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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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A new approach for fine-tuning sentence transformers for intent classification and out-of-scope detection tasks
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Atta Norouzian
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Frederick Ducatelle
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17 Oct 2024
Conjugated Semantic Pool Improves OOD Detection with Pre-trained Vision-Language Models
Neural Information Processing Systems (NeurIPS), 2024
Mengyuan Chen
Junyu Gao
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VLM
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335
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11 Oct 2024
Toward a Holistic Evaluation of Robustness in CLIP Models
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2024
Weijie Tu
Weijian Deng
Tom Gedeon
VLM
352
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02 Oct 2024
TPN: Transferable Proto-Learning Network towards Few-shot Document-Level Relation Extraction
IEEE International Joint Conference on Neural Network (IJCNN), 2024
Yu Zhang
Zhao Kang
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1
0
01 Oct 2024
Collaborative Knowledge Distillation via a Learning-by-Education Node Community
Anestis Kaimakamidis
Ioannis Mademlis
Ioannis Pitas
370
1
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30 Sep 2024
Textual Training for the Hassle-Free Removal of Unwanted Visual Data: Case Studies on OOD and Hateful Image Detection
Neural Information Processing Systems (NeurIPS), 2024
Saehyung Lee
J. Mok
Sangha Park
Yongho Shin
Dahuin Jung
Sungroh Yoon
293
0
0
30 Sep 2024
Visual Concept Networks: A Graph-Based Approach to Detecting Anomalous Data in Deep Neural Networks
International Conferences on Pattern Recognition and Artificial Intelligence (ICCPRAI), 2024
Debargha Ganguly
Debayan Gupta
Vipin Chaudhary
GNN
184
1
0
26 Sep 2024
Out-of-Distribution Detection: A Task-Oriented Survey of Recent Advances
Shuo Lu
YingSheng Wang
Lijun Sheng
Lingxiao He
A. Zheng
Jian Liang
OODD
562
7
0
18 Sep 2024
Diversity-grounded Channel Prototypical Learning for Out-of-Distribution Intent Detection
Bo Liu
Liming Zhan
Yujie Feng
Zexin Lu
Chengqiang Xie
Lei Xue
Albert Y. S. Lam
Xiao-Ming Wu
OODD
285
1
0
17 Sep 2024
Adapting Vision-Language Models to Open Classes via Test-Time Prompt Tuning
Chinese Conference on Pattern Recognition and Computer Vision (CPRCV), 2024
Zhengqing Gao
Xiang Ao
Xu-Yao Zhang
Cheng-Lin Liu
VLM
VPVLM
302
1
0
29 Aug 2024
Out-of-Distribution Detection with Attention Head Masking for Multimodal Document Classification
Christos Constantinou
Georgios Ioannides
Vasu Sharma
Aaron Elkins
Edwin Simpson
OODD
172
1
0
20 Aug 2024
Ensemble everything everywhere: Multi-scale aggregation for adversarial robustness
Stanislav Fort
Balaji Lakshminarayanan
OOD
AAML
175
16
0
08 Aug 2024
Dimensionality Reduction and Nearest Neighbors for Improving Out-of-Distribution Detection in Medical Image Segmentation
M. Woodland
Nihil Patel
Austin Castelo
Mais Al Taie
Mohamed Eltaher
...
Nakul Gupta
David Victor
Laura Beretta
Ankit B. Patel
Kristy K. Brock
OOD
202
2
0
05 Aug 2024
Open Set Recognition for Random Forest
International Conference on AI in Finance (ICAF), 2024
Guanchao Feng
Dhruv Desai
Stefano Pasquali
Dhagash Mehta
BDL
148
7
0
01 Aug 2024
Generalized Out-of-Distribution Detection and Beyond in Vision Language Model Era: A Survey
Atsuyuki Miyai
Jingkang Yang
Jingyang Zhang
Yifei Ming
Sisir Dhakal
...
