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2205.09310
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Mitigating Neural Network Overconfidence with Logit Normalization
International Conference on Machine Learning (ICML), 2022
19 May 2022
Jianguo Huang
Renchunzi Xie
Hao-Ran Cheng
Lei Feng
Bo An
Shouqing Yang
OODD
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Papers citing
"Mitigating Neural Network Overconfidence with Logit Normalization"
50 / 201 papers shown
RankOOD - Class Ranking-based Out-of-Distribution Detection
Dishanika Denipitiyage
Naveen Karunanayake
Suranga Seneviratne
Sanjay Chawla
OODD
217
0
0
25 Nov 2025
SG-OIF: A Stability-Guided Online Influence Framework for Reliable Vision Data
Penghao Rao
Runmin Jiang
Min Xu
124
0
0
21 Nov 2025
BootOOD: Self-Supervised Out-of-Distribution Detection via Synthetic Sample Exposure under Neural Collapse
Yuanchao Wang
Tian Qin
Eduardo Valle
Bruno Abrahao
OODD
317
0
0
17 Nov 2025
GAFD-CC: Global-Aware Feature Decoupling with Confidence Calibration for OOD Detection
Kun Zou
Yongheng Xu
Jianxing Yu
Yan Pan
Jian Yin
Hanjiang Lai
OODD
583
0
0
04 Nov 2025
LOC: A General Language-Guided Framework for Open-Set 3D Occupancy Prediction
Yuhang Gao
Xiang Xiang
Sheng Zhong
Guoyou Wang
124
0
0
25 Oct 2025
Revisiting Logit Distributions for Reliable Out-of-Distribution Detection
Jiachen Liang
Ruibing Hou
Minyang Hu
Hong Chang
Shiguang Shan
Xilin Chen
OODD
312
1
0
23 Oct 2025
SAMOSA: Sharpness Aware Minimization for Open Set Active learning
Young In Kim
Andrea Agiollo
Rajiv Khanna
306
0
0
19 Oct 2025
Local Background Features Matter in Out-of-Distribution Detection
Jinlun Ye
Zhuohao Sun
Yiqiao Qiu
Qiu Li
Zhijun Tan
Ruixuan Wang
OODD
265
0
0
14 Oct 2025
Synergy Between the Strong and the Weak: Spiking Neural Networks are Inherently Self-Distillers
Yongqi Ding
Lin Zuo
Mengmeng Jing
Kunshan Yang
Pei He
Tonglan Xie
132
0
0
09 Oct 2025
A Median Perspective on Unlabeled Data for Out-of-Distribution Detection
Momin Abbas
Ali Falahati
Hossein Goli
Mohammad Mohammadi Amiri
179
2
0
07 Oct 2025
Rethinking Consistent Multi-Label Classification Under Inexact Supervision
Wei Wang
Tianhao Ma
Ming-Kun Xie
Gang Niu
Masashi Sugiyama
181
0
0
05 Oct 2025
Long-Tailed Out-of-Distribution Detection with Refined Separate Class Learning
Shuai Feng
Yuxin Ge
Yuntao Du
Mingcai Chen
Chongjun Wang
Lei Feng
OODD
477
0
0
21 Sep 2025
Calibration-Aware Prompt Learning for Medical Vision-Language Models
Abhishek Basu
Fahad Shamshad
Ashshak Sharifdeen
Karthik Nandakumar
Muhammad Haris Khan
AAML
VLM
140
0
0
18 Sep 2025
ANTS: Adaptive Negative Textual Space Shaping for OOD Detection via Test-Time MLLM Understanding and Reasoning
Wenjie Zhu
Yabin Zhang
Jianfeng Dong
Wenjun Zeng
Lei Zhang
364
0
0
04 Sep 2025
OpenHAIV: A Framework Towards Practical Open-World Learning
Xiang Xiang
Yuwen Tan
Zhuo Xu
Jing Ma
Jiaxin Dai
Yifan Liang
Hanlin Li
CLL
VLM
149
0
0
10 Aug 2025
