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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
Regression with Cost-based Rejection Xin Cheng Yuzhou Cao Haobo Wang Hongxin Wei Bo An Lei Feng OOD 79 7 0 08 Nov 2023
Principled Approaches for Learning to Defer with Multiple Experts Anqi Mao M. Mohri Yutao Zhong 67 23 0 23 Oct 2023
Predictor-Rejector Multi-Class Abstention: Theoretical Analysis and Algorithms Anqi Mao M. Mohri Yutao Zhong 88 27 0 23 Oct 2023
Theoretically Grounded Loss Functions and Algorithms for Score-Based Multi-Class Abstention Anqi Mao M. Mohri Yutao Zhong 50 24 0 23 Oct 2023
Selective Nonparametric Regression via Testing Fedor Noskov Alexander Fishkov Maxim Panov 68 0 0 28 Sep 2023
Learning to Abstain From Uninformative Data Yikai Zhang Songzhu Zheng M. Dalirrooyfard Pengxiang Wu Anderson Schneider Anant Raj Yuriy Nevmyvaka Chao Chen 48 2 0 25 Sep 2023
Dream the Impossible: Outlier Imagination with Diffusion Models Xuefeng Du Yiyou Sun Xiaojin Zhu Yixuan Li 93 63 0 23 Sep 2023
Learning Point-wise Abstaining Penalty for Point Cloud Anomaly Detection Shaocong Xu Pengfei Li Xinyi Liu Qianpu Sun Yang Li ... Bo Jiang Rui Wang Kehua Sheng Bo Zhang Hao Zhao 3DPC 49 0 0 19 Sep 2023
Label Selection Approach to Learning from Crowds Kosuke Yoshimura H. Kashima NoLa 18 0 0 21 Aug 2023
Empirical Optimal Risk to Quantify Model Trustworthiness for Failure Detection Shuang Ao Stefan Rueger Advaith Siddharthan 73 3 0 06 Aug 2023
Threshold-aware Learning to Generate Feasible Solutions for Mixed Integer Programs Taehyun Yoon Jinwon Choi Hyokun Yun Sungbin Lim 47 0 0 01 Aug 2023
Understanding Silent Failures in Medical Image Classification Till J. Bungert L. Kobelke Paul F. Jaeger UQCV 77 4 0 27 Jul 2023
How do you feel? Measuring User-Perceived Value for Rejecting Machine Decisions in Hate Speech Detection Philippe Lammerts Philip Lippmann Yen-Chia Hsu Fabio Casati Jie Yang 60 0 0 21 Jul 2023
Dividing and Conquering a BlackBox to a Mixture of Interpretable Models: Route, Interpret, Repeat Shantanu Ghosh K. Yu Forough Arabshahi Kayhan Batmanghelich MoE 68 14 0 07 Jul 2023
When No-Rejection Learning is Consistent for Regression with Rejection Xiaocheng Li Shang Liu Chunlin Sun Hanrui Wang 79 1 0 06 Jul 2023
When Does Confidence-Based Cascade Deferral Suffice? Wittawat Jitkrittum Neha Gupta A. Menon Harikrishna Narasimhan A. S. Rawat Surinder Kumar 53 23 0 06 Jul 2023
Improving Selective Visual Question Answering by Learning from Your Peers Corentin Dancette Spencer Whitehead Rishabh Maheshwary Ramakrishna Vedantam Stefan Scherer Xinlei Chen Matthieu Cord Marcus Rohrbach AAML OOD 82 17 0 14 Jun 2023
Training Private Models That Know What They Don't Know Stephan Rabanser Anvith Thudi Abhradeep Thakurta Krishnamurthy Dvijotham Nicolas Papernot 85 7 0 28 May 2023
How to Fix a Broken Confidence Estimator: Evaluating Post-hoc Methods for Selective Classification with Deep Neural Networks L. F. P. Cattelan Danilo Silva UQCV 121 6 0 24 May 2023
Unsupervised Anomaly Detection with Rejection Lorenzo Perini Jesse Davis 81 7 0 22 May 2023
Zero-Shot End-to-End Spoken Language Understanding via Cross-Modal Selective Self-Training Jianfeng He Julian Salazar Kaisheng Yao Haoqi Li Jason (Jinglun) Cai VLM 70 7 0 22 May 2023
Counterfactually Comparing Abstaining Classifiers Yo Joong Choe Aditya Gangrade Aaditya Ramdas 62 1 0 17 May 2023
Logit-Based Ensemble Distribution Distillation for Robust Autoregressive Sequence Uncertainties Yassir Fathullah Guoxuan Xia Mark Gales UQCV 61 5 0 17 May 2023