Yixuan Li
Hai "Helen" Li
Ziwei Liu
Toshihiko Yamasaki
Kiyoharu Aizawa
375
30
0
31 Jul 2024
Category-Extensible Out-of-Distribution Detection via Hierarchical Context Descriptions
Kai-Chun Liu
Zhihang Fu
Chao Chen
Sheng Jin
Ze Chen
Mingyuan Tao
Rongxin Jiang
Jieping Ye
VLM
OODD
230
7
0
23 Jul 2024
Rethinking Out-of-Distribution Detection on Imbalanced Data Distribution
Kai-Chun Liu
Zhihang Fu
Sheng Jin
Chao Chen
Ze Chen
Rongxin Jiang
Fan Zhou
Yao-Shen Chen
Jieping Ye
OODD
209
2
0
23 Jul 2024
LAPT: Label-driven Automated Prompt Tuning for OOD Detection with Vision-Language Models
Yabin Zhang
Wenjie Zhu
Chenhang He
Lei Zhang
VLM
370
17
0
12 Jul 2024
Improving Out-of-Distribution Detection by Combining Existing Post-hoc Methods
Paul Novello
Yannick Prudent
Joseba Dalmau
Corentin Friedrich
Y. Pequignot
OODD
183
1
0
09 Jul 2024
Introducing Ínside' Out of Distribution
Teddy Lazebnik
419
1
0
05 Jul 2024
For a semiotic AI: Bridging computer vision and visual semiotics for computational observation of large scale facial image archives
Lia Morra
A. Santangelo
Pietro Basci
Luca Piano
Fabio Garcea
Fabrizio Lamberti
Massimo Leone
198
3
0
03 Jul 2024
SeTAR: Out-of-Distribution Detection with Selective Low-Rank Approximation
Neural Information Processing Systems (NeurIPS), 2024
Yixia Li
Boya Xiong
Guanhua Chen
Yun Chen
OODD
259
7
0
18 Jun 2024
How Out-of-Distribution Detection Learning Theory Enhances Transformer: Learnability and Reliability
Yijin Zhou
Yutang Ge
Xiaowen Dong
Yuguang Wang
528
0
0
13 Jun 2024
Failures Are Fated, But Can Be Faded: Characterizing and Mitigating Unwanted Behaviors in Large-Scale Vision and Language Models
Som Sagar
Aditya Taparia
Ransalu Senanayake
294
11
0
11 Jun 2024
Zero-Shot Out-of-Distribution Detection with Outlier Label Exposure
Choubo Ding
Guansong Pang
OODD
VLM
255
6
0
03 Jun 2024
Envisioning Outlier Exposure by Large Language Models for Out-of-Distribution Detection
Chentao Cao
Zhun Zhong
Zhanke Zhou
Yang Liu
Tongliang Liu
Bo Han
OODD
234
25
0
02 Jun 2024
When and How Does In-Distribution Label Help Out-of-Distribution Detection?
Xuefeng Du
Yiyou Sun
Shouqing Yang
308
10
0
28 May 2024
Enhancing Near OOD Detection in Prompt Learning: Maximum Gains, Minimal Costs
M. Jung
He Zhao
Joanna Dipnall
Lan Du
Lan Du
VLM
OODD
270
3
0
25 May 2024
Automated Repair of AI Code with Large Language Models and Formal Verification
Yiannis Charalambous
Edoardo Manino
Lucas C. Cordeiro
139
5
0
14 May 2024
A View on Out-of-Distribution Identification from a Statistical Testing Theory Perspective
Alberto Caron
Chris Hicks
V. Mavroudis
OODD
511
2
0
05 May 2024
Out-of-distribution Detection in Medical Image Analysis: A survey
Zesheng Hong
Yubiao Yue
Yubin Chen
Lele Cong
Huanjie Lin
...
