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Large-Scale Evolution of Image Classifiers

3 March 2017

Jie Tan

Papers citing "Large-Scale Evolution of Image Classifiers"

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Title
Hit-Detector: Hierarchical Trinity Architecture Search for Object Detection Jianyuan Guo Kai Han Yunhe Wang Chao Zhang Zhaohui Yang Hanxue Wu Xinghao Chen Chang Xu 80 99 0 26 Mar 2020
Circumventing Outliers of AutoAugment with Knowledge Distillation Longhui Wei Anxiang Xiao Lingxi Xie Xin Chen Xiaopeng Zhang Qi Tian 80 62 0 25 Mar 2020
BS-NAS: Broadening-and-Shrinking One-Shot NAS with Searchable Numbers of Channels Zan Shen Jiang Qian Bojin Zhuang Shaojun Wang Jing Xiao 84 5 0 22 Mar 2020
How to Train Your Super-Net: An Analysis of Training Heuristics in Weight-Sharing NAS Kaicheng Yu René Ranftl Mathieu Salzmann 75 35 0 09 Mar 2020
Searching Central Difference Convolutional Networks for Face Anti-Spoofing Zitong Yu Chenxu Zhao Zezheng Wang Yunxiao Qin Z. Su Xiaobai Li Feng Zhou Guoying Zhao CVBM 168 421 0 09 Mar 2020
Sampled Training and Node Inheritance for Fast Evolutionary Neural Architecture Search Haoyu Zhang Yaochu Jin Ran Cheng K. Hao 67 9 0 07 Mar 2020
AutoML-Zero: Evolving Machine Learning Algorithms From Scratch Esteban Real Chen Liang David R. So Quoc V. Le 79 226 0 06 Mar 2020
Real-time Federated Evolutionary Neural Architecture Search Hangyu Zhu Yaochu Jin FedML 202 73 0 04 Mar 2020
BATS: Binary ArchitecTure Search Adrian Bulat Brais Martínez Georgios Tzimiropoulos MQ 97 68 0 03 Mar 2020
ADWPNAS: Architecture-Driven Weight Prediction for Neural Architecture Search Xu Zhang Chenjun Zhou Bo Gu 79 1 0 03 Mar 2020
NAS-Count: Counting-by-Density with Neural Architecture Search Yutao Hu Xiaolong Jiang Xuhui Liu Baochang Zhang Jungong Han Xianbin Cao David Doermann 78 90 0 29 Feb 2020
ImmuNetNAS: An Immune-network approach for searching Convolutional Neural Network Architectures Kefan Chen Wei Pang 35 2 0 28 Feb 2020
Neural Architecture Search for Compressed Sensing Magnetic Resonance Image Reconstruction Jiangpeng Yan Shuo Chen Yongbing Zhang Xiu Li 53 24 0 22 Feb 2020
Accelerating Reinforcement Learning with a Directional-Gaussian-Smoothing Evolution Strategy Jiaxing Zhang Hoang Tran Guannan Zhang 68 9 0 21 Feb 2020
Evolutionary Optimization of Deep Learning Activation Functions G. Bingham William Macke Risto Miikkulainen ODL 50 51 0 17 Feb 2020
ArcText: A Unified Text Approach to Describing Convolutional Neural Network Architectures Yanan Sun Ziyao Ren Gary G. Yen Bing Xue Mengjie Zhang Jiancheng Lv 23 0 0 16 Feb 2020
Classifying the classifier: dissecting the weight space of neural networks Gabriel Eilertsen Daniel Jonsson Timo Ropinski Jonas Unger Anders Ynnerman 71 54 0 13 Feb 2020
Stabilizing Differentiable Architecture Search via Perturbation-based Regularization Xiangning Chen Cho-Jui Hsieh 102 207 0 12 Feb 2020
Towards Crowdsourced Training of Large Neural Networks using Decentralized Mixture-of-Experts Max Ryabinin Anton I. Gusev FedML 91 52 0 10 Feb 2020
A Novel Evolution Strategy with Directional Gaussian Smoothing for Blackbox Optimization Jiaxin Zhang Hoang Tran Dan Lu Guannan Zhang 87 17 0 07 Feb 2020
NAS-Bench-1Shot1: Benchmarking and Dissecting One-shot Neural Architecture Search Arber Zela Julien N. Siems Frank Hutter 141 149 0 28 Jan 2020
Towards a Human-like Open-Domain Chatbot Daniel De Freitas Minh-Thang Luong David R. So Jamie Hall Noah Fiedel ... Zi Yang Apoorv Kulshreshtha Gaurav Nemade Yifeng Lu Quoc V. Le 150 940 0 27 Jan 2020
Convolution Neural Network Architecture Learning for Remote Sensing Scene Classification Jie Chen Haozhe Huang Jian Peng Jiawei Zhu Li Chen Wenbo Li Bingyu Sun Haifeng Li 51 14 0 27 Jan 2020
SS-Auto: A Single-Shot, Automatic Structured Weight Pruning Framework of DNNs with Ultra-High Efficiency Zechao Li Yifan Gong Xiaolong Ma Sijia Liu Mengshu Sun Zheng Zhan Zhenglun Kong Geng Yuan Yanzhi Wang 53 17 0 23 Jan 2020
