Learning and Sharing: A Multitask Genetic Programming Approach to Image
Feature Learning

v1v2 (latest)

Learning and Sharing: A Multitask Genetic Programming Approach to Image Feature Learning

17 December 2020

Bing Xue

ArXiv (abs)PDF HTML

Papers citing "Learning and Sharing: A Multitask Genetic Programming Approach to Image Feature Learning"

9 / 9 papers shown

Title
MDFN: Multi-Scale Deep Feature Learning Network for Object Detection Wenchi Ma Yuanwei Wu Feng Cen Guanghui Wang ObjD 57 134 0 10 Dec 2019
On Better Exploring and Exploiting Task Relationships in Multi-Task Learning: Joint Model and Feature Learning Ya Li Xinmei Tian Tongliang Liu Dacheng Tao 117 42 0 03 Apr 2019
Self-supervised Visual Feature Learning with Deep Neural Networks: A Survey Longlong Jing Yingli Tian SSL 126 1,700 0 16 Feb 2019
Deep Super Learner: A Deep Ensemble for Classification Problems Steven Young T. Abdou A. Bener UQCV 37 49 0 06 Mar 2018
Deep Forest Zhi Zhou Ji Feng 99 1,011 0 28 Feb 2017
Inception-v4, Inception-ResNet and the Impact of Residual Connections on Learning Christian Szegedy Sergey Ioffe Vincent Vanhoucke Alexander A. Alemi 377 14,253 0 23 Feb 2016
Deep Convolutional Neural Networks for Computer-Aided Detection: CNN Architectures, Dataset Characteristics and Transfer Learning Hoo-Chang Shin H. Roth Mingchen Gao Le Lu Ziyue Xu Isabella Nogues Jianhua Yao D. Mollura Ronald M. Summers 74 4,604 0 10 Feb 2016
Rethinking the Inception Architecture for Computer Vision Christian Szegedy Vincent Vanhoucke Sergey Ioffe Jonathon Shlens Z. Wojna 3DV BDL 883 27,373 0 02 Dec 2015
The Benefit of Multitask Representation Learning Andreas Maurer Massimiliano Pontil Bernardino Romera-Paredes SSL 104 375 0 23 May 2015

We use cookies and other tracking technologies to improve your browsing experience on our website, to show you personalized content and targeted ads, to analyze our website traffic, and to understand where our visitors are coming from. See our policy.