The Real-World-Weight Cross-Entropy Loss Function: Modeling the Costs of Mislabeling

3 January 2020

Papers citing "The Real-World-Weight Cross-Entropy Loss Function: Modeling the Costs of Mislabeling"

8 / 8 papers shown

Title
Multi-Task Faces (MTF) Data Set: A Legally and Ethically Compliant Collection of Face Images for Various Classification Tasks Rami Haffar David Sánchez J. Domingo-Ferrer CVBM 44 0 0 20 Nov 2023
Class-Balanced Loss Based on Effective Number of Samples Huayu Chen Menglin Jia Nayeon Lee Yang Song Serge J. Belongie 133 2,253 0 16 Jan 2019
Exploring the Limits of Weakly Supervised Pretraining D. Mahajan Ross B. Girshick Vignesh Ramanathan Kaiming He Manohar Paluri Yixuan Li Ashwin R. Bharambe Laurens van der Maaten VLM 143 1,362 0 02 May 2018
Focal Loss for Dense Object Detection Nayeon Lee Priya Goyal Ross B. Girshick Kaiming He Piotr Dollár ObjD 74 2,993 0 07 Aug 2017
Scalable Learning of Non-Decomposable Objectives Elad Eban Mariano Schain Alan Mackey A. Gordon R. Rifkin G. Elidan 22 109 0 16 Aug 2016
Man is to Computer Programmer as Woman is to Homemaker? Debiasing Word Embeddings Tolga Bolukbasi Kai-Wei Chang James Zou Venkatesh Saligrama Adam Kalai CVBM FaML 28 3,115 0 21 Jul 2016
TensorFlow: Large-Scale Machine Learning on Heterogeneous Distributed Systems Martín Abadi Ashish Agarwal P. Barham E. Brevdo Zhiwen Chen ... Pete Warden Martin Wattenberg Martin Wicke Yuan Yu Xiaoqiang Zheng 129 11,135 0 14 Mar 2016
SMOTE: Synthetic Minority Over-sampling Technique Nitesh Chawla Kevin W. Bowyer Lawrence Hall W. Kegelmeyer AI4TS 237 25,443 0 09 Jun 2011