Evolving Deep Neural Networks

1 March 2017

Papers citing "Evolving Deep Neural Networks"

50 / 107 papers shown

Title
Meta-Learning of Neural Architectures for Few-Shot Learning T. Elsken B. Staffler J. H. Metzen Frank Hutter 20 136 0 25 Nov 2019
ReNAS:Relativistic Evaluation of Neural Architecture Search Yixing Xu Yunhe Wang Avishkar Bhoopchand Christopher Mattern A. Grabska-Barwinska Chunjing Xu Chang Xu 27 82 0 30 Sep 2019
Understanding and Robustifying Differentiable Architecture Search Arber Zela T. Elsken Tonmoy Saikia Yassine Marrakchi Thomas Brox Frank Hutter OOD AAML 66 368 0 20 Sep 2019
CARS: Continuous Evolution for Efficient Neural Architecture Search Zhaohui Yang Yunhe Wang Xinghao Chen Boxin Shi Chao Xu Chunjing Xu Qi Tian Chang Xu 15 223 0 11 Sep 2019
Auto-GNN: Neural Architecture Search of Graph Neural Networks Kaixiong Zhou Qingquan Song Xiao Huang Xia Hu GNN 61 178 0 07 Sep 2019
Efficient Neural Architecture Transformation Searchin Channel-Level for Object Detection Junran Peng Ming Sun Zhaoxiang Zhang Tieniu Tan Junjie Yan ViT 27 56 0 05 Sep 2019
AutoML: A Survey of the State-of-the-Art Xin He Kaiyong Zhao Xiaowen Chu 22 1,423 0 02 Aug 2019
Particle Swarm Optimisation for Evolving Deep Neural Networks for Image Classification by Evolving and Stacking Transferable Blocks Bin Wang Bing Xue Mengjie Zhang 27 50 0 29 Jul 2019
Genetic Deep Learning for Lung Cancer Screening Hun-Tae Park Connor Monahan 23 9 0 27 Jul 2019
PC-DARTS: Partial Channel Connections for Memory-Efficient Architecture Search Yuhui Xu Lingxi Xie Xiaopeng Zhang Xin Chen Guo-Jun Qi Qi Tian H. Xiong 48 604 0 12 Jul 2019
Evolving Robust Neural Architectures to Defend from Adversarial Attacks Shashank Kotyan Danilo Vasconcellos Vargas OOD AAML 24 36 0 27 Jun 2019
ALWANN: Automatic Layer-Wise Approximation of Deep Neural Network Accelerators without Retraining Vojtěch Mrázek Z. Vašíček Lukás Sekanina Muhammad Abdullah Hanif Muhammad Shafique 19 92 0 11 Jun 2019
Weight Agnostic Neural Networks Adam Gaier David R Ha OOD 38 239 0 11 Jun 2019
Unsupervised Model Selection for Variational Disentangled Representation Learning Sunny Duan Loic Matthey Andre Saraiva Nicholas Watters Christopher P. Burgess Alexander Lerchner I. Higgins OOD DRL 6 78 0 29 May 2019
Improved Training Speed, Accuracy, and Data Utilization Through Loss Function Optimization Santiago Gonzalez Risto Miikkulainen 27 75 0 27 May 2019
Evolving neural networks to follow trajectories of arbitrary complexity Benjamin Inden Jürgen Jost 6 0 0 21 May 2019
Automatic Design of Artificial Neural Networks for Gamma-Ray Detection Filipe Assunção João Correia R. Conceição M. Pimenta B. Tomé Nuno Lourenço Penousal Machado 10 18 0 09 May 2019
Fast-DENSER++: Evolving Fully-Trained Deep Artificial Neural Networks Filipe Assunção Nuno Lourenço Penousal Machado B. Ribeiro ODL 14 6 0 08 May 2019
Routing Networks and the Challenges of Modular and Compositional Computation Clemens Rosenbaum Ignacio Cases Matthew D Riemer Tim Klinger 40 78 0 29 Apr 2019
A Review of Modularization Techniques in Artificial Neural Networks Mohammed Amer Tomás Maul 26 80 0 29 Apr 2019
Deep Neuroevolution of Recurrent and Discrete World Models S. Risi Kenneth O. Stanley OCL 14 53 0 28 Apr 2019
D-VAE: A Variational Autoencoder for Directed Acyclic Graphs Muhan Zhang Shali Jiang Zhicheng Cui Roman Garnett Yixin Chen GNN BDL CML 32 196 0 24 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 22 928 0 31 Mar 2019
Evaluating the Search Phase of Neural Architecture Search Kaicheng Yu C. Sciuto Martin Jaggi C. Musat Mathieu Salzmann 20 342 0 21 Feb 2019
EAT-NAS: Elastic Architecture Transfer for Accelerating Large-scale Neural Architecture Search Jiemin Fang Yukang Chen Xinbang Zhang Qian Zhang Chang Huang Gaofeng Meng Wenyu Liu Xinggang Wang 36 24 0 17 Jan 2019
