A surrogate loss function for optimization of $F_β$ score in binary classification with imbalanced data

3 April 2021

Papers citing "A surrogate loss function for optimization of $F_β$ score in binary classification with imbalanced data"

10 / 10 papers shown

Title
PyTorch: An Imperative Style, High-Performance Deep Learning Library Adam Paszke Sam Gross Francisco Massa Adam Lerer James Bradbury ... Sasank Chilamkurthy Benoit Steiner Lu Fang Junjie Bai Soumith Chintala ODL 523 42,559 0 03 Dec 2019
Class-Balanced Loss Based on Effective Number of Samples Huayu Chen Menglin Jia Nayeon Lee Yang Song Serge J. Belongie 202 2,288 0 16 Jan 2019
Generalized Cross Entropy Loss for Training Deep Neural Networks with Noisy Labels Zhilu Zhang M. Sabuncu NoLa 85 2,608 0 20 May 2018
Optimizing Non-decomposable Measures with Deep Networks Amartya Sanyal Pawan Kumar Purushottam Kar Sanjay Chawla Fabrizio Sebastiani 47 26 0 31 Jan 2018
A systematic study of the class imbalance problem in convolutional neural networks Mateusz Buda A. Maki Maciej A. Mazurowski 221 2,370 0 15 Oct 2017
The Devil is in the Tails: Fine-grained Classification in the Wild Grant Van Horn Pietro Perona VLM 84 206 0 05 Sep 2017
Scalable Learning of Non-Decomposable Objectives Elad Eban Mariano Schain Alan Mackey A. Gordon R. Rifkin G. Elidan 36 110 0 16 Aug 2016
Deep Residual Learning for Image Recognition Kaiming He Xinming Zhang Shaoqing Ren Jian Sun MedIm 2.2K 194,322 0 10 Dec 2015
Optimizing Non-decomposable Performance Measures: A Tale of Two Classes Harikrishna Narasimhan Purushottam Kar Prateek Jain 55 45 0 26 May 2015
Online and Stochastic Gradient Methods for Non-decomposable Loss Functions Purushottam Kar Harikrishna Narasimhan Prateek Jain 91 72 0 24 Oct 2014