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Selective Classification for Deep Neural Networks

Selective Classification for Deep Neural Networks

23 May 2017
Yonatan Geifman
Ran El-Yaniv
    CVBM
ArXivPDFHTML

Papers citing "Selective Classification for Deep Neural Networks"

50 / 321 papers shown
Title
On the Value of ML Models
On the Value of ML Models
Fabio Casati
Pierre-Andre Noel
Jie Yang
24
7
0
13 Dec 2021
Role of Human-AI Interaction in Selective Prediction
Role of Human-AI Interaction in Selective Prediction
Elizabeth Bondi
Raphael Köster
Hannah R. Sheahan
Martin Chadwick
Yoram Bachrach
taylan. cemgil
Ulrich Paquet
Krishnamurthy Dvijotham
19
35
0
13 Dec 2021
A Unified Benchmark for the Unknown Detection Capability of Deep Neural
  Networks
A Unified Benchmark for the Unknown Detection Capability of Deep Neural Networks
Jihyo Kim
Jiin Koo
Sangheum Hwang
UQCV
16
19
0
01 Dec 2021
Anomaly-Aware Semantic Segmentation by Leveraging Synthetic-Unknown Data
Anomaly-Aware Semantic Segmentation by Leveraging Synthetic-Unknown Data
Guansong Lu
Yueh-Cheng Liu
Tung-I Chen
Hung-Ting Su
Tsung-Han Wu
Winston H. Hsu
UQCV
10
0
0
29 Nov 2021
Leveraging Selective Prediction for Reliable Image Geolocation
Leveraging Selective Prediction for Reliable Image Geolocation
Apostolos Panagiotopoulos
Giorgos Kordopatis-Zilos
Symeon Papadopoulos
10
3
0
23 Nov 2021
Selective Regression Under Fairness Criteria
Selective Regression Under Fairness Criteria
Abhin Shah
Yuheng Bu
Joshua K. Lee
Subhro Das
Yikang Shen
P. Sattigeri
G. Wornell
27
27
0
28 Oct 2021
Trading via Selective Classification
Trading via Selective Classification
Nestoras Chalkidis
Rahul Savani
7
2
0
28 Oct 2021
Disrupting Deep Uncertainty Estimation Without Harming Accuracy
Disrupting Deep Uncertainty Estimation Without Harming Accuracy
Ido Galil
Ran El-Yaniv
AAML
24
15
0
26 Oct 2021
Evolutionary Optimization of High-Coverage Budgeted Classifiers
Evolutionary Optimization of High-Coverage Budgeted Classifiers
Nolan H. Hamilton
Errin W. Fulp
22
0
0
25 Oct 2021
Evaluating and Improving Interactions with Hazy Oracles
Evaluating and Improving Interactions with Hazy Oracles
Stephan J. Lemmer
Jason J. Corso
11
2
0
19 Oct 2021
Learning to Predict Trustworthiness with Steep Slope Loss
Learning to Predict Trustworthiness with Steep Slope Loss
Yan Luo
Yongkang Wong
Mohan S. Kankanhalli
Qi Zhao
19
12
0
30 Sep 2021
Uncertainty-Aware Training for Cardiac Resynchronisation Therapy
  Response Prediction
Uncertainty-Aware Training for Cardiac Resynchronisation Therapy Response Prediction
Tareen Dawood
Chen Chen
R. Andlauer
B. Sidhu
B. Ruijsink
...
