ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 1610.02136
  4. Cited By
A Baseline for Detecting Misclassified and Out-of-Distribution Examples
  in Neural Networks

A Baseline for Detecting Misclassified and Out-of-Distribution Examples in Neural Networks

7 October 2016
Dan Hendrycks
Kevin Gimpel
    UQCV
ArXivPDFHTML

Papers citing "A Baseline for Detecting Misclassified and Out-of-Distribution Examples in Neural Networks"

50 / 778 papers shown
Title
Improving Semi-supervised Deep Learning by using Automatic Thresholding
  to Deal with Out of Distribution Data for COVID-19 Detection using Chest
  X-ray Images
Improving Semi-supervised Deep Learning by using Automatic Thresholding to Deal with Out of Distribution Data for COVID-19 Detection using Chest X-ray Images
Isaac Benavides-Mata
Saul Calderon-Ramirez
21
3
0
03 Nov 2022
DetAIL : A Tool to Automatically Detect and Analyze Drift In Language
DetAIL : A Tool to Automatically Detect and Analyze Drift In Language
Nishtha Madaan
Adithya Manjunatha
Hrithik Nambiar
Aviral Goel
H. Kumar
Diptikalyan Saha
Srikanta J. Bedathur
22
4
0
03 Nov 2022
On Out-of-Distribution Detection for Audio with Deep Nearest Neighbors
On Out-of-Distribution Detection for Audio with Deep Nearest Neighbors
Zaharah Bukhsh
Aaqib Saeed
OODD
45
9
0
27 Oct 2022
Is Out-of-Distribution Detection Learnable?
Is Out-of-Distribution Detection Learnable?
Zhen Fang
Yixuan Li
Jie Lu
Jiahua Dong
Bo Han
Feng Liu
OODD
44
125
0
26 Oct 2022
Progressive Sentiment Analysis for Code-Switched Text Data
Progressive Sentiment Analysis for Code-Switched Text Data
Sudhanshu Ranjan
Dheeraj Mekala
Jingbo Shang
34
4
0
25 Oct 2022
Revisiting Softmax for Uncertainty Approximation in Text Classification
Revisiting Softmax for Uncertainty Approximation in Text Classification
Andreas Nugaard Holm
Dustin Wright
Isabelle Augenstein
BDL
UQCV
29
9
0
25 Oct 2022
Bridging Machine Learning and Sciences: Opportunities and Challenges
Bridging Machine Learning and Sciences: Opportunities and Challenges
Taoli Cheng
UQCV
OOD
AI4CE
27
2
0
24 Oct 2022
Falsehoods that ML researchers believe about OOD detection
Falsehoods that ML researchers believe about OOD detection
Andi Zhang
Damon J. Wischik
OODD
19
6
0
23 Oct 2022
ADDMU: Detection of Far-Boundary Adversarial Examples with Data and
  Model Uncertainty Estimation
ADDMU: Detection of Far-Boundary Adversarial Examples with Data and Model Uncertainty Estimation
Fan Yin
Yao Li
Cho-Jui Hsieh
Kai-Wei Chang
AAML
72
4
0
22 Oct 2022
Explanation Shift: Detecting distribution shifts on tabular data via the
  explanation space
Explanation Shift: Detecting distribution shifts on tabular data via the explanation space
Carlos Mougan
Klaus Broelemann
Gjergji Kasneci
T. Tiropanis
Steffen Staab
FAtt
37
7
0
22 Oct 2022
Augmentation by Counterfactual Explanation -- Fixing an Overconfident
  Classifier
Augmentation by Counterfactual Explanation -- Fixing an Overconfident Classifier
Sumedha Singla
Nihal Murali
Forough Arabshahi
Sofia Triantafyllou
Kayhan Batmanghelich
CML
59
5
0
21 Oct 2022
XC: Exploring Quantitative Use Cases for Explanations in 3D Object
  Detection