Knowledge Regularized Negative Feature Tuning of Vision-Language Models for Out-of-Distribution Detection
Wenjie Zhu
Yabin Zhang
Xin Jin
Wenjun Zeng
Lei Zhang
302
0
0
26 Jul 2025
Handling Out-of-Distribution Data: A Survey
IEEE Transactions on Knowledge and Data Engineering (TKDE), 2025
L. Tamang
Mohamed Reda Bouadjenek
Richard Dazeley
S. Aryal
OOD
OODD
334
7
0
25 Jul 2025
NegRefine: Refining Negative Label-Based Zero-Shot OOD Detection
Amirhossein Ansari
Ke Wang
Pulei Xiong
VLM
193
0
0
13 Jul 2025
Open World Object Detection: A Survey
Yiming Li
Yi Wang
Wenqian Wang
Dan Lin
Bingbing Li
Kim-Hui Yap
ObjD
378
24
0
01 Jul 2025
Spurious-Aware Prototype Refinement for Reliable Out-of-Distribution Detection
Reihaneh Zohrabi
Hosein Hasani
M. Baghshah
Anna Rohrbach
Marcus Rohrbach
M. Rohban
OODD
359
1
0
30 Jun 2025
Reliable Few-shot Learning under Dual Noises
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2025
Ji Zhang
Jingkuan Song
Lianli Gao
Andrii Zadaianchuk
Heng Tao Shen
NoLa
351
12
0
19 Jun 2025
Balanced Hyperbolic Embeddings Are Natural Out-of-Distribution Detectors
Tejaswi Kasarla
Max van Spengler
Pascal Mettes
OODD
300
2
0
11 Jun 2025
TRUST: Test-time Resource Utilization for Superior Trustworthiness
Haripriya Harikumar
Santu Rana
233
0
0
06 Jun 2025
Evaluating Logit-Based GOP Scores for Mispronunciation Detection
Aditya Kamlesh Parikh
Cristian Tejedor-García
C. Cucchiarini
H. Strik
242
0
0
02 Jun 2025
Towards Objective Fine-tuning: How LLMs' Prior Knowledge Causes Potential Poor Calibration?
Annual Meeting of the Association for Computational Linguistics (ACL), 2025
Ziming Wang
Zeyu Shi
Haoyi Zhou
Shiqi Gao
Qingyun Sun
Jianxin Li
346
5
0
27 May 2025
Mahalanobis++: Improving OOD Detection via Feature Normalization
Maximilian Mueller
Matthias Hein
OODD
368
9
0
23 May 2025
Extremely Simple Multimodal Outlier Synthesis for Out-of-Distribution Detection and Segmentation
Moru Liu
Hao Dong
Jessica Kelly
Olga Fink
Mario Trapp
OODD
374
4
0
22 May 2025
LoD: Loss-difference OOD Detection by Intentionally Label-Noisifying Unlabeled Wild Data
International Joint Conference on Artificial Intelligence (IJCAI), 2025
Chuanxing Geng
Qifei Li
Xinrui Wang
Dong Liang
Songcan Chen
Pong C. Yuen
353
1
0
19 May 2025
On the Robustness of Reward Models for Language Model Alignment
Jiwoo Hong
Noah Lee
Eunki Kim
Guijin Son
Woojin Chung
Aman Gupta
Shao Tang
Hyunjung Shim
293
7
0
12 May 2025
TrustLoRA: Low-Rank Adaptation for Failure Detection under Out-of-distribution Data
Fei Zhu
Zhaoxiang Zhang
OODD
UQCV
395
1
0
20 Apr 2025
Beyond One-Hot Labels: Semantic Mixing for Model Calibration
Haoyang Luo
Linwei Tao
Minjing Dong
Chang Xu
444
2
0
18 Apr 2025
Bounded and Uniform Energy-based Out-of-distribution Detection for Graphs
International Conference on Machine Learning (ICML), 2025
Shenzhi Yang
Bin Liang
An Liu
Lin Gui
Xingkai Yao
Xiaofang Zhang
OODD
509
10
0
18 Apr 2025
Enhancing Out-of-Distribution Detection with Extended Logit Normalization
Yifan Ding
Xixi Liu
Jonas Unger
Gabriel Eilertsen
OODD
389
