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Neural Optimizer Search with Reinforcement Learning

21 September 2017

Papers citing "Neural Optimizer Search with Reinforcement Learning"

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Title
Towards Explainable Personalized Recommendations by Learning from Users' PhotosInformation Sciences (Inf. Sci.), 2020 Jorge Díez Pablo Pérez-Núñez Oscar Luaces Beatriz Remeseiro Antonio Bahamonde HAI 40 28 0 24 Oct 2025
Sequential Policy Gradient for Adaptive Hyperparameter Optimization Zheng Li Jerry Q. Cheng Huanying Gu OffRL 147 1 0 18 Jun 2025
Efficient End-to-End Learning for Decision-Making: A Meta-Optimization Approach Rares Cristian Pavithra Harsha Georgia Perakis Brian Quanz 162 0 0 16 May 2025
Learning to Reason from Feedback at Test-TimeAnnual Meeting of the Association for Computational Linguistics (ACL), 2025 Yanyang Li Michael R. Lyu Liwei Wang LRM 274 7 0 16 Feb 2025
Lightweight Design and Optimization methods for DCNNs: Progress and Futures Hanhua Long Wenbin Bi Jian Sun 213 1 0 22 Dec 2024
Efficient Pretraining Data Selection for Language Models via Multi-Actor CollaborationAnnual Meeting of the Association for Computational Linguistics (ACL), 2024 Tianyi Bai Ling Yang Zhen Hao Wong Fupeng Sun Jiahui Peng ... Lijun Wu Jiantao Qiu Wentao Zhang Binhang Yuan Conghui He LLMAG 317 10 0 10 Oct 2024
Narrowing the Focus: Learned Optimizers for Pretrained Models Gus Kristiansen Mark Sandler A. Zhmoginov Nolan Miller Anirudh Goyal Jihwan Lee Max Vladymyrov 178 2 0 17 Aug 2024
The devil is in discretization discrepancy. Robustifying Differentiable NAS with Single-Stage Searching Protocol Konstanty Subbotko Wojciech Jablonski Piotr Bilinski 209 0 0 26 May 2024
Implantable Adaptive Cells: A Novel Enhancement for Pre-Trained U-Nets in Medical Image Segmentation Emil Benedykciuk Marcin Denkowski Grzegorz Wójcik 195 0 0 06 May 2024
Neural Optimizer Equation, Decay Function, and Learning Rate Schedule Joint EvolutionAnnual Conference on Genetic and Evolutionary Computation (GECCO), 2024 Brandon Morgan Dean Frederick Hougen ODL 217 0 0 10 Apr 2024
Dynamic Memory Based Adaptive Optimization Balázs Szegedy Domonkos Czifra Péter Korösi-Szabó ODL 210 0 0 23 Feb 2024
Guided Evolution with Binary Discriminators for ML Program Search John D. Co-Reyes Yingjie Miao George Tucker Aleksandra Faust Esteban Real 157 0 0 08 Feb 2024
tnGPS: Discovering Unknown Tensor Network Structure Search Algorithms via Large Language Models (LLMs) Junhua Zeng Chao Li Zhun Sun Qibin Zhao Guoxu Zhou 318 8 0 04 Feb 2024
Neural Loss Function Evolution for Large-Scale Image Classifier Convolutional Neural Networks Brandon Morgan Dean Frederick Hougen 86 4 0 30 Jan 2024
Automatic Generators for a Family of Matrix Multiplication Routines with Apache TVMACM Transactions on Mathematical Software (TOMS), 2023 Guillermo Alaejos Adrián Castelló P. Alonso-Jordá Francisco D. Igual Héctor J. Martínez Enrique S. Quintana-Ortí 94 5 0 31 Oct 2023
Is Scaling Learned Optimizers Worth It? Evaluating The Value of VeLO's 4000 TPU Months Fady Rezk Antreas Antoniou Henry Gouk Timothy M. Hospedales ELM 221 2 0 27 Oct 2023