NeuNetS: An Automated Synthesis Engine for Neural Network Design Atin Sood Benjamin Elder Benjamin Herta Chao Xue C. Bekas ... M. Choudhury Rong Yan R. Istrate Ruchi Puri Tejaswini Pedapati SyDa 35 7 0 17 Jan 2019
Neural Rejuvenation: Improving Deep Network Training by Enhancing Computational Resource Utilization Siyuan Qiao Zhe-nan Lin Jianming Zhang Alan Yuille 8 23 0 02 Dec 2018
Evolutionary Stochastic Gradient Descent for Optimization of Deep Neural Networks Xiaodong Cui Wei Zhang Zoltán Tüske M. Picheny ODL 16 89 0 16 Oct 2018
Graph HyperNetworks for Neural Architecture Search Chris Zhang Mengye Ren R. Urtasun GNN 19 273 0 12 Oct 2018
NSGA-Net: Neural Architecture Search using Multi-Objective Genetic Algorithm Zhichao Lu Ian Whalen Vishnu Boddeti Yashesh D. Dhebar Kalyanmoy Deb E. Goodman W. Banzhaf 34 81 0 08 Oct 2018
GeneSys: Enabling Continuous Learning through Neural Network Evolution in Hardware A. Samajdar Parth Mannan K. Garg T. Krishna 21 20 0 03 Aug 2018
Speeding up the Hyperparameter Optimization of Deep Convolutional Neural Networks Tobias Hinz Nicolás Navarro-Guerrero S. Magg S. Wermter 27 104 0 19 Jul 2018
Auto Deep Compression by Reinforcement Learning Based Actor-Critic Structure Hamed Hakkak OffRL AI4CE 15 1 0 08 Jul 2018
Constructing Deep Neural Networks by Bayesian Network Structure Learning R. Y. Rohekar Shami Nisimov Yaniv Gurwicz G. Koren Gal Novik BDL 12 26 0 24 Jun 2018
Auto-Meta: Automated Gradient Based Meta Learner Search Jaehong Kim Sangyeul Lee Sungwan Kim Moonsu Cha Jung Kwon Lee Youngduck Choi Yongseok Choi Dong-Yeon Cho Jiwon Kim AI4CE 33 39 0 11 Jun 2018
EIGEN: Ecologically-Inspired GENetic Approach for Neural Network Structure Searching from Scratch Jian Ren Zhe Li Jianchao Yang N. Xu Tianbao Yang D. Foran 35 17 0 05 Jun 2018
TAPAS: Train-less Accuracy Predictor for Architecture Search R. Istrate F. Scheidegger G. Mariani Dimitrios S. Nikolopoulos C. Bekas A. Malossi OOD 32 75 0 01 Jun 2018
Autonomously and Simultaneously Refining Deep Neural Network Parameters by Generative Adversarial Networks Burak Kakillioglu Yantao Lu Senem Velipasalar 19 0 0 24 May 2018
Holarchic Structures for Decentralized Deep Learning - A Performance Analysis Evangelos Pournaras S. Yadhunathan A. Diaconescu 14 13 0 07 May 2018
How Robust are Deep Neural Networks? B. Sengupta Karl J. Friston OOD 25 31 0 30 Apr 2018
Efficient Multi-objective Neural Architecture Search via Lamarckian Evolution T. Elsken J. H. Metzen Frank Hutter 131 499 0 24 Apr 2018
Efficient Image Dataset Classification Difficulty Estimation for Predicting Deep-Learning Accuracy F. Scheidegger R. Istrate G. Mariani Luca Benini C. Bekas C. Malossi VLM 37 44 0 26 Mar 2018
From Nodes to Networks: Evolving Recurrent Neural Networks Aditya Rawal Risto Miikkulainen 15 53 0 12 Mar 2018
Pseudo-task Augmentation: From Deep Multitask Learning to Intratask Sharing---and Back Elliot Meyerson Risto Miikkulainen 25 45 0 11 Mar 2018
Evolutionary Architecture Search For Deep Multitask Networks J. Liang Elliot Meyerson Risto Miikkulainen 39 120 0 10 Mar 2018
Exploiting the Potential of Standard Convolutional Autoencoders for Image Restoration by Evolutionary Search Masanori Suganuma Mete Ozay Takayuki Okatani 19 87 0 01 Mar 2018
Demystifying Parallel and Distributed Deep Learning: An In-Depth Concurrency Analysis Tal Ben-Nun Torsten Hoefler GNN 33 703 0 26 Feb 2018
AMC: AutoML for Model Compression and Acceleration on Mobile Devices Yihui He Ji Lin Zhijian Liu Hanrui Wang Li-Jia Li Song Han 35 1,342 0 10 Feb 2018
Effective Building Block Design for Deep Convolutional Neural Networks using Search Jayanta K. Dutta Jiayi Liu Unmesh Kurup Mohak Shah 3DV 29 11 0 25 Jan 2018
Deep Neuroevolution: Genetic Algorithms Are a Competitive Alternative for Training Deep Neural Networks for Reinforcement Learning F. Such Vashisht Madhavan Edoardo Conti Joel Lehman Kenneth O. Stanley Jeff Clune 41 686 0 18 Dec 2017