2
0
15 Apr 2025
ProtoGCD: Unified and Unbiased Prototype Learning for Generalized Category Discovery
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2025
Shijie Ma
Fei Zhu
Xu-Yao Zhang
Cheng-Lin Liu
296
19
0
02 Apr 2025
Freeze and Cluster: A Simple Baseline for Rehearsal-Free Continual Category Discovery
Chuyu Zhang
Xueyang Yu
Peiyan Gu
Xuming He
CLL
434
0
0
12 Mar 2025
AdaSCALE: Adaptive Scaling for OOD Detection
Sudarshan Regmi
OODD
559
5
0
11 Mar 2025
Open-Insect: Benchmarking Open-Set Recognition of Novel Species in Biodiversity Monitoring
Yuyan Chen
Nico Lang
B. Christian Schmidt
Aditya Jain
Yves Basset
Sara Beery
Maxim Larrivée
David Rolnick
492
1
0
03 Mar 2025
G-OSR: A Comprehensive Benchmark for Graph Open-Set Recognition
Yicong Dong
Rundong He
Guangyao Chen
Wentao Zhang
Zhongyi Han
Jieming Shi
Yilong Yin
323
2
0
01 Mar 2025
CADRef: Robust Out-of-Distribution Detection via Class-Aware Decoupled Relative Feature Leveraging
Computer Vision and Pattern Recognition (CVPR), 2025
Zhiwei Ling
Yachen Chang
Hailiang Zhao
Xinkui Zhao
Kingsum Chow
Shuiguang Deng
OODD
454
5
0
01 Mar 2025
OpenEarthSensing: Large-Scale Fine-Grained Benchmark for Open-World Remote Sensing
Xiang Xiang
Zhuo Xu
Yao Deng
Yuwen Tan
Yifan Liang
Ke Chen
Qingfang Zheng
Yaowei Wang
Xilin Chen
Wen Gao
VLM
423
3
0
28 Feb 2025
Multi-label out-of-distribution detection via evidential learning
Eduardo Aguilar
Bogdan Raducanu
Petia Radeva
OODD
253
4
0
25 Feb 2025
Logit Disagreement: OoD Detection with Bayesian Neural Networks
Kevin Raina
UQCV
BDL
UD
PER
452
1
0
24 Feb 2025
MaxSup: Overcoming Representation Collapse in Label Smoothing
Yuxuan Zhou
Heng Li
Zhi-Qi Cheng
Xudong Yan
Yifei Dong
Mario Fritz
Margret Keuper
546
0
0
18 Feb 2025
Leveraging Intermediate Representations for Better Out-of-Distribution Detection
Gianluca Guglielmo
Marc Masana
OODD
278
1
0
18 Feb 2025
Out-of-Distribution Detection using Synthetic Data Generation
Momin Abbas
Muneeza Azmat
R. Horesh
Mikhail Yurochkin
OODD
578
2
0
05 Feb 2025
A margin-based replacement for cross-entropy loss
Michael W. Spratling
Heiko H. Schütt
319
0
0
21 Jan 2025
Exploring Structured Semantic Priors Underlying Diffusion Score for Test-time Adaptation
Neural Information Processing Systems (NeurIPS), 2025
Mingjia Li
Shuang Li
Tongrui Su
Longhui Yuan
Jian Liang
Wei Li
DiffM
270
1
0
03 Jan 2025
Mining In-distribution Attributes in Outliers for Out-of-distribution Detection
AAAI Conference on Artificial Intelligence (AAAI), 2024
Yutian Lei
Luping Ji
Pei Liu
OODD
268
3
0
16 Dec 2024
Quantum-Cognitive Neural Networks: Assessing Confidence and Uncertainty with Human Decision-Making Simulations
Big Data and Cognitive Computing (BDCC), 2024
Milan Maksimovic
Ivan S. Maksymov
145
8
0
11 Dec 2024
Learning Structured Representations with Hyperbolic Embeddings
Neural Information Processing Systems (NeurIPS), 2024
Aditya Sinha
Siqi Zeng
M. Yamada
Han Zhao
399
9
0
02 Dec 2024
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