Communities
Connect sessions
AI calendar
Organizations
Join Slack
Contact Sales
Search
Open menu
Home
Papers
1709.07417
Cited By
v1
v2 (latest)
Neural Optimizer Search with Reinforcement Learning
21 September 2017
Irwan Bello
Barret Zoph
Vijay Vasudevan
Quoc V. Le
ODL
Re-assign community
ArXiv (abs)
PDF
HTML
Papers citing
"Neural Optimizer Search with Reinforcement Learning"
50 / 163 papers shown
Efficient Eye-based Emotion Recognition via Neural Architecture Search of Time-to-First-Spike-Coded Spiking Neural Networks
Qianhui Liu
Jing Yang
Miao Yu
Trevor E. Carlson
Gang Pan
Haizhou Li
Zhumin Chen
56
0
0
02 Dec 2025
Towards Explainable Personalized Recommendations by Learning from Users' Photos
Information Sciences (Inf. Sci.), 2020
Jorge Díez
Pablo Pérez-Núñez
Oscar Luaces
Beatriz Remeseiro
Antonio Bahamonde
HAI
64
29
0
24 Oct 2025
Sequential Policy Gradient for Adaptive Hyperparameter Optimization
Zheng Li
Jerry Q. Cheng
Huanying Gu
OffRL
191
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
272
0
0
16 May 2025
Learning to Reason from Feedback at Test-Time
Annual Meeting of the Association for Computational Linguistics (ACL), 2025
Yanyang Li
Michael R. Lyu
Liwei Wang
LRM
338
9
0
16 Feb 2025
Lightweight Design and Optimization methods for DCNNs: Progress and Futures
Hanhua Long
Wenbin Bi
Jian Sun
241
1
0
22 Dec 2024
Efficient Pretraining Data Selection for Language Models via Multi-Actor Collaboration
Annual 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
385
6
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
298
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
277
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
227
0
0
06 May 2024
Neural Optimizer Equation, Decay Function, and Learning Rate Schedule Joint Evolution
Annual Conference on Genetic and Evolutionary Computation (GECCO), 2024
Brandon Morgan
Dean Frederick Hougen
ODL
257
0
0
10 Apr 2024
Dynamic Memory Based Adaptive Optimization
Balázs Szegedy
Domonkos Czifra
Péter Korösi-Szabó
ODL
266
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
185
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
356
9
0
04 Feb 2024
Neural Loss Function Evolution for Large-Scale Image Classifier Convolutional Neural Networks
Brandon Morgan
Dean Frederick Hougen
130
4
0
30 Jan 2024
Automatic Generators for a Family of Matrix Multiplication Routines with Apache TVM
ACM Transactions on Mathematical Software (TOMS), 2023
Guillermo Alaejos
Adrián Castelló
P. Alonso-Jordá
Francisco D. Igual
Héctor J. Martínez
Enrique S. Quintana-Ortí
122
6
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
253
2
0
27 Oct 2023
Lion Secretly Solves Constrained Optimization: As Lyapunov Predicts
Lizhang Chen
Bo Liu
Kaizhao Liang
Qian Liu
ODL
431
28
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
147
1
0
29 May 2023
DAC-MR: Data Augmentation Consistency Based Meta-Regularization for Meta-Learning
Jun Shu
Xiang Yuan
Deyu Meng
Zongben Xu
283
5
0
13 May 2023
B2Opt: Learning to Optimize Black-box Optimization with Little Budget
AAAI Conference on Artificial Intelligence (AAAI), 2023
Xiaobin Li
K. Wu
Xiaoyu Zhang
Handing Wang
Qingbin Liu
215
17
0
24 Apr 2023
Learning To Optimize Quantum Neural Network Without Gradients
International Conference on Quantum Computing and Engineering (QCE), 2023
Ankit Kulshrestha
Xiaoyuan Liu
Hayato Ushijima-Mwesigwa
Ilya Safro
154
8
0
15 Apr 2023
MSINet: Twins Contrastive Search of Multi-Scale Interaction for Object ReID
Computer 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
165
67
0
13 Mar 2023
Enhancing Machine Learning Model Performance with Hyper Parameter Optimization: A Comparative Study
C. Erden
Halil Ibrahim Demir
Abdullah Hulusi Kokccam
96
7
0
14 Feb 2023
Symbolic Discovery of Optimization Algorithms
