217
2
0
24 Jul 2023
HOOD: Real-Time Human Presence and Out-of-Distribution Detection Using FMCW Radar
Sabri Mustafa Kahya
Muhammet Sami Yavuz
Eckehard Steinbach
455
7
0
24 Jul 2023
Image Outlier Detection Without Training using RANSAC
Chen-Han Tsai
Yu-Shao Peng
307
1
0
23 Jul 2023
Image Background Serves as Good Proxy for Out-of-distribution Data
International Conference on Learning Representations (ICLR), 2023
Sen Pei
281
3
0
02 Jul 2023
Beyond AUROC & co. for evaluating out-of-distribution detection performance
Galadrielle Humblot-Renaux
Sergio Escalera
T. Moeslund
OODD
204
9
0
26 Jun 2023
No Free Lunch: The Hazards of Over-Expressive Representations in Anomaly Detection
Tal Reiss
Niv Cohen
Yedid Hoshen
UQCV
261
7
0
12 Jun 2023
Mitigating Transformer Overconfidence via Lipschitz Regularization
Conference on Uncertainty in Artificial Intelligence (UAI), 2023
Wenqian Ye
Yunsheng Ma
Xu Cao
Kun Tang
203
18
0
12 Jun 2023
How Does Fine-Tuning Impact Out-of-Distribution Detection for Vision-Language Models?
International Journal of Computer Vision (IJCV), 2023
Yifei Ming
Shouqing Yang
OODD
VLM
300
54
0
09 Jun 2023
Conservative Prediction via Data-Driven Confidence Minimization
Caroline Choi
Fahim Tajwar
Yoonho Lee
Huaxiu Yao
Ananya Kumar
Chelsea Finn
162
7
0
08 Jun 2023
Unleashing Mask: Explore the Intrinsic Out-of-Distribution Detection Capability
International Conference on Machine Learning (ICML), 2023
Jianing Zhu
Hengzhuang Li
Jiangchao Yao
Tongliang Liu
Jianliang Xu
Bo Han
OODD
209
19
0
06 Jun 2023
Neuron Activation Coverage: Rethinking Out-of-distribution Detection and Generalization
International Conference on Learning Representations (ICLR), 2023
Zichen Liu
Chris Xing Tian
Haoliang Li
Lei Ma
Shiqi Wang
UQCV
332
26
0
05 Jun 2023
A Data-Driven Measure of Relative Uncertainty for Misclassification Detection
International Conference on Learning Representations (ICLR), 2023
Eduardo Dadalto Camara Gomes
Marco Romanelli
Georg Pichler
Pablo Piantanida
UQCV
278
8
0
02 Jun 2023
LoCoOp: Few-Shot Out-of-Distribution Detection via Prompt Learning
Neural Information Processing Systems (NeurIPS), 2023
Atsuyuki Miyai
Qing Yu
Go Irie
Kiyoharu Aizawa
OODD
448
119
0
02 Jun 2023
In or Out? Fixing ImageNet Out-of-Distribution Detection Evaluation
International Conference on Machine Learning (ICML), 2023
Julian Bitterwolf
Maximilian Müller
Matthias Hein
OODD
289
126
0
01 Jun 2023
Building One-class Detector for Anything: Open-vocabulary Zero-shot OOD Detection Using Text-image Models
Yunhao Ge
Jie Jessie Ren
Jiaping Zhao
Kaifeng Chen
Andrew Gallagher
Laurent Itti
Balaji Lakshminarayanan
VLM
ObjD
194
1
0
26 May 2023
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