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SelectiveNet: A Deep Neural Network with an Integrated Reject Option

26 January 2019

Papers citing "SelectiveNet: A Deep Neural Network with an Integrated Reject Option"

50 / 180 papers shown

Title
Augmenting Softmax Information for Selective Classification with Out-of-Distribution Data Guoxuan Xia C. Bouganis OODD 66 29 0 15 Jul 2022
RegMixup: Mixup as a Regularizer Can Surprisingly Improve Accuracy and Out Distribution Robustness Francesco Pinto Harry Yang Ser-Nam Lim Philip Torr P. Dokania UQCV 97 36 0 29 Jun 2022
Towards Better Selective Classification Leo Feng Mohamed Osama Ahmed Hossein Hajimirsadeghi A. Abdi 92 23 0 17 Jun 2022
Which models are innately best at uncertainty estimation? Ido Galil Mohammed Dabbah Ran El-Yaniv UQCV 79 5 0 05 Jun 2022
Open-environment Machine Learning Zhi Zhou VLM 119 141 0 01 Jun 2022
Selective Prediction via Training Dynamics Stephan Rabanser Anvith Thudi Kimia Hamidieh Adam Dziedzic Nicolas Papernot Akram Bin Sediq Hamza Sokun Nicolas Papernot 114 22 0 26 May 2022
Offline Policy Comparison with Confidence: Benchmarks and Baselines Anurag Koul Mariano Phielipp Alan Fern OffRL 72 0 0 22 May 2022
Mitigating Neural Network Overconfidence with Logit Normalization Hongxin Wei Renchunzi Xie Hao-Ran Cheng Lei Feng Bo An Yixuan Li OODD 231 288 0 19 May 2022
Evaluating Generalizability of Fine-Tuned Models for Fake News Detection Abhijit Suprem C. Pu 72 4 0 15 May 2022
Training Uncertainty-Aware Classifiers with Conformalized Deep Learning Bat-Sheva Einbinder Yaniv Romano Matteo Sesia Yanfei Zhou UQCV 146 54 0 12 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 103 56 0 28 Apr 2022
Out-of-Distribution Detection with Deep Nearest Neighbors Yiyou Sun Yifei Ming Xiaojin Zhu Yixuan Li OODD 216 536 0 13 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 316 267 0 21 Mar 2022
Concept-based Explanations for Out-Of-Distribution Detectors Jihye Choi Jayaram Raghuram Ryan Feng Jiefeng Chen S. Jha Atul Prakash OODD 38 12 0 04 Mar 2022
Investigating Selective Prediction Approaches Across Several Tasks in IID, OOD, and Adversarial Settings Neeraj Varshney Swaroop Mishra Chitta Baral 105 56 0 01 Mar 2022
Confidence Threshold Neural Diving Taehyun Yoon 95 6 0 15 Feb 2022
CMW-Net: Learning a Class-Aware Sample Weighting Mapping for Robust Deep Learning Jun Shu Xiang Yuan Deyu Meng Zongben Xu NoLa 92 34 0 11 Feb 2022
Nonparametric Uncertainty Quantification for Single Deterministic Neural Network Nikita Kotelevskii A. Artemenkov Kirill Fedyanin Fedor Noskov Alexander Fishkov Artem Shelmanov Artem Vazhentsev Aleksandr Petiushko Maxim Panov UQCV BDL 106 30 0 07 Feb 2022
On the predictability in reversible steganography Ching-Chun Chang Xu Wang Sisheng Chen Hitoshi Kiya Isao Echizen 31 2 0 05 Feb 2022
Provable Guarantees for Understanding Out-of-distribution Detection Peyman Morteza Yixuan Li OODD 112 95 0 01 Dec 2021
Leveraging Selective Prediction for Reliable Image Geolocation Apostolos Panagiotopoulos Giorgos Kordopatis-Zilos Symeon Papadopoulos 20 3 0 23 Nov 2021
DICE: Leveraging Sparsification for Out-of-Distribution Detection Yiyou Sun Yixuan Li OODD 162 163 0 18 Nov 2021
Selective Regression Under Fairness Criteria Abhin Shah Yuheng Bu Joshua K. Lee Subhro Das Yikang Shen P. Sattigeri G. Wornell 114 28 0 28 Oct 2021
Trading via Selective Classification Nestoras Chalkidis Rahul Savani 24 2 0 28 Oct 2021