XC: Exploring Quantitative Use Cases for Explanations in 3D Object Detection
Sunsheng Gu
Vahdat Abdelzad
Krzysztof Czarnecki
32
1
0
20 Oct 2022
Exploring Predictive Uncertainty and Calibration in NLP: A Study on the
  Impact of Method & Data Scarcity
Exploring Predictive Uncertainty and Calibration in NLP: A Study on the Impact of Method & Data Scarcity
Dennis Ulmer
J. Frellsen
Christian Hardmeier
200
22
0
20 Oct 2022
Enhancing Out-of-Distribution Detection in Natural Language
  Understanding via Implicit Layer Ensemble
Enhancing Out-of-Distribution Detection in Natural Language Understanding via Implicit Layer Ensemble
Hyunsoo Cho
Choonghyun Park
Jaewoo Kang
Kang Min Yoo
Taeuk Kim
Sang-goo Lee
OODD
32
8
0
20 Oct 2022
UniNL: Aligning Representation Learning with Scoring Function for OOD
  Detection via Unified Neighborhood Learning
UniNL: Aligning Representation Learning with Scoring Function for OOD Detection via Unified Neighborhood Learning
Yutao Mou
Pei Wang
Keqing He
Yanan Wu
Jingang Wang
Wei Wu
Weiran Xu
29
6
0
19 Oct 2022
Uncertainty in Extreme Multi-label Classification
Uncertainty in Extreme Multi-label Classification
Jyun-Yu Jiang
Wei-Cheng Chang
Jiong Zhong
Cho-Jui Hsieh
Hsiang-Fu Yu
UQCV
21
0
0
18 Oct 2022
Packed-Ensembles for Efficient Uncertainty Estimation
Packed-Ensembles for Efficient Uncertainty Estimation
Olivier Laurent
Adrien Lafage
Enzo Tartaglione
Geoffrey Daniel
Jean-Marc Martinez
Andrei Bursuc
Gianni Franchi
OODD
48
32
0
17 Oct 2022
Pseudo-OOD training for robust language models
Pseudo-OOD training for robust language models
Dhanasekar Sundararaman
Nikhil Mehta
Lawrence Carin
25
0
0
17 Oct 2022
Evaluating Out-of-Distribution Performance on Document Image Classifiers
Evaluating Out-of-Distribution Performance on Document Image Classifiers
Stefan Larson
Gordon Lim
Yutong Ai
David Kuang
Kevin Leach
OODD
OOD
42
18
0
14 Oct 2022
The Open-World Lottery Ticket Hypothesis for OOD Intent Classification
The Open-World Lottery Ticket Hypothesis for OOD Intent Classification
Yunhua Zhou
Pengyu Wang
Peiju Liu
Yuxin Wang
Xipeng Qiu
36
2
0
13 Oct 2022
Exploiting Mixed Unlabeled Data for Detecting Samples of Seen and Unseen
  Out-of-Distribution Classes
Exploiting Mixed Unlabeled Data for Detecting Samples of Seen and Unseen Out-of-Distribution Classes
Yifang Sun
Wei Wang
OODD
29
5
0
13 Oct 2022
Meta-Query-Net: Resolving Purity-Informativeness Dilemma in Open-set
  Active Learning
Meta-Query-Net: Resolving Purity-Informativeness Dilemma in Open-set Active Learning
Dongmin Park
Yooju Shin
Jihwan Bang
Youngjune Lee
Hwanjun Song
Jae-Gil Lee
62
25
0
13 Oct 2022
VL4Pose: Active Learning Through Out-Of-Distribution Detection For Pose
  Estimation
VL4Pose: Active Learning Through Out-Of-Distribution Detection For Pose Estimation
Megh Shukla
Roshan Roy
Pankaj Singh
Shuaib Ahmed
Alexandre Alahi
35
12
0
12 Oct 2022
Model Cascading: Towards Jointly Improving Efficiency and Accuracy of
  NLP Systems
Model Cascading: Towards Jointly Improving Efficiency and Accuracy of NLP Systems
Neeraj Varshney
Chitta Baral
30
27
0
11 Oct 2022
Investigating the Failure Modes of the AUC metric and Exploring
  Alternatives for Evaluating Systems in Safety Critical Applications
