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Neural Optimizer Search with Reinforcement Learning

21 September 2017

Papers citing "Neural Optimizer Search with Reinforcement Learning"

50 / 163 papers shown

Title
Non-asymptotic Convergence of Adam-type Reinforcement Learning Algorithms under Markovian SamplingAAAI Conference on Artificial Intelligence (AAAI), 2020 Huaqing Xiong Tengyu Xu Yingbin Liang Wei Zhang 171 35 0 15 Feb 2020
Revisiting Meta-Learning as Supervised Learning Wei-Lun Chao Han-Jia Ye De-Chuan Zhan M. Campbell Kilian Q. Weinberger OOD FedML 150 24 0 03 Feb 2020
Computational model discovery with reinforcement learning M. Bassenne A. Lozano-Durán 96 13 0 29 Dec 2019
BETANAS: BalancEd TrAining and selective drop for Neural Architecture Search Muyuan Fang Qiang-qiang Wang Zhaobai Zhong OOD 168 9 0 24 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 531 7,405 0 10 Dec 2019
Deep symbolic regression: Recovering mathematical expressions from data via risk-seeking policy gradientsInternational Conference on Learning Representations (ICLR), 2019 Brenden K. Petersen Mikel Landajuela T. Nathan Mundhenk Claudio Santiago Soo K. Kim Joanne T. Kim 438 395 0 10 Dec 2019
DeepLine: AutoML Tool for Pipelines Generation using Deep Reinforcement Learning and Hierarchical Actions FilteringKnowledge Discovery and Data Mining (KDD), 2019 Yuval Heffetz Roman Vainshtein Gilad Katz Lior Rokach 175 47 0 31 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 236 14 0 22 Oct 2019
One-Shot Neural Architecture Search via Self-Evaluated Template NetworkIEEE International Conference on Computer Vision (ICCV), 2019 Xuanyi Dong Yezhou Yang ViT 264 199 0 13 Oct 2019
Searching for A Robust Neural Architecture in Four GPU HoursComputer Vision and Pattern Recognition (CVPR), 2019 Xuanyi Dong Yezhou Yang 359 689 0 10 Oct 2019
Yet another but more efficient black-box adversarial attack: tiling and evolution strategies Laurent Meunier Cen Chen Li Wang MLAU AAML 258 42 0 05 Oct 2019
A Large-scale Study of Representation Learning with the Visual Task Adaptation Benchmark Xiaohua Zhai J. Puigcerver Alexander Kolesnikov P. Ruyssen C. Riquelme ... Michael Tschannen Marcin Michalski Olivier Bousquet Sylvain Gelly N. Houlsby SSL 222 498 0 01 Oct 2019
Synthetic Data for Deep Learning Sergey I. Nikolenko 312 406 0 25 Sep 2019
Compiler-Level Matrix Multiplication Optimization for Deep Learning Huaqing Zhang Xiaolin Cheng H. Zang Dae Hoon Park 93 8 0 23 Sep 2019
Photorealistic Material Editing Through Direct Image Manipulation K. Zsolnai-Fehér Peter Wonka Michael Wimmer DiffM 100 8 0 12 Sep 2019
Scalable Reinforcement-Learning-Based Neural Architecture Search for Cancer Deep Learning ResearchInternational Conference for High Performance Computing, Networking, Storage and Analysis (SC), 2019 Dali Wang Romain Egele Misha Salim Stefan M. Wild V. Vishwanath Fangfang Xia Thomas Brettin Rick L. Stevens 187 58 0 01 Sep 2019
Optimizing quantum heuristics with meta-learningQuantum Machine Intelligence (QMI), 2019 M. Wilson Rachel Stromswold Filip Wudarski Stuart Hadfield N. Tubman E. Rieffel 174 82 0 08 Aug 2019
Highlight Every Step: Knowledge Distillation via Collaborative TeachingIEEE Transactions on Cybernetics (IEEE Trans. Cybern.), 2019 Haoran Zhao Changrui Chen Junyu Dong Xin Sun Zihe Dong 155 72 0 23 Jul 2019
Learning to Handle Parameter Perturbations in Combinatorial Optimization: an Application to Facility LocationEURO Journal on Transportation and Logistics (JETL), 2019 Andrea Lodi Luca Mossina Emmanuel Rachelson 129 31 0 12 Jul 2019
Transfer NAS: Knowledge Transfer between Search Spaces with Transformer Agents Zalan Borsos A. Khorlin Andrea Gesmundo 99 8 0 19 Jun 2019
Deep Reinforcement Learning for Unmanned Aerial Vehicle-Assisted Vehicular Networks M. Zhu Xiao-Yang Liu Xiaodong Wang 929 20 0 12 Jun 2019
Using learned optimizers to make models robust to input noise Luke Metz Niru Maheswaranathan Jonathon Shlens Jascha Narain Sohl-Dickstein E. D. Cubuk VLM OOD 125 26 0 08 Jun 2019
AutoDispNet: Improving Disparity Estimation With AutoMLIEEE International Conference on Computer Vision (ICCV), 2019 Tonmoy Saikia Yassine Marrakchi Arber Zela Katharina Eggensperger Thomas Brox 228 84 0 17 May 2019