Latency-Aware Differentiable Neural Architecture Search Yuhui Xu Lingxi Xie Xiaopeng Zhang Xin Chen Bowen Shi Qi Tian H. Xiong OOD 70 33 0 17 Jan 2020
Neural Architecture Search for Deep Image Prior Kary Ho Andrew Gilbert Hailin Jin John Collomosse 80 36 0 14 Jan 2020
Intelligence, physics and information -- the tradeoff between accuracy and simplicity in machine learning Tailin Wu 121 1 0 11 Jan 2020
Deeper Insights into Weight Sharing in Neural Architecture Search Yuge Zhang Zejun Lin Junyan Jiang Quanlu Zhang Yujing Wang Hui Xue Chen Zhang Yaming Yang 88 50 0 06 Jan 2020
EcoNAS: Finding Proxies for Economical Neural Architecture Search Dongzhan Zhou Xinchi Zhou Wenwei Zhang Chen Change Loy Shuai Yi Xuesen Zhang Wanli Ouyang 87 112 0 05 Jan 2020
Scalable NAS with Factorizable Architectural Parameters Lanfei Wang Lingxi Xie Tianyi Zhang Jun Guo Qi Tian 85 3 0 31 Dec 2019
RC-DARTS: Resource Constrained Differentiable Architecture Search Xiaojie Jin Jiang Wang Joshua Slocum Ming-Hsuan Yang Shengyang Dai Shuicheng Yan Jiashi Feng 60 31 0 30 Dec 2019
NAS evaluation is frustratingly hard Antoine Yang P. Esperança Fabio Maria Carlucci 84 168 0 28 Dec 2019
UNAS: Differentiable Architecture Search Meets Reinforcement Learning Arash Vahdat Arun Mallya Ming-Yuan Liu Jan Kautz 85 34 0 16 Dec 2019
A Variational-Sequential Graph Autoencoder for Neural Architecture Performance Prediction David Friede Jovita Lukasik Heiner Stuckenschmidt Margret Keuper GNN BDL DRL 27 8 0 11 Dec 2019
Advances and Open Problems in Federated Learning Peter Kairouz H. B. McMahan Brendan Avent A. Bellet M. Bennis ... Zheng Xu Qiang Yang Felix X. Yu Han Yu Sen Zhao FedML AI4CE 294 6,336 0 10 Dec 2019
Multi-Objective Evolutionary Design of Deep Convolutional Neural Networks for Image Classification Zhichao Lu Ian Whalen Yashesh D. Dhebar Kalyanmoy Deb E. Goodman W. Banzhaf Vishnu Boddeti 70 11 0 03 Dec 2019
Neural Predictor for Neural Architecture Search W. Wen Hanxiao Liu H. Li Yiran Chen Gabriel Bender Pieter-Jan Kindermans 101 200 0 02 Dec 2019
DEGAS: Differentiable Efficient Generator Search Sivan Doveh Raja Giryes 55 18 0 02 Dec 2019
Data-Driven Compression of Convolutional Neural Networks Ramit Pahwa Manoj Ghuhan Arivazhagan Ankur Garg S. Krishnamoorthy Rohit Saxena Sunav Choudhary 32 3 0 28 Nov 2019
AdaShare: Learning What To Share For Efficient Deep Multi-Task Learning Ximeng Sun Yikang Shen Rogerio Feris Kate Saenko 97 269 0 27 Nov 2019
Ranking architectures using meta-learning Alina Dubatovka Efi Kokiopoulou L. Sbaiz Andrea Gesmundo Gábor Bartók Jesse Berent 32 1 0 26 Nov 2019
Meta-Learning of Neural Architectures for Few-Shot Learning T. Elsken B. Staffler J. H. Metzen Frank Hutter 88 139 0 25 Nov 2019
SM-NAS: Structural-to-Modular Neural Architecture Search for Object Detection Lewei Yao Hang Xu Wei Zhang Xiaodan Liang Zhenguo Li 72 80 0 22 Nov 2019
Bridging the Gap between Sample-based and One-shot Neural Architecture Search with BONAS Han Shi Renjie Pi Hang Xu Zhenguo Li James T. Kwok Tong Zhang 86 32 0 21 Nov 2019
ImmuNeCS: Neural Committee Search by an Artificial Immune System L. Frachon Wei Pang George Macleod Coghill 37 9 0 18 Nov 2019
ASCAI: Adaptive Sampling for acquiring Compact AI Mojan Javaheripi Mohammad Samragh T. Javidi F. Koushanfar 42 2 0 15 Nov 2019
The Deep Learning Revolution and Its Implications for Computer Architecture and Chip Design J. Dean 55 79 0 13 Nov 2019
RAPDARTS: Resource-Aware Progressive Differentiable Architecture Search Sam Green C. Vineyard Ryan L. Helinski Ç. Koç 39 3 0 08 Nov 2019
Device-Circuit-Architecture Co-Exploration for Computing-in-Memory Neural Accelerators Weiwen Jiang Qiuwen Lou Zheyu Yan Lei Yang Jiaxi Hu X. S. Hu Yiyu Shi 119 72 0 31 Oct 2019
Stabilizing DARTS with Amended Gradient Estimation on Architectural Parameters Kaifeng Bi Changping Hu Lingxi Xie Xin Chen Longhui Wei Qi Tian 84 50 0 25 Oct 2019