OWAdapt: An adaptive loss function for deep learning using OWA operators

OWAdapt: An adaptive loss function for deep learning using OWA operators

30 May 2023

Sebastián Maldonado

Miguel Carrasco

Papers citing "OWAdapt: An adaptive loss function for deep learning using OWA operators"

15 / 15 papers shown

Title
Learning from Noisy Labels with Deep Neural Networks: A Survey Hwanjun Song Minseok Kim Dongmin Park Yooju Shin Jae-Gil Lee NoLa 101 985 0 16 Jul 2020
Cost-Sensitive BERT for Generalisable Sentence Classification with Imbalanced Data Harish Tayyar Madabushi E. Kochkina Michael Castelle 51 107 0 16 Mar 2020
SoftAdapt: Techniques for Adaptive Loss Weighting of Neural Networks with Multi-Part Loss Functions A. Heydari Craig Thompson A. Mehmood 56 62 0 27 Dec 2019
Addressing the Loss-Metric Mismatch with Adaptive Loss Alignment Chen Huang Shuangfei Zhai Walter A. Talbott Miguel Angel Bautista Shi Sun Carlos Guestrin J. Susskind 64 76 0 15 May 2019
U-Net for MAV-based Penstock Inspection: an Investigation of Focal Loss in Multi-class Segmentation for Corrosion Identification Ty Nguyen Tolga Özaslan Ian D. Miller J. Keller Giuseppe Loianno Camillo J Taylor Daniel D. Lee Vijay Kumar Joseph H. Harwood J. Wozencraft 38 16 0 18 Sep 2018
Understanding Batch Normalization Johan Bjorck Carla P. Gomes B. Selman Kilian Q. Weinberger 146 610 0 01 Jun 2018
A Cost-Sensitive Deep Belief Network for Imbalanced Classification Chong Zhang Kay Chen Tan Haizhou Li G. Hong 48 231 0 28 Apr 2018
GradNorm: Gradient Normalization for Adaptive Loss Balancing in Deep Multitask Networks Zhao Chen Vijay Badrinarayanan Chen-Yu Lee Andrew Rabinovich ODL 158 1,284 0 07 Nov 2017
MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications Andrew G. Howard Menglong Zhu Bo Chen Dmitry Kalenichenko Weijun Wang Tobias Weyand M. Andreetto Hartwig Adam 3DH 1.1K 20,832 0 17 Apr 2017
On Loss Functions for Deep Neural Networks in Classification Katarzyna Janocha Wojciech M. Czarnecki UQCV 68 551 0 18 Feb 2017
A General and Adaptive Robust Loss Function Jonathan T. Barron OOD DRL 185 538 0 11 Jan 2017
Deep Residual Learning for Image Recognition Kaiming He Xinming Zhang Shaoqing Ren Jian Sun MedIm 2.2K 193,878 0 10 Dec 2015
Adam: A Method for Stochastic Optimization Diederik P. Kingma Jimmy Ba ODL 1.8K 150,039 0 22 Dec 2014
Very Deep Convolutional Networks for Large-Scale Image Recognition Karen Simonyan Andrew Zisserman FAtt MDE 1.6K 100,348 0 04 Sep 2014
SMOTE: Synthetic Minority Over-sampling Technique Nitesh Chawla Kevin W. Bowyer Lawrence Hall W. Kegelmeyer AI4TS 361 25,642 0 09 Jun 2011