Designing Neural Network Architectures using Reinforcement Learning

7 November 2016

Papers citing "Designing Neural Network Architectures using Reinforcement Learning"

50 / 238 papers shown

Title
C2FNAS: Coarse-to-Fine Neural Architecture Search for 3D Medical Image Segmentation Qihang Yu Dong Yang H. Roth Yutong Bai Yixiao Zhang Alan Yuille Daguang Xu 37 106 0 20 Dec 2019
UNAS: Differentiable Architecture Search Meets Reinforcement Learning Arash Vahdat Arun Mallya Ming Liu Jan Kautz 30 33 0 16 Dec 2019
Blockwisely Supervised Neural Architecture Search with Knowledge Distillation Changlin Li Jiefeng Peng Liuchun Yuan Guangrun Wang Xiaodan Liang Liang Lin Xiaojun Chang 31 179 0 29 Nov 2019
Meta-Learning of Neural Architectures for Few-Shot Learning T. Elsken B. Staffler J. H. Metzen Frank Hutter 20 136 0 25 Nov 2019
Exploiting Operation Importance for Differentiable Neural Architecture Search Xukai Xie Yuan Zhou S. Kung 17 34 0 24 Nov 2019
SM-NAS: Structural-to-Modular Neural Architecture Search for Object Detection Lewei Yao Hang Xu Wei Zhang Xiaodan Liang Zhenguo Li 19 79 0 22 Nov 2019
BANANAS: Bayesian Optimization with Neural Architectures for Neural Architecture Search Colin White Willie Neiswanger Yash Savani BDL 45 313 0 25 Oct 2019
How can AI Automate End-to-End Data Science? Charu C. Aggarwal Djallel Bouneffouf Horst Samulowitz Beat Buesser T. Hoang ... Tejaswini Pedapati Parikshit Ram Ambrish Rawat Martin Wistuba Alexander G. Gray 88 14 0 22 Oct 2019
Meta-learning for fast classifier adaptation to new users of Signature Verification systems L. G. Hafemann R. Sabourin Luiz Eduardo Soares de Oliveira AAML 32 25 0 17 Oct 2019
Searching for A Robust Neural Architecture in Four GPU Hours Xuanyi Dong Yezhou Yang 20 647 0 10 Oct 2019
Sub-Architecture Ensemble Pruning in Neural Architecture Search Yijun Bian Qingquan Song Mengnan Du Jun Yao Huanhuan Chen Xia Hu 17 14 0 01 Oct 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
Synthetic Data for Deep Learning Sergey I. Nikolenko 46 348 0 25 Sep 2019
Constrained deep neural network architecture search for IoT devices accounting hardware calibration F. Scheidegger Luca Benini C. Bekas A. Malossi 3DV 32 15 0 24 Sep 2019
Model-Based and Data-Driven Strategies in Medical Image Computing Daniel Rueckert Julia A. Schnabel OOD MedIm AI4CE 28 50 0 23 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
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
A Framework for Model Search Across Multiple Machine Learning Implementations Yoshiki Takahashi M. Asahara Kazuyuki Shudo 21 3 0 27 Aug 2019
AutoML: A Survey of the State-of-the-Art Xin He Kaiyong Zhao Xiaowen Chu 22 1,423 0 02 Aug 2019
Towards AutoML in the presence of Drift: first results Jorge G. Madrid Hugo Jair Escalante E. Morales Wei-Wei Tu Yang Yu Lisheng Sun-Hosoya Isabelle M Guyon Michele Sebag 13 25 0 24 Jul 2019
XferNAS: Transfer Neural Architecture Search Martin Wistuba 29 12 0 18 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
AutoCompress: An Automatic DNN Structured Pruning Framework for Ultra-High Compression Rates Ning Liu Xiaolong Ma Zhiyuan Xu Yanzhi Wang Jian Tang Jieping Ye 40 185 0 06 Jul 2019
Efficient Neural Interaction Function Search for Collaborative Filtering Quanming Yao Xiangning Chen James T. Kwok Yong Li Cho-Jui Hsieh 16 43 0 28 Jun 2019
Evolving Robust Neural Architectures to Defend from Adversarial Attacks Shashank Kotyan Danilo Vasconcellos Vargas OOD AAML 24 36 0 27 Jun 2019
Hyp-RL : Hyperparameter Optimization by Reinforcement Learning H. Jomaa Josif Grabocka Lars Schmidt-Thieme 25 65 0 27 Jun 2019
AGAN: Towards Automated Design of Generative Adversarial Networks Hanchao Wang Jun Huan GAN AI4CE 19 37 0 25 Jun 2019
Which Tasks Should Be Learned Together in Multi-task Learning? Trevor Scott Standley Amir Zamir Dawn Chen Leonidas J. Guibas Jitendra Malik Silvio Savarese 24 503 0 18 May 2019
Multinomial Distribution Learning for Effective Neural Architecture Search Xiawu Zheng Rongrong Ji Lang Tang Baochang Zhang Jianzhuang Liu Q. Tian 25 88 0 18 May 2019
Tabular Benchmarks for Joint Architecture and Hyperparameter Optimization Aaron Klein Frank Hutter 15 91 0 13 May 2019
Searching for MobileNetV3 Andrew G. Howard Mark Sandler Grace Chu Liang-Chieh Chen Bo Chen ... Yukun Zhu Ruoming Pang Vijay Vasudevan Quoc V. Le Hartwig Adam 97 6,616 0 06 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
Benchmark and Survey of Automated Machine Learning Frameworks Marc-André Zöller Marco F. Huber 25 86 0 26 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
NAS-Bench-101: Towards Reproducible Neural Architecture Search Chris Ying Aaron Klein Esteban Real Eric Christiansen Kevin Patrick Murphy Frank Hutter 12 672 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 35 37 0 21 Feb 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
AutoQ: Automated Kernel-Wise Neural Network Quantization Qian Lou Feng Guo Lantao Liu Minje Kim Lei Jiang MQ 27 97 0 15 Feb 2019
Deep Learning on Attributed Graphs: A Journey from Graphs to Their Embeddings and Back M. Simonovsky BDL GNN 29 1 0 24 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
Multi-Objective Reinforced Evolution in Mobile Neural Architecture Search Xiangxiang Chu Bo Zhang Ruijun Xu Hailong Ma 31 98 0 04 Jan 2019
A Review of Meta-Reinforcement Learning for Deep Neural Networks Architecture Search Yesmina Jaâfra J. Laurent A. Deruyver M. Naceur OOD 13 14 0 17 Dec 2018
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
Graph HyperNetworks for Neural Architecture Search Chris Zhang Mengye Ren R. Urtasun GNN 19 273 0 12 Oct 2018
Rethinking the Value of Network Pruning Zhuang Liu Mingjie Sun Tinghui Zhou Gao Huang Trevor Darrell 10 1,453 0 11 Oct 2018
Discovering General-Purpose Active Learning Strategies Ksenia Konyushkova Raphael Sznitman Pascal Fua 27 33 0 09 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
AutoLoss: Learning Discrete Schedules for Alternate Optimization Haowen Xu Huatian Zhang Zhiting Hu Xiaodan Liang Ruslan Salakhutdinov Eric Xing 32 30 0 04 Oct 2018
M $^3$ RL: Mind-aware Multi-agent Management Reinforcement Learning Tianmin Shu Yuandong Tian 22 53 0 29 Sep 2018