Papers
Communities
Events
Blog
Pricing
Search
Open menu
Home
Papers
2106.03004
Cited By
Exploring the Limits of Out-of-Distribution Detection
6 June 2021
Stanislav Fort
Jie Jessie Ren
Balaji Lakshminarayanan
Re-assign community
ArXiv
PDF
HTML
Papers citing
"Exploring the Limits of Out-of-Distribution Detection"
50 / 54 papers shown
Title
Large Language Models for Anomaly and Out-of-Distribution Detection: A Survey
Ruiyao Xu
Kaize Ding
57
5
0
17 Feb 2025
Out-of-Distribution Detection using Synthetic Data Generation
Momin Abbas
Muneeza Azmat
R. Horesh
Mikhail Yurochkin
47
1
0
05 Feb 2025
Your Data Is Not Perfect: Towards Cross-Domain Out-of-Distribution Detection in Class-Imbalanced Data
Xiang Fang
Arvind Easwaran
B. Genest
Ponnuthurai Nagaratnam Suganthan
83
14
0
09 Dec 2024
PViT: Prior-augmented Vision Transformer for Out-of-distribution Detection
Tianhao Zhang
Zhixiang Chen
Lyudmila Mihaylova
118
0
0
27 Oct 2024
Reflexive Guidance: Improving OoDD in Vision-Language Models via Self-Guided Image-Adaptive Concept Generation
Seulbi Lee
J. Kim
Sangheum Hwang
LRM
124
0
0
19 Oct 2024
Conjugated Semantic Pool Improves OOD Detection with Pre-trained Vision-Language Models
Mengyuan Chen
Junyu Gao
Changsheng Xu
VLM
OODD
30
0
0
11 Oct 2024
Recent Advances in OOD Detection: Problems and Approaches
Shuo Lu
YingSheng Wang
Lijun Sheng
Aihua Zheng
Lingxiao He
Jian Liang
OODD
66
3
0
18 Sep 2024
Introducing Ínside' Out of Distribution
Teddy Lazebnik
31
1
0
05 Jul 2024
Continual Unsupervised Out-of-Distribution Detection
Lars Doorenbos
Raphael Sznitman
Pablo Márquez-Neila
OODD
33
0
0
04 Jun 2024
Contrastive Instruction Tuning
Tianyi Yan
Fei Wang
James Y. Huang
Wenxuan Zhou
Fan Yin
Aram Galstyan
Wenpeng Yin
Muhao Chen
ALM
23
5
0
17 Feb 2024
LEVI: Generalizable Fine-tuning via Layer-wise Ensemble of Different Views
Yuji Roh
Qingyun Liu
Huan Gui
Zhe Yuan
Yujin Tang
...
Liang Liu
Shuchao Bi
Lichan Hong
Ed H. Chi
Zhe Zhao
43
1
0
07 Feb 2024
Overcoming the Pitfalls of Vision-Language Model Finetuning for OOD Generalization
Yuhang Zang
Hanlin Goh
Josh Susskind
Chen Huang
VLM
34
12
0
29 Jan 2024
Scaling Laws for Adversarial Attacks on Language Model Activations
Stanislav Fort
21
14
0
05 Dec 2023
Diversified Outlier Exposure for Out-of-Distribution Detection via Informative Extrapolation
Jianing Zhu
Geng Yu
Jiangchao Yao
Tongliang Liu
Gang Niu
Masashi Sugiyama
Bo Han
OODD
32
30
0
21 Oct 2023
Unmasking the Chameleons: A Benchmark for Out-of-Distribution Detection in Medical Tabular Data