Vishal S. Mehta
C. Rinaldi
Esther Puyol-Antón
Reza Razavi
A. King
15
2
0
22 Sep 2021
NGC: A Unified Framework for Learning with Open-World Noisy Data
NGC: A Unified Framework for Learning with Open-World Noisy Data
Zhi-Fan Wu
Tong Wei
Jianwen Jiang
Chaojie Mao
Mingqian Tang
Yu-Feng Li
11
81
0
25 Aug 2021
FSNet: A Failure Detection Framework for Semantic Segmentation
FSNet: A Failure Detection Framework for Semantic Segmentation
Q. Rahman
Niko Sünderhauf
Peter Corke
Feras Dayoub
UQCV
SSeg
40
20
0
19 Aug 2021
A Survey on Open Set Recognition
A Survey on Open Set Recognition
Atefeh Mahdavi
Marco M. Carvalho
BDL
29
35
0
18 Aug 2021
Machine Learning with a Reject Option: A survey
Machine Learning with a Reject Option: A survey
Kilian Hendrickx
Lorenzo Perini
Dries Van der Plas
Wannes Meert
Jesse Davis
MU
35
121
0
23 Jul 2021
RISAN: Robust Instance Specific Abstention Network
RISAN: Robust Instance Specific Abstention Network
B. Kalra
Kulin Shah
Naresh Manwani
20
2
0
07 Jul 2021
Interviewer-Candidate Role Play: Towards Developing Real-World NLP
  Systems
Interviewer-Candidate Role Play: Towards Developing Real-World NLP Systems
Neeraj Varshney
Swaroop Mishra
Chitta Baral
14
0
0
01 Jul 2021
Test Sample Accuracy Scales with Training Sample Density in Neural
  Networks
Test Sample Accuracy Scales with Training Sample Density in Neural Networks
Xu Ji
Razvan Pascanu
Devon Hjelm
Balaji Lakshminarayanan
Andrea Vedaldi
36
7
0
15 Jun 2021
Taxonomy of Machine Learning Safety: A Survey and Primer
Taxonomy of Machine Learning Safety: A Survey and Primer
Sina Mohseni
Haotao Wang
Zhiding Yu
Chaowei Xiao
Zhangyang Wang
J. Yadawa
31
31
0
09 Jun 2021
Knowing the No-match: Entity Alignment with Dangling Cases
Knowing the No-match: Entity Alignment with Dangling Cases
Zequn Sun
Muhao Chen
Wei Hu
27
33
0
04 Jun 2021
Improving Compositionality of Neural Networks by Decoding
  Representations to Inputs
Improving Compositionality of Neural Networks by Decoding Representations to Inputs
Mike Wu
Noah D. Goodman
Stefano Ermon
AI4CE
38
3
0
01 Jun 2021
Two Coupled Rejection Metrics Can Tell Adversarial Examples Apart
Two Coupled Rejection Metrics Can Tell Adversarial Examples Apart
Tianyu Pang
Huishuai Zhang
Di He
Yinpeng Dong
Hang Su
Wei Chen
Jun Zhu
Tie-Yan Liu
AAML
8
16
0
31 May 2021
Meta-Cal: Well-controlled Post-hoc Calibration by Ranking
Meta-Cal: Well-controlled Post-hoc Calibration by Ranking
Xingchen Ma
Matthew B. Blaschko
28
34
0
10 May 2021
Selective Probabilistic Classifier Based on Hypothesis Testing
Selective Probabilistic Classifier Based on Hypothesis Testing
Saeed Bakhshi Germi
Esa Rahtu
H. Huttunen
32
1
0
09 May 2021
Exploring Uncertainty in Deep Learning for Construction of Prediction
  Intervals
Exploring Uncertainty in Deep Learning for Construction of Prediction Intervals
Yuandu Lai
Yucheng Shi
Yahong Han
Yunfeng Shao
Meiyu Qi
Bingshuai Li
UQCV
41
15
0
27 Apr 2021
Customizable Reference Runtime Monitoring of Neural Networks using
  Resolution Boxes
Customizable Reference Runtime Monitoring of Neural Networks using Resolution Boxes
Changshun Wu
Yliès Falcone
Saddek Bensalem
55
10
0
25 Apr 2021
Consistent Accelerated Inference via Confident Adaptive Transformers
Consistent Accelerated Inference via Confident Adaptive Transformers
Tal Schuster
Adam Fisch
Tommi Jaakkola
Regina Barzilay
AI4TS
200
69
0
18 Apr 2021
Uncertainty Surrogates for Deep Learning
Uncertainty Surrogates for Deep Learning
R. Achanta
Natasa Tagasovska
OOD
UQCV
29
0
0
16 Apr 2021
Robust Adversarial Classification via Abstaining
Robust Adversarial Classification via Abstaining
Abed AlRahman Al Makdah
Vaibhav Katewa
Fabio Pasqualetti
21
0
0
06 Apr 2021
SSD: A Unified Framework for Self-Supervised Outlier Detection
SSD: A Unified Framework for Self-Supervised Outlier Detection
Vikash Sehwag
M. Chiang
Prateek Mittal
OODD
31
332
0
22 Mar 2021
CheXbreak: Misclassification Identification for Deep Learning Models
  Interpreting Chest X-rays
CheXbreak: Misclassification Identification for Deep Learning Models Interpreting Chest X-rays
E. Chen
Andy Kim
R. Krishnan
J. Long
A. Ng
Pranav Rajpurkar
26
2
0
18 Mar 2021
SCRIB: Set-classifier with Class-specific Risk Bounds for Blackbox
  Models
SCRIB: Set-classifier with Class-specific Risk Bounds for Blackbox Models
Zhen Lin
Cao Xiao
Lucas Glass
M. P. M. Brandon Westover
Jimeng Sun
BDL
29
11
0
05 Mar 2021
Semi-Supervised Federated Peer Learning for Skin Lesion Classification
Semi-Supervised Federated Peer Learning for Skin Lesion Classification
T. Bdair
Nassir Navab
Shadi Albarqouni
FedML
24
13
0
05 Mar 2021
Optimal strategies for reject option classifiers
Optimal strategies for reject option classifiers
V. Franc
D. Prusa
V. Voráček
11
36
0
29 Jan 2021
Self-Adaptive Training: Bridging Supervised and Self-Supervised Learning
Self-Adaptive Training: Bridging Supervised and Self-Supervised Learning
Lang Huang
Chaoning Zhang
Hongyang R. Zhang
SSL
36
24
0
21 Jan 2021
Run-Time Monitoring of Machine Learning for Robotic Perception: A Survey
  of Emerging Trends
Run-Time Monitoring of Machine Learning for Robotic Perception: A Survey of Emerging Trends
Q. Rahman
Peter Corke
Feras Dayoub
OOD
44
51
0
05 Jan 2021
WILDS: A Benchmark of in-the-Wild Distribution Shifts
WILDS: A Benchmark of in-the-Wild Distribution Shifts
Pang Wei Koh
Shiori Sagawa
Henrik Marklund
Sang Michael Xie
Marvin Zhang
...
