Data-Driven Estimation of the False Positive Rate of the Bayes Binary Classifier via Soft Labels

27 January 2024

Papers citing "Data-Driven Estimation of the False Positive Rate of the Bayes Binary Classifier via Soft Labels"

18 / 18 papers shown

Title
Binary Classification with Confidence Difference Wei Wang Lei Feng Yuchen Jiang Gang Niu Min Zhang Masashi Sugiyama 52 6 0 09 Oct 2023
One-to-Few Label Assignment for End-to-End Dense Detection Shuai Li Minghan Li Ruihuang Li Chenhang He Lei Zhang 59 18 0 21 Mar 2023
Training sound event detection with soft labels from crowdsourced annotations Irene Martín-Morató Manu Harju Paul Ahokas A. Mesaros 47 16 0 28 Feb 2023
Learning From Biased Soft Labels Hua Yuan Ning Xu Yuge Shi Xin Geng Yong Rui FedML 48 6 0 16 Feb 2023
Scaling Up Dataset Distillation to ImageNet-1K with Constant Memory Justin Cui Ruochen Wang Si Si Cho-Jui Hsieh DD 95 137 0 19 Nov 2022
Online Knowledge Distillation via Mutual Contrastive Learning for Visual Recognition Chuanguang Yang Zhulin An Helong Zhou Fuzhen Zhuang Yongjun Xu Qian Zhang 113 51 0 23 Jul 2022
Beyond Hard Labels: Investigating data label distributions Vasco Grossmann Lars Schmarje Reinhard Koch 53 11 0 13 Jul 2022
Eliciting and Learning with Soft Labels from Every Annotator Katherine M. Collins Umang Bhatt Adrian Weller 57 45 0 02 Jul 2022
Is the Performance of My Deep Network Too Good to Be True? A Direct Approach to Estimating the Bayes Error in Binary Classification Takashi Ishida Ikko Yamane Nontawat Charoenphakdee Gang Niu Masashi Sugiyama BDL UQCV 60 17 0 01 Feb 2022
Knowledge Distillation as Semiparametric Inference Tri Dao G. Kamath Vasilis Syrgkanis Lester W. Mackey 69 31 0 20 Apr 2021
Rethinking Soft Labels for Knowledge Distillation: A Bias-Variance Tradeoff Perspective Helong Zhou Liangchen Song Jiajie Chen Ye Zhou Guoli Wang Junsong Yuan Qian Zhang 67 174 0 01 Feb 2021
Delving Deep into Label Smoothing Chang-Bin Zhang Peng-Tao Jiang Qibin Hou Yunchao Wei Qi Han Zhen Li Ming-Ming Cheng 99 212 0 25 Nov 2020
Learning from Noisy Labels with Deep Neural Networks: A Survey Hwanjun Song Minseok Kim Dongmin Park Yooju Shin Jae-Gil Lee NoLa 107 985 0 16 Jul 2020
Rethinking Class Relations: Absolute-relative Supervised and Unsupervised Few-shot Learning Hongguang Zhang Piotr Koniusz Songlei Jian Hongdong Li Philip Torr SSL 92 60 0 12 Jan 2020
Human uncertainty makes classification more robust Joshua C. Peterson Ruairidh M. Battleday Thomas Griffiths Olga Russakovsky OOD 62 302 0 19 Aug 2019
Be Your Own Teacher: Improve the Performance of Convolutional Neural Networks via Self Distillation Linfeng Zhang Jiebo Song Anni Gao Jingwei Chen Chenglong Bao Kaisheng Ma FedML 68 861 0 17 May 2019
Binary Classification from Positive-Confidence Data Takashi Ishida Gang Niu Masashi Sugiyama 55 57 0 19 Oct 2017
Rethinking the Inception Architecture for Computer Vision Christian Szegedy Vincent Vanhoucke Sergey Ioffe Jonathon Shlens Z. Wojna 3DV BDL 883 27,358 0 02 Dec 2015