Selective Classification for Deep Neural Networks

23 May 2017

Papers citing "Selective Classification for Deep Neural Networks"

50 / 321 papers shown

Title
Who Should Predict? Exact Algorithms For Learning to Defer to Humans Hussein Mozannar Hunter Lang Dennis L. Wei P. Sattigeri Subhro Das David Sontag 32 43 0 15 Jan 2023
Benchmarking common uncertainty estimation methods with histopathological images under domain shift and label noise H. A. Mehrtens Alexander Kurz Tabea-Clara Bucher T. Brinker OOD UQCV 205 11 0 03 Jan 2023
Selective classification using a robust meta-learning approach Nishant Jain Karthikeyan Shanmugam Pradeep Shenoy OOD 31 2 0 12 Dec 2022
Contrastive Novelty-Augmented Learning: Anticipating Outliers with Large Language Models Albert Xu Xiang Ren Robin Jia OODD 35 2 0 28 Nov 2022
A Call to Reflect on Evaluation Practices for Failure Detection in Image Classification Paul F. Jaeger Carsten T. Lüth Lukas Klein Till J. Bungert UQCV 30 35 0 28 Nov 2022
Solving math word problems with process- and outcome-based feedback J. Uesato Nate Kushman Ramana Kumar Francis Song Noah Y. Siegel L. Wang Antonia Creswell G. Irving I. Higgins FaML ReLM AIMat LRM 47 296 0 25 Nov 2022
Promises and Pitfalls of Threshold-based Auto-labeling Harit Vishwakarma Heguang Lin Frederic Sala Ramya Korlakai Vinayak 39 9 0 22 Nov 2022
Layer-Stack Temperature Scaling Amr Khalifa Michael C. Mozer Hanie Sedghi Behnam Neyshabur Ibrahim M. Alabdulmohsin 83 2 0 18 Nov 2022
Uncertainty Quantification for Rule-Based Models Yusik Kim UQCV 17 0 0 03 Nov 2022
Window-Based Distribution Shift Detection for Deep Neural Networks Guy Bar-Shalom Yonatan Geifman Ran El-Yaniv 28 4 0 19 Oct 2022
AUC-based Selective Classification Andrea Pugnana Salvatore Ruggieri 29 9 0 19 Oct 2022
MaskTune: Mitigating Spurious Correlations by Forcing to Explore Saeid Asgari Taghanaki Aliasghar Khani Fereshte Khani A. Gholami Linh-Tam Tran Ali Mahdavi-Amiri Ghassan Hamarneh AAML 46 45 0 30 Sep 2022
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
Rethinking and Recomputing the Value of Machine Learning Models Burcu Sayin Fabio Casati Andrea Passerini Andrea Passerini Xinyue Chen HAI 18 0 0 30 Sep 2022
Improving alignment of dialogue agents via targeted human judgements Amelia Glaese Nat McAleese Maja Trkebacz John Aslanides Vlad Firoiu ... John F. J. Mellor Demis Hassabis Koray Kavukcuoglu Lisa Anne Hendricks G. Irving ALM AAML 239 507 0 28 Sep 2022
Interpretable Selective Learning in Credit Risk Dangxing Chen Weicheng Ye Jiahui Ye FaML 35 15 0 21 Sep 2022
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
Learning When to Say "I Don't Know" Nicholas Kashani Motlagh Jim Davis Tim Anderson Jeremy Gwinnup 26 1 0 11 Sep 2022
Calibrated Selective Classification Adam Fisch Tommi Jaakkola Regina Barzilay 34 17 0 25 Aug 2022
Partial Matrix Completion Elad Hazan Adam Tauman Kalai Varun Kanade Clara Mohri Y. Jennifer Sun 21 2 0 25 Aug 2022
A Case for Rejection in Low Resource ML Deployment J. White Pulkit Madaan Nikhil Shenoy Apoorv Agnihotri Makkunda Sharma Jigar Doshi OffRL 16 3 0 12 Aug 2022
Domain Adaptation under Open Set Label Shift Saurabh Garg Sivaraman Balakrishnan Zachary Chase Lipton OOD VLM 27 41 0 26 Jul 2022
Sample Efficient Learning of Predictors that Complement Humans Mohammad-Amin Charusaie Hussein Mozannar David Sontag Samira Samadi 46 33 0 19 Jul 2022
Augmenting Softmax Information for Selective Classification with Out-of-Distribution Data Guoxuan Xia C. Bouganis OODD 16 27 0 15 Jul 2022
Three Applications of Conformal Prediction for Rating Breast Density in Mammography Charles Lu Ken Chang Praveer Singh Jayashree Kalpathy-Cramer OOD AI4CE 47 8 0 23 Jun 2022
Towards Better Selective Classification Leo Feng Mohamed Osama Ahmed Hossein Hajimirsadeghi A. Abdi 24 22 0 17 Jun 2022