Addressing the Loss-Metric Mismatch with Adaptive Loss AlignmentInternational Conference on Machine Learning (ICML), 2019 Chen Huang Shuangfei Zhai Walter A. Talbott Miguel Angel Bautista Shi Sun Carlos Guestrin J. Susskind 125 82 0 15 May 2019
Neural Architecture Refinement: A Practical Way for Avoiding Overfitting in NAS Yangzhou Jiang Cong Zhao Zeyang Dou Lei Pang 130 5 0 07 May 2019
Differentiable Architecture Search with Ensemble Gumbel-Softmax Jianlong Chang Xinbang Zhang Yiwen Guo Gaofeng Meng Shiming Xiang Chunhong Pan 3DPC 107 19 0 06 May 2019
Edge-labeling Graph Neural Network for Few-shot LearningComputer Vision and Pattern Recognition (CVPR), 2019 Jongmin Kim Taesup Kim Sungwoong Kim Chang D. Yoo 189 504 0 04 May 2019
A Survey on Neural Architecture Search Martin Wistuba Ambrish Rawat Tejaswini Pedapati AI4CE 219 277 0 04 May 2019
How You Act Tells a Lot: Privacy-Leakage Attack on Deep Reinforcement Learning Xinlei Pan Weiyao Wang Xiaoshuai Zhang Yue Liu Jinfeng Yi Basel Alomair MIACV 205 26 0 24 Apr 2019
Attention Augmented Convolutional Networks Irwan Bello Barret Zoph Ashish Vaswani Jonathon Shlens Quoc V. Le 524 1,119 0 22 Apr 2019
GraphNAS: Graph Neural Architecture Search with Reinforcement Learning Yang Gao Hong Yang Peng Zhang Chuan Zhou Yue Hu AI4CE GNN 326 114 0 22 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 141 38 0 16 Apr 2019
Coin.AI: A Proof-of-Useful-Work Scheme for Blockchain-based Distributed Deep Learning Alejandro Baldominos Gómez Y. Sáez 170 88 0 23 Mar 2019
DeepOBS: A Deep Learning Optimizer Benchmark Suite Frank Schneider Lukas Balles Philipp Hennig ODL 348 75 0 13 Mar 2019
Extreme Tensoring for Low-Memory PreconditioningInternational Conference on Learning Representations (ICLR), 2019 Xinyi Chen Naman Agarwal Elad Hazan Cyril Zhang Yi Zhang 172 11 0 12 Feb 2019
Hyper-parameter Tuning under a Budget ConstraintInternational Joint Conference on Artificial Intelligence (IJCAI), 2019 Zhiyun Lu Chao-Kai Chiang Fei Sha 148 17 0 01 Feb 2019
Really should we pruning after model be totally trained? Pruning based on a small amount of training Li Yue Zhao Weibin Shang-Te Lin VLM 79 6 0 24 Jan 2019
SPI-Optimizer: an integral-Separated PI Controller for Stochastic Optimization Dan Wang Mengqi Ji Yong Wang Haoqian Wang Lu Fang 84 4 0 29 Dec 2018
Neural Architecture Search Over a Graph Search Space Stanislaw Jastrzebski Quentin de Laroussilhe Mingxing Tan Xiao Ma N. Houlsby Andrea Gesmundo GNN 114 5 0 27 Dec 2018
An overview of deep learning in medical imaging focusing on MRIZeitschrift für Medizinische Physik (Z Med Phys), 2018 A. Lundervold A. Lundervold OOD 298 1,789 0 25 Nov 2018
Evolutionary-Neural Hybrid Agents for Architecture Search Krzysztof Maziarz Mingxing Tan A. Khorlin Quentin de Laroussilhe Andrea Gesmundo 260 42 0 24 Nov 2018
Layout Design for Intelligent Warehouse by Evolution with Fitness Approximation Haifeng Zhang Zilong Guo Han Cai Chris Wang Weinan Zhang Yong Yu Wenxin Li Jun Wang 114 15 0 14 Nov 2018
Understanding and correcting pathologies in the training of learned optimizers Luke Metz Niru Maheswaranathan Jeremy Nixon C. Freeman Jascha Narain Sohl-Dickstein ODL 457 159 0 24 Oct 2018
Deep Reinforcement Learning Yuxi Li VLM OffRL 323 144 0 15 Oct 2018
Learning To Simulate Nataniel Ruiz S. Schulter Manmohan Chandraker 369 121 0 05 Oct 2018
AutoLoss: Learning Discrete Schedules for Alternate Optimization Haowen Xu Huatian Zhang Zhiting Hu Xiaodan Liang Ruslan Salakhutdinov Eric Xing 100 30 0 04 Oct 2018
Backprop Evolution Maximilian Alber Irwan Bello Barret Zoph Pieter-Jan Kindermans Prajit Ramachandran Quoc V. Le 129 9 0 08 Aug 2018
Quantitative Phase Imaging and Artificial Intelligence: A Review YoungJu Jo Hyungjoon Cho Sang Yun Lee Gunho Choi Geon Kim Hyun-Seok Min Yongkeun Park 223 162 0 06 Jun 2018
Efficient Entropy for Policy Gradient with Multidimensional Action Space Yiming Zhang Q. Vuong Kenny Song Xiao-Yue Gong George Andriopoulos 88 18 0 02 Jun 2018
Reinforced Continual Learning Ju Xu Zhanxing Zhu CLL 209 405 0 31 May 2018