Investigating the Failure Modes of the AUC metric and Exploring Alternatives for Evaluating Systems in Safety Critical Applications
Swaroop Mishra
Anjana Arunkumar
Chitta Baral
38
0
0
10 Oct 2022
Boosting Out-of-distribution Detection with Typical Features
Boosting Out-of-distribution Detection with Typical Features
Yao Zhu
YueFeng Chen
Chuanlong Xie
Xiaodan Li
Rong Zhang
Hui Xue
Xiang Tian
Bolun Zheng
Yao-wu Chen
OODD
86
50
0
09 Oct 2022
Two Video Data Sets for Tracking and Retrieval of Out of Distribution
  Objects
Two Video Data Sets for Tracking and Retrieval of Out of Distribution Objects
Kira Maag
Robin Shing Moon Chan
Svenja Uhlemeyer
K. Kowol
Hanno Gottschalk
47
19
0
05 Oct 2022
GMMSeg: Gaussian Mixture based Generative Semantic Segmentation Models
GMMSeg: Gaussian Mixture based Generative Semantic Segmentation Models
Chen Liang
Wenguan Wang
Jiaxu Miao
Yi Yang
VLM
46
117
0
05 Oct 2022
GAPX: Generalized Autoregressive Paraphrase-Identification X
GAPX: Generalized Autoregressive Paraphrase-Identification X
Yi Zhou
Renyu Li
Hayden Housen
Ser-Nam Lim
BDL
49
0
0
05 Oct 2022
Understanding Prior Bias and Choice Paralysis in Transformer-based
  Language Representation Models through Four Experimental Probes
Understanding Prior Bias and Choice Paralysis in Transformer-based Language Representation Models through Four Experimental Probes
Ke Shen
Mayank Kejriwal
29
4
0
03 Oct 2022
Out-of-Distribution Detection and Selective Generation for Conditional
  Language Models
Out-of-Distribution Detection and Selective Generation for Conditional Language Models
Jie Jessie Ren
Jiaming Luo
Yao-Min Zhao
Kundan Krishna
Mohammad Saleh
Balaji Lakshminarayanan
Peter J. Liu
OODD
75
98
0
30 Sep 2022
Transfer Learning with Pretrained Remote Sensing Transformers
Transfer Learning with Pretrained Remote Sensing Transformers
A. Fuller
K. Millard
J.R. Green
39
11
0
28 Sep 2022
NashAE: Disentangling Representations through Adversarial Covariance
  Minimization
NashAE: Disentangling Representations through Adversarial Covariance Minimization
Eric C. Yeats
Frank Liu
David A. P. Womble
Hai Helen Li
CML
43
10
0
21 Sep 2022
Extremely Simple Activation Shaping for Out-of-Distribution Detection
Extremely Simple Activation Shaping for Out-of-Distribution Detection
Andrija Djurisic
Nebojsa Bozanic
Arjun Ashok
Rosanne Liu
OODD
172
152
0
20 Sep 2022
Towards Bridging the Performance Gaps of Joint Energy-based Models
Towards Bridging the Performance Gaps of Joint Energy-based Models
Xiulong Yang
Qing Su
Shihao Ji
VLM
18
12
0
16 Sep 2022
On the Relation between Sensitivity and Accuracy in In-context Learning
On the Relation between Sensitivity and Accuracy in In-context Learning
Yanda Chen
Chen Zhao
Zhou Yu
Kathleen McKeown
He He
182
77
0
16 Sep 2022
Distribution Calibration for Out-of-Domain Detection with Bayesian
  Approximation
Distribution Calibration for Out-of-Domain Detection with Bayesian Approximation
Yanan Wu
Zhiyuan Zeng
Keqing He
Yutao Mou
Pei Wang
Weiran Xu
50
8
0
14 Sep 2022
On the Optimal Combination of Cross-Entropy and Soft Dice Losses for
  Lesion Segmentation with Out-of-Distribution Robustness