Lion Secretly Solves Constrained Optimization: As Lyapunov Predicts Lizhang Chen Bo Liu Kaizhao Liang Qian Liu ODL 339 26 0 09 Oct 2023
propnet: Propagating 2D Annotation to 3D Segmentation for Gastric Tumors on CT Scans Zi Chen Jiazheng Li Jie Zhao Yiting Liu Hongfeng Li Bin Dong Lei Tang Li Zhang 123 1 0 29 May 2023
DAC-MR: Data Augmentation Consistency Based Meta-Regularization for Meta-Learning Jun Shu Xiang Yuan Deyu Meng Zongben Xu 217 5 0 13 May 2023
B2Opt: Learning to Optimize Black-box Optimization with Little BudgetAAAI Conference on Artificial Intelligence (AAAI), 2023 Xiaobin Li K. Wu Xiaoyu Zhang Handing Wang Qingbin Liu 167 15 0 24 Apr 2023
Learning To Optimize Quantum Neural Network Without GradientsInternational Conference on Quantum Computing and Engineering (QCE), 2023 Ankit Kulshrestha Xiaoyuan Liu Hayato Ushijima-Mwesigwa Ilya Safro 146 8 0 15 Apr 2023
MSINet: Twins Contrastive Search of Multi-Scale Interaction for Object ReIDComputer Vision and Pattern Recognition (CVPR), 2023 Jianyang Gu Kai Wang Haowen Luo Chen Chen Wei Jiang Yuqiang Fang Shang Zhang Yang You Jian-jun Zhao 141 66 0 13 Mar 2023
Enhancing Machine Learning Model Performance with Hyper Parameter Optimization: A Comparative Study C. Erden Halil Ibrahim Demir Abdullah Hulusi Kokccam 80 7 0 14 Feb 2023
Symbolic Discovery of Optimization AlgorithmsNeural Information Processing Systems (NeurIPS), 2023 Xiangning Chen Chen Liang Da Huang Esteban Real Kaiyuan Wang ... Xuanyi Dong Thang Luong Cho-Jui Hsieh Yifeng Lu Quoc V. Le 601 496 0 13 Feb 2023
Federated Automatic Differentiation Keith Rush Zachary B. Charles Zachary Garrett FedML 231 1 0 18 Jan 2023
Learning to Optimize in Model Predictive ControlIEEE International Conference on Robotics and Automation (ICRA), 2022 Jacob Sacks Byron Boots 199 25 0 05 Dec 2022
VeLO: Training Versatile Learned Optimizers by Scaling Up Luke Metz James Harrison C. Freeman Amil Merchant Lucas Beyer ... Naman Agrawal Ben Poole Igor Mordatch Adam Roberts Jascha Narain Sohl-Dickstein 254 74 0 17 Nov 2022
Construction of Hierarchical Neural Architecture Search Spaces based on Context-free GrammarsNeural Information Processing Systems (NeurIPS), 2022 Simon Schrodi Daniel Stoll Binxin Ru R. Sukthanker Thomas Brox Katharina Eggensperger 263 9 0 03 Nov 2022
Selecting and Composing Learning Rate Policies for Deep Neural NetworksACM Transactions on Intelligent Systems and Technology (ACM TIST), 2022 Yanzhao Wu Ling Liu 126 32 0 24 Oct 2022
Efficient Non-Parametric Optimizer Search for Diverse TasksNeural Information Processing Systems (NeurIPS), 2022 Ruochen Wang Yuanhao Xiong Minhao Cheng Cho-Jui Hsieh 276 6 0 27 Sep 2022
Open Source Vizier: Distributed Infrastructure and API for Reliable and Flexible Blackbox Optimization Xingyou Song Sagi Perel Chansoo Lee Greg Kochanski Daniel Golovin 205 27 0 27 Jul 2022
On the benefits of non-linear weight updates Paul Norridge 105 0 0 25 Jul 2022
EASNet: Searching Elastic and Accurate Network Architecture for Stereo MatchingEuropean Conference on Computer Vision (ECCV), 2022 Qiang-qiang Wang Shaoshuai Shi Kaiyong Zhao Xiaowen Chu 118 5 0 20 Jul 2022
