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1705.08500
Cited By
Selective Classification for Deep Neural Networks
23 May 2017
Yonatan Geifman
Ran El-Yaniv
CVBM
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Papers citing
"Selective Classification for Deep Neural Networks"
50 / 321 papers shown
Title
On the Value of ML Models
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Role of Human-AI Interaction in Selective Prediction
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A Unified Benchmark for the Unknown Detection Capability of Deep Neural Networks
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Anomaly-Aware Semantic Segmentation by Leveraging Synthetic-Unknown Data
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Tung-I Chen
Hung-Ting Su
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Leveraging Selective Prediction for Reliable Image Geolocation
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Giorgos Kordopatis-Zilos
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Selective Regression Under Fairness Criteria
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28 Oct 2021
Trading via Selective Classification
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Rahul Savani
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Disrupting Deep Uncertainty Estimation Without Harming Accuracy
Ido Galil
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AAML
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26 Oct 2021
Evolutionary Optimization of High-Coverage Budgeted Classifiers
Nolan H. Hamilton
Errin W. Fulp
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25 Oct 2021
Evaluating and Improving Interactions with Hazy Oracles
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19 Oct 2021
Learning to Predict Trustworthiness with Steep Slope Loss
Yan Luo
Yongkang Wong
Mohan S. Kankanhalli
Qi Zhao
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30 Sep 2021
Uncertainty-Aware Training for Cardiac Resynchronisation Therapy Response Prediction
Tareen Dawood
Chen Chen
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C. Rinaldi
Esther Puyol-Antón
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NGC: A Unified Framework for Learning with Open-World Noisy Data
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Tong Wei
Jianwen Jiang
Chaojie Mao
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FSNet: A Failure Detection Framework for Semantic Segmentation
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Niko Sünderhauf
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Feras Dayoub
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A Survey on Open Set Recognition
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Machine Learning with a Reject Option: A survey
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Lorenzo Perini
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23 Jul 2021
RISAN: Robust Instance Specific Abstention Network
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Kulin Shah
Naresh Manwani
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Interviewer-Candidate Role Play: Towards Developing Real-World NLP Systems
Neeraj Varshney
Swaroop Mishra
Chitta Baral
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01 Jul 2021
Test Sample Accuracy Scales with Training Sample Density in Neural Networks
Xu Ji
Razvan Pascanu
Devon Hjelm
Balaji Lakshminarayanan
Andrea Vedaldi
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Taxonomy of Machine Learning Safety: A Survey and Primer
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Haotao Wang
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Knowing the No-match: Entity Alignment with Dangling Cases
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Muhao Chen
Wei Hu
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Improving Compositionality of Neural Networks by Decoding Representations to Inputs
Mike Wu
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Two Coupled Rejection Metrics Can Tell Adversarial Examples Apart
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Meta-Cal: Well-controlled Post-hoc Calibration by Ranking
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Selective Probabilistic Classifier Based on Hypothesis Testing
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Exploring Uncertainty in Deep Learning for Construction of Prediction Intervals
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Customizable Reference Runtime Monitoring of Neural Networks using Resolution Boxes
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Yliès Falcone
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25 Apr 2021
Consistent Accelerated Inference via Confident Adaptive Transformers
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Adam Fisch
Tommi Jaakkola
Regina Barzilay
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Uncertainty Surrogates for Deep Learning
R. Achanta
Natasa Tagasovska
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Robust Adversarial Classification via Abstaining
Abed AlRahman Al Makdah
Vaibhav Katewa
Fabio Pasqualetti
21
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SSD: A Unified Framework for Self-Supervised Outlier Detection
Vikash Sehwag
M. Chiang
Prateek Mittal
OODD
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CheXbreak: Misclassification Identification for Deep Learning Models Interpreting Chest X-rays
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Andy Kim
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J. Long
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SCRIB: Set-classifier with Class-specific Risk Bounds for Blackbox Models
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Semi-Supervised Federated Peer Learning for Skin Lesion Classification
T. Bdair
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Optimal strategies for reject option classifiers
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11
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29 Jan 2021
Self-Adaptive Training: Bridging Supervised and Self-Supervised Learning
Lang Huang
Chaoning Zhang
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36
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21 Jan 2021
Run-Time Monitoring of Machine Learning for Robotic Perception: A Survey of Emerging Trends
Q. Rahman
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OOD
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05 Jan 2021
WILDS: A Benchmark of in-the-Wild Distribution Shifts
Pang Wei Koh
Shiori Sagawa
Henrik Marklund
Sang Michael Xie
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Emma Pierson
Sergey Levine
Chelsea Finn
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Learning how to approve updates to machine learning algorithms in non-stationary settings
Jean Feng
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Achieving Adversarial Robustness Requires An Active Teacher
Chao Ma
Lexing Ying
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Confidence Estimation via Auxiliary Models
Charles Corbière
Nicolas Thome
A. Saporta
Tuan-Hung Vu
Matthieu Cord
P. Pérez
TPM
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Leveraging Uncertainty from Deep Learning for Trustworthy Materials Discovery Workflows
Jize Zhang
B. Kailkhura
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OOD
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Trust but Verify: Assigning Prediction Credibility by Counterfactual Constrained Learning
Luiz F. O. Chamon
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Automatic segmentation with detection of local segmentation failures in cardiac MRI
Jörg Sander
B. D. de Vos
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25
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Selective Classification Can Magnify Disparities Across Groups
Erik Jones
Shiori Sagawa
Pang Wei Koh
Ananya Kumar
Percy Liang
39
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0
27 Oct 2020
ATRO: Adversarial Training with a Rejection Option
Masahiro Kato
Zhenghang Cui
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31
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Classification with Rejection Based on Cost-sensitive Classification
Nontawat Charoenphakdee
Zhenghang Cui
Yivan Zhang
Masashi Sugiyama
80
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22 Oct 2020
Selective Classification via One-Sided Prediction
Aditya Gangrade
Anil Kag
Venkatesh Saligrama
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23
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0
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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
Tzvika Geft
Aviv Tamar
Ken Goldberg
Dan Halperin
7
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20 Sep 2020
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