Stratified Adversarial Robustness with Rejection Jiefeng Chen Jayaram Raghuram Jihye Choi Xi Wu Yingyu Liang S. Jha 52 2 0 02 May 2023
Survey on Leveraging Uncertainty Estimation Towards Trustworthy Deep Neural Networks: The Case of Reject Option and Post-training Processing M. Hasan Moloud Abdar Abbas Khosravi U. Aickelin Pietro Lio Ibrahim Hossain Ashikur Rahman Saeid Nahavandi 90 4 0 11 Apr 2023
ASPEST: Bridging the Gap Between Active Learning and Selective Prediction Jiefeng Chen Jinsung Yoon Sayna Ebrahimi Sercan O. Arik S. Jha Tomas Pfister 106 1 0 07 Apr 2023
Predicted Embedding Power Regression for Large-Scale Out-of-Distribution Detection Han Yang William R. Gebhardt Alexander Ororbia Travis J. Desell OODD 43 0 0 07 Mar 2023
Non-Parametric Outlier Synthesis Leitian Tao Xuefeng Du Xiaojin Zhu Yixuan Li OODD 95 108 0 06 Mar 2023
What Can We Learn From The Selective Prediction And Uncertainty Estimation Performance Of 523 Imagenet Classifiers Ido Galil Mohammed Dabbah Ran El-Yaniv UQCV 78 31 0 23 Feb 2023
Tackling Shortcut Learning in Deep Neural Networks: An Iterative Approach with Interpretable Models Shantanu Ghosh K. Yu Forough Arabshahi Kayhan Batmanghelich 141 3 0 20 Feb 2023
A Minimax Approach Against Multi-Armed Adversarial Attacks Detection Federica Granese Marco Romanelli S. Garg Pablo Piantanida AAML 55 0 0 04 Feb 2023
Generalized Uncertainty of Deep Neural Networks: Taxonomy and Applications Chengyu Dong OOD UQCV BDL AI4CE 128 0 0 02 Feb 2023
Plugin estimators for selective classification with out-of-distribution detection Harikrishna Narasimhan A. Menon Wittawat Jitkrittum Surinder Kumar OODD 75 4 0 29 Jan 2023
An Exploratory Study of AI System Risk Assessment from the Lens of Data Distribution and Uncertainty Zhijie Wang Yuheng Huang Lei Ma Haruki Yokoyama Susumu Tokumoto Kazuki Munakata 64 4 0 13 Dec 2022
Selective classification using a robust meta-learning approach Nishant Jain Karthikeyan Shanmugam Pradeep Shenoy OOD 73 2 0 12 Dec 2022
A Learning Based Hypothesis Test for Harmful Covariate Shift T. Ginsberg Zhongyuan Liang Rahul G. Krishnan 90 14 0 06 Dec 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 103 38 0 28 Nov 2022
Gumbel-Softmax Selective Networks Mahmoud Salem Mohamed Osama Ahmed Frederick Tung Gabriel L. Oliveira 36 1 0 19 Nov 2022
Uncertainty Quantification for Rule-Based Models Yusik Kim UQCV 19 0 0 03 Nov 2022
Augmentation by Counterfactual Explanation -- Fixing an Overconfident Classifier Sumedha Singla Nihal Murali Forough Arabshahi Sofia Triantafyllou Kayhan Batmanghelich CML 122 5 0 21 Oct 2022
AUC-based Selective Classification Andrea Pugnana Salvatore Ruggieri 68 10 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 100 48 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 324 538 0 28 Sep 2022
Interpretable Selective Learning in Credit Risk Dangxing Chen Weicheng Ye Jiahui Ye FaML 66 16 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 268 80 0 16 Sep 2022
Learning When to Say "I Don't Know" Nicholas Kashani Motlagh Jim Davis Tim Anderson Jeremy Gwinnup 50 1 0 11 Sep 2022
Unifying Evaluation of Machine Learning Safety Monitors Joris Guérin Raul Sena Ferreira Kevin Delmas Jérémie Guiochet 75 13 0 31 Aug 2022
Calibrated Selective Classification Adam Fisch Tommi Jaakkola Regina Barzilay 87 17 0 25 Aug 2022
Partial Matrix Completion Elad Hazan Adam Tauman Kalai Varun Kanade Clara Mohri Y. Jennifer Sun 64 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 39 3 0 12 Aug 2022