Learning to learn online with neuromodulated synaptic plasticity in spiking neural networksbioRxiv (bioRxiv), 2022 Samuel Schmidgall Joe Hays 268 3 0 25 Jun 2022
Finite Expression Method for Solving High-Dimensional Partial Differential Equations Senwei Liang Haizhao Yang 276 21 0 21 Jun 2022
Entangled Residual Mappings Mathias Lechner Ramin Hasani Z. Babaiee Radu Grosu Daniela Rus T. Henzinger Sepp Hochreiter 182 5 0 02 Jun 2022
Automated Dynamic Algorithm ConfigurationJournal of Artificial Intelligence Research (JAIR), 2022 Steven Adriaensen André Biedenkapp Gresa Shala Noor H. Awad Theresa Eimer Marius Lindauer Katharina Eggensperger 241 47 0 27 May 2022
AutoLossGen: Automatic Loss Function Generation for Recommender SystemsAnnual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), 2022 Zelong Li Jianchao Ji Yingqiang Ge Zelong Li OffRL 152 26 0 27 Apr 2022
Meta-AF: Meta-Learning for Adaptive FiltersIEEE/ACM Transactions on Audio Speech and Language Processing (TASLP), 2022 Jonah Casebeer Nicholas J. Bryan Paris Smaragdis 652 31 0 25 Apr 2022
AutoTS: Automatic Time Series Forecasting Model Design Based on Two-Stage Pruning Chunnan Wang Xing-Yu Chen Chen-Hung Wu Hongzhi Wang TPM AI4TS 118 7 0 26 Mar 2022
Practical tradeoffs between memory, compute, and performance in learned optimizers Luke Metz C. Freeman James Harrison Niru Maheswaranathan Jascha Narain Sohl-Dickstein 335 37 0 22 Mar 2022
Symbolic Learning to Optimize: Towards Interpretability and ScalabilityInternational Conference on Learning Representations (ICLR), 2022 Wenqing Zheng Tianlong Chen Ting-Kuei Hu Zinan Lin 349 21 0 13 Mar 2022
Optimizer AmalgamationInternational Conference on Learning Representations (ICLR), 2022 Tianshu Huang Tianlong Chen Sijia Liu Shiyu Chang Lisa Amini Zinan Lin MoMe 187 5 0 12 Mar 2022
Meta Mirror Descent: Optimiser Learning for Fast Convergence Boyan Gao Henry Gouk Haebeom Lee Timothy M. Hospedales 169 8 0 05 Mar 2022
Graph-based Neural Acceleration for Nonnegative Matrix Factorization Jens Sjölund Maria Bånkestad GNN 202 13 0 01 Feb 2022
Tutorial on amortized optimization Brandon Amos OffRL 622 70 0 01 Feb 2022
Reinforcement Learning Based Query Vertex Ordering Model for Subgraph MatchingIEEE International Conference on Data Engineering (ICDE), 2022 Hanchen Wang Ying Zhang Lu Qin Wei Wang Weinan Zhang Xuemin Lin 154 25 0 25 Jan 2022
AutoMC: Automated Model Compression based on Domain Knowledge and Progressive search strategyIEEE International Conference on Data Engineering (ICDE), 2022 Chunnan Wang Hongzhi Wang Xiangyu Shi 112 1 0 24 Jan 2022
TPAD: Identifying Effective Trajectory Predictions Under the Guidance of Trajectory Anomaly Detection Model Chunnan Wang Cheng Liang Xiang Chen Hongzhi Wang 110 1 0 09 Jan 2022
T-AutoML: Automated Machine Learning for Lesion Segmentation using Transformers in 3D Medical ImagingIEEE International Conference on Computer Vision (ICCV), 2021 Dong Yang Andriy Myronenko Xiaosong Wang Ziyue Xu H. Roth Daguang Xu ViT MedIm 3DV 143 27 0 15 Nov 2021

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Neural Optimizer Search with Reinforcement Learning

Papers citing "Neural Optimizer Search with Reinforcement Learning"