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  4. Cited By
Autonomous Deep Learning: A Genetic DCNN Designer for Image
  Classification

Autonomous Deep Learning: A Genetic DCNN Designer for Image Classification

1 July 2018
Benteng Ma
Yong-quan Xia
ArXiv (abs)PDFHTML

Papers citing "Autonomous Deep Learning: A Genetic DCNN Designer for Image Classification"

9 / 9 papers shown
Title
ILASH: A Predictive Neural Architecture Search Framework for Multi-Task
  Applications
ILASH: A Predictive Neural Architecture Search Framework for Multi-Task Applications
Md Hafizur Rahman
Md. Mashfiq Rizvee
Sumaiya Shomaji
Prabuddha Chakraborty
236
2
0
03 Dec 2024
Neural Architecture Search using Particle Swarm and Ant Colony
  Optimization
Neural Architecture Search using Particle Swarm and Ant Colony Optimization
Séamus Lankford
Diarmuid Grimes
85
13
0
06 Mar 2024
LIFT: Language-Interfaced Fine-Tuning for Non-Language Machine Learning
  Tasks
LIFT: Language-Interfaced Fine-Tuning for Non-Language Machine Learning TasksNeural Information Processing Systems (NeurIPS), 2022
Tuan Dinh
Yuchen Zeng
Ruisu Zhang
Ziqian Lin
Michael Gira
Shashank Rajput
Jy-yong Sohn
Dimitris Papailiopoulos
Kangwook Lee
LMTD
503
166
0
14 Jun 2022
Neural Architecture Search based on Cartesian Genetic Programming Coding
  Method
Neural Architecture Search based on Cartesian Genetic Programming Coding Method
Xuan Wu
Linhan Jia
Xiuyi Zhang
Liang Chen
Yanchun Liang
You Zhou
Chunguo Wu
199
0
0
12 Mar 2021
DAFAR: Defending against Adversaries by Feedback-Autoencoder
  Reconstruction
DAFAR: Defending against Adversaries by Feedback-Autoencoder Reconstruction
Haowen Liu
Ping Yi
Hsiao-Ying Lin
Jie Shi
Weidong Qiu
AAML
105
2
0
11 Mar 2021
Multi-Knowledge Fusion for New Feature Generation in Generalized
  Zero-Shot Learning
Multi-Knowledge Fusion for New Feature Generation in Generalized Zero-Shot Learning
Hongxin Xiang
Cheng Xie
Ting Zeng
Yun Yang
82
8
0
23 Feb 2021
Transferable Universal Adversarial Perturbations Using Generative Models
Transferable Universal Adversarial Perturbations Using Generative Models
Atiyeh Hashemi
Andreas Bär
S. Mozaffari
Tim Fingscheidt
AAML
178
19
0
28 Oct 2020
Lights and Shadows in Evolutionary Deep Learning: Taxonomy, Critical
  Methodological Analysis, Cases of Study, Learned Lessons, Recommendations and
  Challenges
Lights and Shadows in Evolutionary Deep Learning: Taxonomy, Critical Methodological Analysis, Cases of Study, Learned Lessons, Recommendations and ChallengesInformation Fusion (Inf. Fusion), 2020
Aritz D. Martinez
Javier Del Ser
Esther Villar-Rodriguez
E. Osaba
Javier Poyatos
Siham Tabik
Daniel Molina
Francisco Herrera
272
31
0
09 Aug 2020
Angular Learning: Toward Discriminative Embedded Features
Angular Learning: Toward Discriminative Embedded Features
J.‐T. Wu
L.Wang
CVBM
96
1
0
17 Dec 2019
1