Hyper-Parameter Optimization: A Review of Algorithms and Applications

12 March 2020

Papers citing "Hyper-Parameter Optimization: A Review of Algorithms and Applications"

34 / 34 papers shown

Title
ChannelExplorer: Exploring Class Separability Through Activation Channel Visualization Md Rahat-uz- Zaman Bei Wang Paul Rosen 21 0 0 06 May 2025
COSMOS: Predictable and Cost-Effective Adaptation of LLMs Jiayu Wang Aws Albarghouthi Frederic Sala 47 0 0 30 Apr 2025
Which Agent Causes Task Failures and When? On Automated Failure Attribution of LLM Multi-Agent Systems Shaokun Zhang Ming Yin Jieyu Zhang J. H. Liu Zhiguang Han ... Beibin Li Chi Wang H. Wang Y. Chen Qingyun Wu 49 0 0 30 Apr 2025
Advancing MAPF towards the Real World: A Scalable Multi-Agent Realistic Testbed (SMART) Jingtian Yan Zhifei Li William Kang Yulun Zhang Stephen Smith Jiaoyang Li 43 0 0 03 Mar 2025
Tuning Algorithmic and Architectural Hyperparameters in Graph-Based Semi-Supervised Learning with Provable Guarantees Ally Yalei Du Eric Huang Dravyansh Sharma 56 0 0 18 Feb 2025
A Unified Hyperparameter Optimization Pipeline for Transformer-Based Time Series Forecasting Models Jingjing Xu Caesar Wu Yuan-Fang Li Grégoire Danoy Pascal Bouvry TPM AI4TS 42 0 0 03 Jan 2025
Tune without Validation: Searching for Learning Rate and Weight Decay on Training Sets Lorenzo Brigato S. Mougiakakou 34 0 0 08 Mar 2024
Parallel Hyperparameter Optimization Of Spiking Neural Network Thomas Firmin Pierre Boulet El-Ghazali Talbi 30 3 0 01 Mar 2024
Trust Regions for Explanations via Black-Box Probabilistic Certification Amit Dhurandhar Swagatam Haldar Dennis L. Wei K. Ramamurthy FAtt 21 2 0 17 Feb 2024
Large Language Model Agent for Hyper-Parameter Optimization Siyi Liu Chen Gao Yong Li 46 19 0 02 Feb 2024
What Can AutoML Do For Continual Learning? Mert Kilickaya Joaquin Vanschoren 30 1 0 20 Nov 2023
Soundbay: Deep Learning Framework for Marine Mammals and Bioacoustic Research Noam Bressler Michael Faran Amit Galor Michael Moshe Michelashvili Tomer Nachshon Noa Weiss 28 0 0 07 Nov 2023
Robustness of Algorithms for Causal Structure Learning to Hyperparameter Choice Damian Machlanski Spyridon Samothrakis Paul Clarke CML 36 1 0 27 Oct 2023
Solving Expensive Optimization Problems in Dynamic Environments with Meta-learning Huan Zhang Jinliang Ding Liang Feng Kay Chen Tan Ke Li 29 3 0 19 Oct 2023
Robust Twin Parametric Margin Support Vector Machine for Multiclass Classification R. Leone Francesca Maggioni Andrea Spinelli 8 4 0 09 Jun 2023
Intelligent Proactive Fault Tolerance at the Edge through Resource Usage Prediction Theodoros Theodoropoulos John Violos Stylianos Tsanakas Aris Leivadeas Konstantinos Tserpes T. Varvarigou 8 7 0 09 Feb 2023
Adaptation of Autoencoder for Sparsity Reduction From Clinical Notes Representation Learning Thanh-Dung Le R. Noumeir J. Rambaud Guillaume Sans P. Jouvet 30 7 0 26 Sep 2022
Batch Layer Normalization, A new normalization layer for CNNs and RNN A. Ziaee Erion cCano 6 12 0 19 Sep 2022
Hyperparameter Optimization of Generative Adversarial Network Models for High-Energy Physics Simulations Vincent Dumont X. Ju Juliane Mueller AI4CE 25 4 0 12 Aug 2022
Open Source Vizier: Distributed Infrastructure and API for Reliable and Flexible Blackbox Optimization Xingyou Song Sagi Perel Chansoo Lee Greg Kochanski Daniel Golovin 29 26 0 27 Jul 2022
Learning Optimal Solutions via an LSTM-Optimization Framework Dogacan Yilmaz I. E. Büyüktahtakin 14 10 0 06 Jul 2022
STC-IDS: Spatial-Temporal Correlation Feature Analyzing based Intrusion Detection System for Intelligent Connected Vehicles Pengzhou Cheng Mu Han Aoxue Li Fengwei Zhang 8 22 0 23 Apr 2022
A Comprehensive Survey on Automated Machine Learning for Recommendations Bo Chen Xiangyu Zhao Yejing Wang Wenqi Fan Huifeng Guo Ruiming Tang AI4TS 23 6 0 04 Apr 2022
A Survey of Methods for Automated Algorithm Configuration Elias Schede Jasmin Brandt Alexander Tornede Marcel Wever Viktor Bengs Eyke Hüllermeier Kevin Tierney 16 48 0 03 Feb 2022
Automated Deep Learning: Neural Architecture Search Is Not the End Xuanyi Dong D. Kedziora Katarzyna Musial Bogdan Gabrys 25 26 0 16 Dec 2021
Leveraging the Graph Structure of Neural Network Training Dynamics Fatemeh Vahedian Ruiyu Li Puja Trivedi Di Jin Danai Koutra AI4CE GNN 19 3 0 09 Nov 2021
A Model-Agnostic Algorithm for Bayes Error Determination in Binary Classification Umberto Michelucci Michela Sperti Dario Piga F. Venturini M. Deriu 11 5 0 24 Jul 2021
Efficient Deep Learning: A Survey on Making Deep Learning Models Smaller, Faster, and Better Gaurav Menghani VLM MedIm 23 365 0 16 Jun 2021
NavTuner: Learning a Scene-Sensitive Family of Navigation Policies Haoxin Ma Justin S. Smith Patricio A. Vela 12 4 0 02 Mar 2021
ASFGNN: Automated Separated-Federated Graph Neural Network Longfei Zheng Jun Zhou Chaochao Chen Bingzhe Wu L. xilinx Wang Benyu Zhang FedML GNN 23 70 0 06 Nov 2020
Bilevel Optimization: Convergence Analysis and Enhanced Design Kaiyi Ji Junjie Yang Yingbin Liang 26 244 0 15 Oct 2020
AutoML: A Survey of the State-of-the-Art Xin He Kaiyong Zhao X. Chu 17 1,418 0 02 Aug 2019
Neural Architecture Search with Reinforcement Learning Barret Zoph Quoc V. Le 264 5,326 0 05 Nov 2016
Improving neural networks by preventing co-adaptation of feature detectors Geoffrey E. Hinton Nitish Srivastava A. Krizhevsky Ilya Sutskever Ruslan Salakhutdinov VLM 266 7,634 0 03 Jul 2012