Epistemic Deep Learning Shireen Kudukkil Manchingal Fabio Cuzzolin UQCV BDL EDL FedML UD 25 6 0 15 Jun 2022
Confidence Score for Source-Free Unsupervised Domain Adaptation Jonghyun Lee Dahuin Jung Junho Yim Sung-Hoon Yoon TTA 28 71 0 14 Jun 2022
COLD Fusion: Calibrated and Ordinal Latent Distribution Fusion for Uncertainty-Aware Multimodal Emotion Recognition M. Tellamekala Shahin Amiriparian Björn W. Schuller Elisabeth André T. Giesbrecht M. Valstar 31 25 0 12 Jun 2022
Which models are innately best at uncertainty estimation? Ido Galil Mohammed Dabbah Ran El-Yaniv UQCV 34 5 0 05 Jun 2022
Selective Classification Via Neural Network Training Dynamics Stephan Rabanser Anvith Thudi Kimia Hamidieh Adam Dziedzic Nicolas Papernot 29 21 0 26 May 2022
Offline Policy Comparison with Confidence: Benchmarks and Baselines Anurag Koul Mariano Phielipp Alan Fern OffRL 28 0 0 22 May 2022
Budgeted Classification with Rejection: An Evolutionary Method with Multiple Objectives Nolan H. Hamilton Errin W. Fulp 16 1 0 01 May 2022
Reliable Visual Question Answering: Abstain Rather Than Answer Incorrectly Spencer Whitehead Suzanne Petryk Vedaad Shakib Joseph E. Gonzalez Trevor Darrell Anna Rohrbach Marcus Rohrbach 36 54 0 28 Apr 2022
Understanding the Impact of Edge Cases from Occluded Pedestrians for ML Systems Jens Henriksson C. Berger Stig Ursing 24 3 0 26 Apr 2022
Reduction of detection limit and quantification uncertainty due to interferent by neural classification with abstention A. Hagen K. Jarman Jesse D. Ward G. Eiden C. Barinaga E. Mace C. Aalseth Anthony J. Carado 11 0 0 22 Apr 2022
Saga: A Platform for Continuous Construction and Serving of Knowledge At Scale Ihab F. Ilyas Theodoros Rekatsinas V. Konda Jeffrey Pound Xiaoguang Qi Mohamed A. Soliman 27 27 0 15 Apr 2022
Efficient, Uncertainty-based Moderation of Neural Networks Text Classifiers J. S. Andersen W. Maalej 22 9 0 04 Apr 2022
Teaching language models to support answers with verified quotes Jacob Menick Maja Trebacz Vladimir Mikulik John Aslanides Francis Song ... Mia Glaese Susannah Young Lucy Campbell-Gillingham G. Irving Nat McAleese ELM RALM 251 259 0 21 Mar 2022
Reasoning over Public and Private Data in Retrieval-Based Systems Simran Arora Patrick Lewis Angela Fan Jacob Kahn Christopher Ré 30 23 0 14 Mar 2022
False membership rate control in mixture models Ariane Marandon Tabea Rebafka Étienne Roquain Nataliya Sokolovska 33 0 0 04 Mar 2022
Investigating Selective Prediction Approaches Across Several Tasks in IID, OOD, and Adversarial Settings Neeraj Varshney Swaroop Mishra Chitta Baral 27 55 0 01 Mar 2022
Deconstructing Distributions: A Pointwise Framework of Learning Gal Kaplun Nikhil Ghosh Saurabh Garg Boaz Barak Preetum Nakkiran OOD 38 21 0 20 Feb 2022
Conformal Prediction Sets with Limited False Positives Adam Fisch Tal Schuster Tommi Jaakkola Regina Barzilay 26 23 0 15 Feb 2022
Fairness Indicators for Systematic Assessments of Visual Feature Extractors Priya Goyal Adriana Romero Soriano C. Hazirbas Levent Sagun Nicolas Usunier EGVM 27 31 0 15 Feb 2022
Predicting Out-of-Distribution Error with the Projection Norm Yaodong Yu Zitong Yang Alexander Wei Yi Ma Jacob Steinhardt OODD 25 43 0 11 Feb 2022
CMW-Net: Learning a Class-Aware Sample Weighting Mapping for Robust Deep Learning Jun Shu Xiang Yuan Deyu Meng Zongben Xu NoLa 27 33 0 11 Feb 2022
A Comprehensive Survey on Federated Learning: Concept and Applications Dhurgham Hassan Mahlool Mohammed Hamzah Abed FedML 23 22 0 23 Jan 2022
Leveraging Unlabeled Data to Predict Out-of-Distribution Performance Saurabh Garg Sivaraman Balakrishnan Zachary Chase Lipton Behnam Neyshabur Hanie Sedghi OODD OOD 50 125 0 11 Jan 2022
Anomaly Discovery in Semantic Segmentation via Distillation Comparison Networks Huan Zhou Shi Gong Yu Zhou Zengqiang Zheng Ronghua Liu Xiang Bai 31 1 0 18 Dec 2021