Neural 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
769
513
0
13 Feb 2023
Federated Automatic Differentiation
Keith Rush
Zachary B. Charles
Zachary Garrett
FedML
279
1
0
18 Jan 2023
Learning to Optimize in Model Predictive Control
IEEE International Conference on Robotics and Automation (ICRA), 2022
Jacob Sacks
Byron Boots
207
26
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
310
75
0
17 Nov 2022
Construction of Hierarchical Neural Architecture Search Spaces based on Context-free Grammars
Neural Information Processing Systems (NeurIPS), 2022
Simon Schrodi
Daniel Stoll
Binxin Ru
R. Sukthanker
Thomas Brox
Katharina Eggensperger
298
9
0
03 Nov 2022
Selecting and Composing Learning Rate Policies for Deep Neural Networks
ACM Transactions on Intelligent Systems and Technology (ACM TIST), 2022
Yanzhao Wu
Ling Liu
130
34
0
24 Oct 2022
Efficient Non-Parametric Optimizer Search for Diverse Tasks
Neural Information Processing Systems (NeurIPS), 2022
Ruochen Wang
Yuanhao Xiong
Minhao Cheng
Cho-Jui Hsieh
324
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
267
27
0
27 Jul 2022
On the benefits of non-linear weight updates
Paul Norridge
149
0
0
25 Jul 2022
EASNet: Searching Elastic and Accurate Network Architecture for Stereo Matching
European Conference on Computer Vision (ECCV), 2022
Qiang-qiang Wang
Shaoshuai Shi
Kaiyong Zhao
Xiaowen Chu
142
6
0
20 Jul 2022
Learning to learn online with neuromodulated synaptic plasticity in spiking neural networks
bioRxiv (bioRxiv), 2022
Samuel Schmidgall
Joe Hays
316
3
0
25 Jun 2022
Finite Expression Method for Solving High-Dimensional Partial Differential Equations
Senwei Liang
Haizhao Yang
370
21
0
21 Jun 2022
Entangled Residual Mappings
Mathias Lechner
Ramin Hasani
Z. Babaiee
Radu Grosu
Daniela Rus
T. Henzinger
Sepp Hochreiter
226
5
0
02 Jun 2022
Automated Dynamic Algorithm Configuration
Journal of Artificial Intelligence Research (JAIR), 2022
Steven Adriaensen
André Biedenkapp
Gresa Shala
Noor H. Awad
Theresa Eimer
Marius Lindauer
Katharina Eggensperger
285
49
0
27 May 2022
AutoLossGen: Automatic Loss Function Generation for Recommender Systems
Annual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), 2022
Zelong Li
Jianchao Ji
Yingqiang Ge
Zelong Li
OffRL
189
26
0
27 Apr 2022
Meta-AF: Meta-Learning for Adaptive Filters
IEEE/ACM Transactions on Audio Speech and Language Processing (TASLP), 2022
Jonah Casebeer
Nicholas J. Bryan
Paris Smaragdis
768
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
174
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
391
37
0
22 Mar 2022
Symbolic Learning to Optimize: Towards Interpretability and Scalability
International Conference on Learning Representations (ICLR), 2022
Wenqing Zheng
Tianlong Chen
Ting-Kuei Hu
Zinan Lin
457
21
0
13 Mar 2022
Optimizer Amalgamation
International Conference on Learning Representations (ICLR), 2022
Tianshu Huang
Tianlong Chen
Sijia Liu
Shiyu Chang
Lisa Amini
Zinan Lin
MoMe
231
5
0
12 Mar 2022
Meta Mirror Descent: Optimiser Learning for Fast Convergence
Boyan Gao
Henry Gouk
Haebeom Lee
Timothy M. Hospedales
201
8
0
05 Mar 2022
Graph-based Neural Acceleration for Nonnegative Matrix Factorization
Jens Sjölund
Maria Bånkestad
GNN
238
13
0
01 Feb 2022
Tutorial on amortized optimization
Brandon Amos
OffRL
806
76
0
01 Feb 2022
Reinforcement Learning Based Query Vertex Ordering Model for Subgraph Matching
IEEE International Conference on Data Engineering (ICDE), 2022
Hanchen Wang
Ying Zhang
Lu Qin
Wei Wang
Weinan Zhang
Xuemin Lin
202
25
0
25 Jan 2022
AutoMC: Automated Model Compression based on Domain Knowledge and Progressive search strategy
IEEE International Conference on Data Engineering (ICDE), 2022
Chunnan Wang
Hongzhi Wang
Xiangyu Shi
136
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
154
1
0
09 Jan 2022
1
2
3
4
Next
