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Large-Scale Evolution of Image Classifiers

3 March 2017

Jie Tan

Papers citing "Large-Scale Evolution of Image Classifiers"

50 / 738 papers shown

Title
Weight Agnostic Neural Networks Adam Gaier David R Ha OOD 67 242 0 11 Jun 2019
DiCENet: Dimension-wise Convolutions for Efficient Networks Sachin Mehta Hannaneh Hajishirzi Mohammad Rastegari 101 43 0 08 Jun 2019
AutoGrow: Automatic Layer Growing in Deep Convolutional Networks W. Wen Feng Yan Yiran Chen H. Li 81 40 0 07 Jun 2019
V-NAS: Neural Architecture Search for Volumetric Medical Image Segmentation Zhuotun Zhu Chenxi Liu Dong Yang Alan Yuille Daguang Xu 81 105 0 06 Jun 2019
StyleNAS: An Empirical Study of Neural Architecture Search to Uncover Surprisingly Fast End-to-End Universal Style Transfer Networks Jie An Haoyi Xiong Jinwen Ma Jiebo Luo Jun Huan OOD 21 5 0 06 Jun 2019
Automated Machine Learning: State-of-The-Art and Open Challenges Radwa El Shawi Mohamed Maher Sherif Sakr 58 162 0 05 Jun 2019
Butterfly Transform: An Efficient FFT Based Neural Architecture Design Keivan Alizadeh-Vahid Anish K. Prabhu Ali Farhadi Mohammad Rastegari 138 50 0 05 Jun 2019
Neural networks grown and self-organized by noise G. Raghavan Matt Thomson 53 13 0 03 Jun 2019
Efficient Forward Architecture Search Hanzhang Hu John Langford R. Caruana Saurajit Mukherjee Eric Horvitz Debadeepta Dey 61 40 0 31 May 2019
Structure Learning for Neural Module Networks Vardaan Pahuja Jie Fu Sarath Chandar C. Pal 69 7 0 27 May 2019
Constrained Design of Deep Iris Networks Kien Nguyen Clinton Fookes Sridha Sridharan CVBM 3DV 63 19 0 23 May 2019
Exploring Structural Sparsity of Deep Networks via Inverse Scale Spaces Yanwei Fu Chen Liu Donghao Li Zuyuan Zhong Xinwei Sun Jinshan Zeng Yuan Yao 48 10 0 23 May 2019
Evolving neural networks to follow trajectories of arbitrary complexity Benjamin Inden Jürgen Jost 17 0 0 21 May 2019
Adaptive Stochastic Natural Gradient Method for One-Shot Neural Architecture Search Youhei Akimoto Shinichi Shirakawa Nozomu Yoshinari Kento Uchida Shota Saito K. Nishida 77 87 0 21 May 2019
Evolving Rewards to Automate Reinforcement Learning Aleksandra Faust Anthony G. Francis Dar Mehta 77 51 0 18 May 2019
AutoDispNet: Improving Disparity Estimation With AutoML Tonmoy Saikia Yassine Marrakchi Arber Zela Frank Hutter Thomas Brox 109 79 0 17 May 2019
DeepSwarm: Optimising Convolutional Neural Networks using Swarm Intelligence Edvinas Byla Wei Pang 76 44 0 17 May 2019
Regularized Evolutionary Algorithm for Dynamic Neural Topology Search Cristiano Saltori Subhankar Roy N. Sebe Giovanni Iacca 33 7 0 15 May 2019
Automatic Model Selection for Neural Networks David Laredo Yulin Qin O. Schütze Jianqiao Sun BDL 54 16 0 15 May 2019
Tabular Benchmarks for Joint Architecture and Hyperparameter Optimization Aaron Klein Frank Hutter 53 93 0 13 May 2019
BayesNAS: A Bayesian Approach for Neural Architecture Search Hongpeng Zhou Minghao Yang Jun Wang Wei Pan BDL 103 202 0 13 May 2019
EENA: Efficient Evolution of Neural Architecture Hui Zhu Zhulin An Chuanguang Yang Kaiqiang Xu Erhu Zhao Yongjun Xu 3DV 101 39 0 10 May 2019
Fast-DENSER++: Evolving Fully-Trained Deep Artificial Neural Networks Filipe Assunção Nuno Lourenço Penousal Machado B. Ribeiro ODL 65 6 0 08 May 2019
Differentiable Architecture Search with Ensemble Gumbel-Softmax Jianlong Chang Xinbang Zhang Yiwen Guo Gaofeng Meng Shiming Xiang Chunhong Pan 3DPC 51 18 0 06 May 2019
A Survey on Neural Architecture Search Martin Wistuba Ambrish Rawat Tejaswini Pedapati AI4CE 103 259 0 04 May 2019
D-VAE: A Variational Autoencoder for Directed Acyclic Graphs Muhan Zhang Shali Jiang Zhicheng Cui Roman Garnett Yixin Chen GNN BDL CML 118 203 0 24 Apr 2019