A. Kundaje
Emma Pierson
Sergey Levine
Chelsea Finn
Percy Liang
OOD
106
1,386
0
14 Dec 2020
Learning how to approve updates to machine learning algorithms in
  non-stationary settings
Learning how to approve updates to machine learning algorithms in non-stationary settings
Jean Feng
16
1
0
14 Dec 2020
Achieving Adversarial Robustness Requires An Active Teacher
Achieving Adversarial Robustness Requires An Active Teacher
Chao Ma
Lexing Ying
27
1
0
14 Dec 2020
Confidence Estimation via Auxiliary Models
Confidence Estimation via Auxiliary Models
Charles Corbière
Nicolas Thome
A. Saporta
Tuan-Hung Vu
Matthieu Cord
P. Pérez
TPM
29
47
0
11 Dec 2020
Leveraging Uncertainty from Deep Learning for Trustworthy Materials
  Discovery Workflows
Leveraging Uncertainty from Deep Learning for Trustworthy Materials Discovery Workflows
Jize Zhang
B. Kailkhura
T. Y. Han
OOD
14
13
0
02 Dec 2020
Trust but Verify: Assigning Prediction Credibility by Counterfactual
  Constrained Learning
Trust but Verify: Assigning Prediction Credibility by Counterfactual Constrained Learning
Luiz F. O. Chamon
Santiago Paternain
Alejandro Ribeiro
AAML
8
1
0
24 Nov 2020
Automatic segmentation with detection of local segmentation failures in
  cardiac MRI
Automatic segmentation with detection of local segmentation failures in cardiac MRI
Jörg Sander
B. D. de Vos
Ivana Išgum
25
50
0
13 Nov 2020
Selective Classification Can Magnify Disparities Across Groups
Selective Classification Can Magnify Disparities Across Groups
Erik Jones
Shiori Sagawa
Pang Wei Koh
Ananya Kumar
Percy Liang
39
46
0
27 Oct 2020
ATRO: Adversarial Training with a Rejection Option
ATRO: Adversarial Training with a Rejection Option
Masahiro Kato
Zhenghang Cui
Yoshihiro Fukuhara
AAML
31
11
0
24 Oct 2020
Classification with Rejection Based on Cost-sensitive Classification
Classification with Rejection Based on Cost-sensitive Classification
Nontawat Charoenphakdee
Zhenghang Cui
Yivan Zhang
Masashi Sugiyama
80
65
0
22 Oct 2020
Selective Classification via One-Sided Prediction
Selective Classification via One-Sided Prediction
Aditya Gangrade
Anil Kag
Venkatesh Saligrama
UQCV
23
35
0
15 Oct 2020
A Unifying Review of Deep and Shallow Anomaly Detection
A Unifying Review of Deep and Shallow Anomaly Detection
Lukas Ruff
Jacob R. Kauffmann
Robert A. Vandermeulen
G. Montavon
Wojciech Samek
Marius Kloft
Thomas G. Dietterich
Klaus-Robert Muller
UQCV
27
782
0
24 Sep 2020
Robust 2D Assembly Sequencing via Geometric Planning with Learned Scores
Robust 2D Assembly Sequencing via Geometric Planning with Learned Scores
Tzvika Geft
Aviv Tamar
Ken Goldberg
Dan Halperin
7
8
0
20 Sep 2020
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