Mohammad Azizmalayeri
Ameen Abu-Hanna
Dirk Kraft
OOD
22
5
0
28 Sep 2023
SupEuclid: Extremely Simple, High Quality OoD Detection with Supervised Contrastive Learning and Euclidean Distance
J. Haas
OODD
12
0
0
21 Aug 2023
Dimensionality Reduction for Improving Out-of-Distribution Detection in Medical Image Segmentation
M. Woodland
Nihil Patel
Mais Al Taie
J. Yung
T. Netherton
Ankit B. Patel
Kristy K. Brock
OOD
30
6
0
07 Aug 2023
HOOD: Real-Time Human Presence and Out-of-Distribution Detection Using FMCW Radar
Sabri Mustafa Kahya
Muhammet Sami Yavuz
Eckehard Steinbach
33
3
0
24 Jul 2023
Image Background Serves as Good Proxy for Out-of-distribution Data
Sen Pei
34
1
0
02 Jul 2023
Unleashing Mask: Explore the Intrinsic Out-of-Distribution Detection Capability
Jianing Zhu
Hengzhuang Li
Jiangchao Yao
Tongliang Liu
Jianliang Xu
Bo Han
OODD
40
12
0
06 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
26
1
0
26 May 2023
Out-of-Distribution Generalization in Text Classification: Past, Present, and Future
Linyi Yang
Y. Song
Xuan Ren
Chenyang Lyu
Yidong Wang
Lingqiao Liu
Jindong Wang
Jennifer Foster
Yue Zhang
OOD
32
2
0
23 May 2023
WDiscOOD: Out-of-Distribution Detection via Whitened Linear Discriminant Analysis
Yiye Chen
Yunzhi Lin
Ruinian Xu
Patricio A. Vela
OODD
24
3
0
14 Mar 2023
Average of Pruning: Improving Performance and Stability of Out-of-Distribution Detection
Zhen Cheng
Fei Zhu
Xu-Yao Zhang
Cheng-Lin Liu
MoMe
OODD
40
11
0
02 Mar 2023
ConMAE: Contour Guided MAE for Unsupervised Vehicle Re-Identification
J. Yang
Jianwu Fang
Hong-ke Xu
19
3
0
11 Feb 2023
Scaling Vision Transformers to 22 Billion Parameters
Mostafa Dehghani
Josip Djolonga
Basil Mustafa
Piotr Padlewski
Jonathan Heek
...
Mario Luvcić
Xiaohua Zhai
Daniel Keysers
Jeremiah Harmsen
N. Houlsby
MLLM
61
570
0
10 Feb 2023
Learning Generalized Zero-Shot Learners for Open-Domain Image Geolocalization
Lukas Haas
Silas Alberti
Michal Skreta
VLM
23
21
0
01 Feb 2023
A Call to Reflect on Evaluation Practices for Failure Detection in Image Classification
Paul F. Jaeger
Carsten T. Lüth
Lukas Klein
Till J. Bungert
UQCV
26
35
0
28 Nov 2022
Deep Fake Detection, Deterrence and Response: Challenges and Opportunities
Amin Azmoodeh
Ali Dehghantanha
32
2
0
26 Nov 2022
Delving into Out-of-Distribution Detection with Vision-Language Representations
Yifei Ming
Ziyan Cai
Jiuxiang Gu
Yiyou Sun
W. Li
Yixuan Li
VLM
OODD
40
157
0
24 Nov 2022
Is Out-of-Distribution Detection Learnable?