On the Optimal Combination of Cross-Entropy and Soft Dice Losses for Lesion Segmentation with Out-of-Distribution Robustness
Adrian Galdran
G. Carneiro
M. A. G. Ballester
OOD
26
17
0
13 Sep 2022
Generalized Intent Discovery: Learning from Open World Dialogue System
Generalized Intent Discovery: Learning from Open World Dialogue System
Yutao Mou
Keqing He
Yanan Wu
Pei Wang
Jingang Wang
Wei Wu
Y. Huang
Junlan Feng
Weiran Xu
42
8
0
13 Sep 2022
Saliency Guided Adversarial Training for Learning Generalizable Features
  with Applications to Medical Imaging Classification System
Saliency Guided Adversarial Training for Learning Generalizable Features with Applications to Medical Imaging Classification System
Xin Li
Yao Qiang
Chengyin Li
Sijia Liu
D. Zhu
OOD
MedIm
42
4
0
09 Sep 2022
Improving Self-supervised Learning for Out-of-distribution Task via
  Auxiliary Classifier
Improving Self-supervised Learning for Out-of-distribution Task via Auxiliary Classifier
Harshita Boonlia
T. Dam
Md Meftahul Ferdaus
S. Anavatti
Ankan Mullick
OODD
18
4
0
07 Sep 2022
Improving Robustness to Out-of-Distribution Data by Frequency-based
  Augmentation
Improving Robustness to Out-of-Distribution Data by Frequency-based Augmentation
Koki Mukai
Soichiro Kumano
T. Yamasaki
OODD
OOD
23
10
0
06 Sep 2022
Identifying Out-of-Distribution Samples in Real-Time for Safety-Critical
  2D Object Detection with Margin Entropy Loss
Identifying Out-of-Distribution Samples in Real-Time for Safety-Critical 2D Object Detection with Margin Entropy Loss
Yannik Blei
Nicolas Jourdan
Nils Gählert
OODD
24
3
0
01 Sep 2022
Unifying Evaluation of Machine Learning Safety Monitors
Unifying Evaluation of Machine Learning Safety Monitors
Joris Guérin
Raul Sena Ferreira
Kevin Delmas
Jérémie Guiochet
42
12
0
31 Aug 2022
Constraining Representations Yields Models That Know What They Don't
  Know
Constraining Representations Yields Models That Know What They Don't Know
João Monteiro
Pau Rodríguez López
Pierre-Andre Noel
I. Laradji
David Vazquez
AAML
46
0
0
30 Aug 2022
Probing Contextual Diversity for Dense Out-of-Distribution Detection
Probing Contextual Diversity for Dense Out-of-Distribution Detection
Silvio Galesso
M. A. Bravo
Mehdi Naouar
Thomas Brox
23
4
0
30 Aug 2022
Deep Open-Set Recognition for Silicon Wafer Production Monitoring
Deep Open-Set Recognition for Silicon Wafer Production Monitoring
Luca Frittoli
Diego Carrera
B. Rossi
P. Fragneto
Giacomo Boracchi
BDL
24
19
0
30 Aug 2022
SAFE: Sensitivity-Aware Features for Out-of-Distribution Object
  Detection
SAFE: Sensitivity-Aware Features for Out-of-Distribution Object Detection
Samuel Wilson
Tobias Fischer
Feras Dayoub
Dimity Miller
Niko Sünderhauf
OODD
31
29
0
29 Aug 2022
Open-Set Semi-Supervised Object Detection
Open-Set Semi-Supervised Object Detection
Yen-Cheng Liu
Chih-Yao Ma
Xiaoliang Dai
Junjiao Tian
Peter Vajda
Zijian He
Z. Kira
26
22
0
29 Aug 2022
Towards In-distribution Compatibility in Out-of-distribution Detection
Towards In-distribution Compatibility in Out-of-distribution Detection
Boxi Wu
Jie Jiang
Haidong Ren
Zifan Du
Wenxiao Wang
Zhifeng Li
Deng Cai
Xiaofei He
Binbin Lin
Wei Liu
OODD
29
1
0
29 Aug 2022
Previous
123...678...141516
Next