GraphNAS: Graph Neural Architecture Search with Reinforcement Learning Yang Gao Hong Yang Peng Zhang Chuan Zhou Yue Hu AI4CE GNN 96 101 0 22 Apr 2019
Emergence of Compositional Language with Deep Generational Transmission Michael Cogswell Jiasen Lu Stefan Lee Devi Parikh Dhruv Batra 117 49 0 19 Apr 2019
SparseMask: Differentiable Connectivity Learning for Dense Image Prediction Huikai Wu Junge Zhang Kaiqi Huang 3DH 63 19 0 16 Apr 2019
HARK Side of Deep Learning -- From Grad Student Descent to Automated Machine Learning O. Gencoglu M. Gils E. Guldogan Chamin Morikawa Mehmet Süzen M. Gruber J. Leinonen H. Huttunen 105 36 0 16 Apr 2019
Intra-Ensemble in Neural Networks Yuan Gao Zixiang Cai Chen Sun FedML UQCV 47 5 0 09 Apr 2019
ASAP: Architecture Search, Anneal and Prune Asaf Noy Niv Nayman T. Ridnik Nadav Zamir Sivan Doveh Itamar Friedman Raja Giryes Lihi Zelnik-Manor 84 103 0 08 Apr 2019
Nucleus Neural Network: A Data-driven Self-organized Architecture Jia Liu Maoguo Gong Haibo He 51 2 0 08 Apr 2019
WeNet: Weighted Networks for Recurrent Network Architecture Search Zhiheng Huang Bing Xiang 16 4 0 08 Apr 2019
Template-Based Automatic Search of Compact Semantic Segmentation Architectures Vladimir Nekrasov Chunhua Shen Ian Reid SSeg VLM 51 10 0 04 Apr 2019
Meta-learning Convolutional Neural Architectures for Multi-target Concrete Defect Classification with the COncrete DEfect BRidge IMage Dataset Martin Mundt Sagnik Majumder S. Murali P. Panetsos Visvanathan Ramesh 28 106 0 02 Apr 2019
Adaptive Bayesian Linear Regression for Automated Machine Learning Weilin Zhou F. Precioso 59 5 0 01 Apr 2019
Single Path One-Shot Neural Architecture Search with Uniform Sampling Zichao Guo Xiangyu Zhang Haoyuan Mu Wen Heng Zechun Liu Yichen Wei Jian Sun 185 941 0 31 Mar 2019
AlphaX: eXploring Neural Architectures with Deep Neural Networks and Monte Carlo Tree Search Linnan Wang Yiyang Zhao Yuu Jinnai Yuandong Tian Rodrigo Fonseca BDL 89 96 0 26 Mar 2019
MetaPruning: Meta Learning for Automatic Neural Network Channel Pruning Zechun Liu Haoyuan Mu Xiangyu Zhang Zichao Guo Xin Yang K. Cheng Jian Sun 104 564 0 25 Mar 2019
sharpDARTS: Faster and More Accurate Differentiable Architecture Search Andrew Hundt Varun Jain Gregory Hager OOD 85 67 0 23 Mar 2019
Coin.AI: A Proof-of-Useful-Work Scheme for Blockchain-based Distributed Deep Learning Alejandro Baldominos Gómez Y. Sáez 66 81 0 23 Mar 2019
Towards Optimal Structured CNN Pruning via Generative Adversarial Learning Shaohui Lin Rongrong Ji Chenqian Yan Baochang Zhang Liujuan Cao QiXiang Ye Feiyue Huang David Doermann CVBM 58 510 0 22 Mar 2019
Evolving Deep Neural Networks by Multi-objective Particle Swarm Optimization for Image Classification Bin Wang Yizhou Sun Bing Xue Mengjie Zhang 86 66 0 21 Mar 2019
Partial Order Pruning: for Best Speed/Accuracy Trade-off in Neural Architecture Search Xuzhao Li Yiming Zhou Zheng Pan Jiashi Feng 3DV 72 158 0 09 Mar 2019
Inductive Transfer for Neural Architecture Optimization Martin Wistuba Tejaswini Pedapati 50 9 0 08 Mar 2019
Evolutionary Cell Aided Design for Neural Network Architectures Philip Colangelo Oren Segal Alexander Speicher M. Margala 36 3 0 06 Mar 2019
NAS-Bench-101: Towards Reproducible Neural Architecture Search Chris Ying Aaron Klein Esteban Real Eric Christiansen Kevin Patrick Murphy Frank Hutter 112 688 0 25 Feb 2019
Overcoming Multi-Model Forgetting Yassine Benyahia Kaicheng Yu Kamil Bennani-Smires Martin Jaggi A. Davison Mathieu Salzmann C. Musat MoMe KELM CLL 96 37 0 21 Feb 2019
Evaluating the Search Phase of Neural Architecture Search Kaicheng Yu C. Sciuto Martin Jaggi C. Musat Mathieu Salzmann 125 344 0 21 Feb 2019