Zhen Fang
Yixuan Li
Jie Lu
Jiahua Dong
Bo Han
Feng Liu
OODD
30
124
0
26 Oct 2022
Explanation Shift: Detecting distribution shifts on tabular data via the explanation space
Carlos Mougan
Klaus Broelemann
Gjergji Kasneci
T. Tiropanis
Steffen Staab
FAtt
25
7
0
22 Oct 2022
GAPX: Generalized Autoregressive Paraphrase-Identification X
Yi Zhou
Renyu Li
Hayden Housen
Ser-Nam Lim
BDL
27
0
0
05 Oct 2022
Goal Misgeneralization: Why Correct Specifications Aren't Enough For Correct Goals
Rohin Shah
Vikrant Varma
Ramana Kumar
Mary Phuong
Victoria Krakovna
J. Uesato
Zachary Kenton
32
68
0
04 Oct 2022
On the interplay of adversarial robustness and architecture components: patches, convolution and attention
Francesco Croce
Matthias Hein
41
6
0
14 Sep 2022
The Value of Out-of-Distribution Data
Ashwin De Silva
Rahul Ramesh
Carey E. Priebe
Pratik Chaudhari
Joshua T. Vogelstein
OODD
19
11
0
23 Aug 2022
An Impartial Take to the CNN vs Transformer Robustness Contest
Francesco Pinto
Philip H. S. Torr
P. Dokania
UQCV
AAML
27
48
0
22 Jul 2022
POEM: Out-of-Distribution Detection with Posterior Sampling
Yifei Ming
Ying Fan
Yixuan Li
OODD
27
113
0
28 Jun 2022
CodeS: Towards Code Model Generalization Under Distribution Shift
Qiang Hu
Yuejun Guo
Xiaofei Xie
Maxime Cordy
Lei Ma
Mike Papadakis
Yves Le Traon
OOD
28
10
0
11 Jun 2022
It's DONE: Direct ONE-shot learning with quantile weight imprinting
Kazufumi Hosoda
Keigo Nishida
S. Seno
Tomohiro Mashita
H. Kashioka
I. Ohzawa
17
2
0
28 Apr 2022
Training a Helpful and Harmless Assistant with Reinforcement Learning from Human Feedback
Yuntao Bai
Andy Jones
Kamal Ndousse
Amanda Askell
Anna Chen
...
Jack Clark
Sam McCandlish
C. Olah
Benjamin Mann
Jared Kaplan
72
2,318
0
12 Apr 2022
Self-Supervised Losses for One-Class Textual Anomaly Detection
Kimberly T. Mai
Toby O. Davies
Lewis D. Griffin
12
7
0
12 Apr 2022
No Shifted Augmentations (NSA): compact distributions for robust self-supervised Anomaly Detection
Mohamed Yousef
Marcel R. Ackermann
Unmesh Kurup
Tom E. Bishop
OODD
OOD
34
3
0
19 Mar 2022
Reconstructing Training Data with Informed Adversaries
Borja Balle
Giovanni Cherubin
Jamie Hayes
MIACV
AAML
35
158
0
13 Jan 2022
Exploring Covariate and Concept Shift for Detection and Calibration of Out-of-Distribution Data
Junjiao Tian
Yen-Change Hsu
Yilin Shen
Hongxia Jin
Z. Kira
OODD
19
6
0
28 Oct 2021
Generalized Out-of-Distribution Detection: A Survey
Jingkang Yang
Kaiyang Zhou
Yixuan Li
Ziwei Liu
185
877
0
21 Oct 2021
Deep Classifiers with Label Noise Modeling and Distance Awareness
Vincent Fortuin
Mark Collier
F. Wenzel
J. Allingham
J. Liu
Dustin Tran
Balaji Lakshminarayanan
Jesse Berent
Rodolphe Jenatton
E. Kokiopoulou
UQCV
34
11
0
06 Oct 2021
A Simple Fix to Mahalanobis Distance for Improving Near-OOD Detection
Jie Jessie Ren
Stanislav Fort
J. Liu
Abhijit Guha Roy
Shreyas Padhy
Balaji Lakshminarayanan
UQCV
33
216
0
16 Jun 2021
Intriguing Properties of Vision Transformers
Muzammal Naseer
Kanchana Ranasinghe
Salman Khan
Munawar Hayat
F. Khan
Ming-Hsuan Yang
ViT
256
621
0
21 May 2021
MLP-Mixer: An all-MLP Architecture for Vision
Ilya O. Tolstikhin
N. Houlsby
Alexander Kolesnikov
Lucas Beyer
Xiaohua Zhai
...
Andreas Steiner
Daniel Keysers
Jakob Uszkoreit
Mario Lucic
Alexey Dosovitskiy
271
2,603
0
04 May 2021
1
2
Next