Jialong Xu
Xiaoqi Yang
Hechang Chen
Zhenzhang Li
Sihong Xie
OOD
237
15
0
28 Apr 2024
Is Retain Set All You Need in Machine Unlearning? Restoring Performance of Unlearned Models with Out-Of-Distribution Images
Jacopo Bonato
Marco Cotogni
Luigi Sabetta
MU
CLL
343
19
0
19 Apr 2024
Toward a Realistic Benchmark for Out-of-Distribution Detection
Pietro Recalcati
Fabio Garcea
Luca Piano
Fabrizio Lamberti
Lia Morra
OODD
319
1
0
16 Apr 2024
CLIP-driven Outliers Synthesis for few-shot OOD detection
Hao Sun
Rundong He
Zhongyi Han
Zhicong Lin
Yongshun Gong
Yilong Yin
OODD
369
8
0
30 Mar 2024
Negative Label Guided OOD Detection with Pretrained Vision-Language Models
Xue Jiang
Yifan Zhang
Zhengfeng Fang
Hong Chen
Tongliang Liu
Feng Zheng
Bo Han
VLM
300
60
0
29 Mar 2024
Enabling Uncertainty Estimation in Iterative Neural Networks
Nikita Durasov
Doruk Öner
Jonathan Donier
Hieu M. Le
Pascal Fua
UQCV
732
11
0
25 Mar 2024
Out-of-Distribution Detection Using Peer-Class Generated by Large Language Model
K. Huang
G. Song
Hanwen Su
Jiyan Wang
OODD
223
1
0
20 Mar 2024
COOD: Combined out-of-distribution detection using multiple measures for anomaly & novel class detection in large-scale hierarchical classification
L. E. Hogeweg
R. Gangireddy
D. Brunink
Vincent J. Kalkman
L. Cornelissen
J. W. Kamminga
OODD
214
6
0
11 Mar 2024
Generating Hard-Negative Out-of-Scope Data with ChatGPT for Intent Classification
International Conference on Language Resources and Evaluation (LREC), 2024
Zhijian Li
Stefan Larson
Kevin Leach
OODD
189
3
0
08 Mar 2024
Contrastive Instruction Tuning
Tianyi Yan
Fei Wang
James Y. Huang
Wenxuan Zhou
Fan Yin
Aram Galstyan
Wenpeng Yin
Muhao Chen
ALM
306
10
0
17 Feb 2024
Deep and shallow data science for multi-scale optical neuroscience
Zhengchao Wan
Adam Charles
122
1
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13 Feb 2024
A Closer Look at the Robustness of Contrastive Language-Image Pre-Training (CLIP)
Neural Information Processing Systems (NeurIPS), 2024
Weijie Tu
Weijian Deng
Tom Gedeon
UQCV
VLM
215
52
0
12 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
430
4
0
07 Feb 2024
How Does Unlabeled Data Provably Help Out-of-Distribution Detection?
International Conference on Learning Representations (ICLR), 2024
Xuefeng Du
Zhen Fang
Ilias Diakonikolas
Shouqing Yang
OODD
250
34
0
05 Feb 2024
Optimal Parameter and Neuron Pruning for Out-of-Distribution Detection
Chao Chen
Zhihang Fu
Kai-Chun Liu
Ze Chen
Mingyuan Tao
Jieping Ye
OODD
243
6
0
04 Feb 2024
Towards Optimal Feature-Shaping Methods for Out-of-Distribution Detection
Qinyu Zhao
Ming Xu
Kartik Gupta
Akshay Asthana
Liang Zheng
Stephen Gould
OODD
125
10
0
01 Feb 2024
LTAU-FF: Loss Trajectory Analysis for Uncertainty in Atomistic Force Fields
Joshua A. Vita
Amit Samanta
Fei Zhou
Vincenzo Lordi
220
4
0
01 Feb 2024
Overcoming the Pitfalls of Vision-Language Model Finetuning for OOD Generalization
International Conference on Learning Representations (ICLR), 2024
Yuhang Zang
Hanlin Goh
Josh Susskind
Chen Huang
VLM
293
16
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29 Jan 2024
Detecting Out-of-Distribution Samples via Conditional Distribution Entropy with Optimal Transport
Chuanwen Feng
Wenlong Chen
Ao Ke
Yilong Ren
Xike Xie
S.Kevin Zhou
OODD
152
0
0
22 Jan 2024
Rethinking Test-time Likelihood: The Likelihood Path Principle and Its Application to OOD Detection
Sicong Huang
Jiawei He
Kry Yik-Chau Lui
212
0
0
10 Jan 2024
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