Online Selective Classification with Limited Feedback Aditya Gangrade Anil Kag Ashok Cutkosky Venkatesh Saligrama 87 5 0 27 Oct 2021
Disrupting Deep Uncertainty Estimation Without Harming Accuracy Ido Galil Ran El-Yaniv AAML 48 17 0 26 Oct 2021
Evaluating and Improving Interactions with Hazy Oracles Stephan J. Lemmer Jason J. Corso 35 2 0 19 Oct 2021
Reinforcement Learning Under Algorithmic Triage Eleni Straitouri Adish Singla Vahid Balazadeh Meresht Manuel Gomez Rodriguez OffRL 79 16 0 23 Sep 2021
Machine Learning with a Reject Option: A survey Kilian Hendrickx Lorenzo Perini Dries Van der Plas Wannes Meert Jesse Davis MU 96 129 0 23 Jul 2021
On the Importance of Regularisation & Auxiliary Information in OOD Detection John Mitros Brian Mac Namee 50 2 0 15 Jul 2021
Detect and Defense Against Adversarial Examples in Deep Learning using Natural Scene Statistics and Adaptive Denoising Anouar Kherchouche Sid Ahmed Fezza W. Hamidouche AAML 67 9 0 12 Jul 2021
RISAN: Robust Instance Specific Abstention Network B. Kalra Kulin Shah Naresh Manwani 22 2 0 07 Jul 2021
Taxonomy of Machine Learning Safety: A Survey and Primer Sina Mohseni Haotao Wang Zhiding Yu Chaowei Xiao Zhangyang Wang J. Yadawa 91 32 0 09 Jun 2021
Improving Compositionality of Neural Networks by Decoding Representations to Inputs Mike Wu Noah D. Goodman Stefano Ermon AI4CE 56 3 0 01 Jun 2021
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 45 18 0 31 May 2021
MOS: Towards Scaling Out-of-distribution Detection for Large Semantic Space Rui Huang Yixuan Li OODD 99 249 0 05 May 2021
Adversarial Example Detection for DNN Models: A Review and Experimental Comparison Ahmed Aldahdooh W. Hamidouche Sid Ahmed Fezza Olivier Déforges AAML 233 128 0 01 May 2021
Reducing Risk and Uncertainty of Deep Neural Networks on Diagnosing COVID-19 Infection Krishanu Sarker Sharbani Pandit A. Sarker S. Belkasim Shihao Ji UQCV 11 1 0 28 Apr 2021
Controlled abstention neural networks for identifying skillful predictions for classification problems E. Barnes R. Barnes 77 8 0 16 Apr 2021
Controlled abstention neural networks for identifying skillful predictions for regression problems E. Barnes R. Barnes 112 22 0 16 Apr 2021
CheXbreak: Misclassification Identification for Deep Learning Models Interpreting Chest X-rays E. Chen Andy Kim R. Krishnan J. Long A. Ng Pranav Rajpurkar 51 2 0 18 Mar 2021
Differentiable Learning Under Triage Nastaran Okati A. De Manuel Gomez Rodriguez 112 64 0 16 Mar 2021
Revisiting Model's Uncertainty and Confidences for Adversarial Example Detection Ahmed Aldahdooh W. Hamidouche Olivier Déforges AAML 152 29 0 09 Mar 2021
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 63 11 0 05 Mar 2021
Self-Adaptive Training: Bridging Supervised and Self-Supervised Learning Lang Huang Chaoning Zhang Hongyang R. Zhang SSL 101 25 0 21 Jan 2021
Solving Mixed Integer Programs Using Neural Networks Vinod Nair Sergey Bartunov Felix Gimeno Ingrid von Glehn Pawel Lichocki ... Pushmeet Kohli Ira Ktena Yujia Li Oriol Vinyals Yori Zwols 216 251 0 23 Dec 2020
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 319 1,452 0 14 Dec 2020
Confidence Estimation via Auxiliary Models Charles Corbière Nicolas Thome A. Saporta Tuan-Hung Vu Matthieu Cord P. Pérez TPM 154 50 0 11 Dec 2020
Selective Classification Can Magnify Disparities Across Groups Erik Jones Shiori Sagawa Pang Wei Koh Ananya Kumar Percy Liang 115 47 0 27 Oct 2020
ATRO: Adversarial Training with a Rejection Option Masahiro Kato Zhenghang Cui Yoshihiro Fukuhara AAML 47 11 0 24 Oct 2020