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Hyperparameter Optimization

Papers archive 2025-07-28

archive papers tagged: 813 · with a code link: 339 · where Syntology ran a sample: 90 (75 with a run with no instrument failure, 15 where every run was a failure of Syntology's instrument) Syntology

Show: all tagged papersonly where code ran (90 of 813 tagged: 75 with a run with no instrument failure, 15 where every run was a failure of Syntology's instrument)

Page 7 of 9: papers 601 to 700 of 813, in archive order: by repositories listed in the archive (most first), then newest first, not by stars (the archive holds no stars, so PwC's “Social” and “Latest” sorts cannot be reproduced). Papers that list no repository come after every paper that lists one.

Papers without a page here are shown as plain text. A Syntology line reads “N ran (of which C constructed an object rather than computing a result; K with no instrument failure: H honoured, V violated, P with no contract checked; I where Syntology's instrument failed) · U unverified”; the figure “where Syntology's instrument failed” counts failures of Syntology's instrument, not of the code. When the archive marks a repository official for the paper, the line starts with that repository's state (the archive's flag, not a verdict on who wrote the code); hover it for the repositories the samples that ran came from. Abstracts are on each paper's page.

• Fair and Green Hyperparameter Optimization via Multi-objective and Multiple Information Source Bayesian Optimization
  18 May 2022 0 repositories listed
• Hyperparameter Optimization with Neural Network Pruning
  18 May 2022 0 repositories listed
• Hyper-Learning for Gradient-Based Batch Size Adaptation
  17 May 2022 0 repositories listed
• Hybrid quantum ResNet for car classification and its hyperparameter optimization
  10 May 2022 0 repositories listed
• Region-to-region kernel interpolation of acoustic transfer function with directional weighting
  5 May 2022 0 repositories listed
• 3D Convolutional Neural Networks for Dendrite Segmentation Using Fine-Tuning and Hyperparameter Optimization
  2 May 2022 0 repositories listed
• Automatic Machine Learning for Multi-Receiver CNN Technology Classifiers
  28 Apr 2022 0 repositories listed
• Deep-Ensemble-Based Uncertainty Quantification in Spatiotemporal Graph Neural Networks for Traffic Forecasting
  4 Apr 2022 0 repositories listed
• Auto-FedRL: Federated Hyperparameter Optimization for Multi-institutional Medical Image Segmentation
  12 Mar 2022 0 repositories listed
• Automated Few-Shot Time Series Forecasting based on Bi-level Programming
  7 Mar 2022 0 repositories listed
• Practitioner Motives to Select Hyperparameter Optimization Methods
  3 Mar 2022 0 repositories listed
• Hyperparameter optimization of data-driven AI models on HPC systems
  2 Mar 2022 0 repositories listed
• A Primal-Dual Approach to Bilevel Optimization with Multiple Inner Minima
  1 Mar 2022 0 repositories listed
• DC and SA: Robust and Efficient Hyperparameter Optimization of Multi-subnetwork Deep Learning Models
  24 Feb 2022 0 repositories listed
• Short-answer scoring with ensembles of pretrained language models
  23 Feb 2022 0 repositories listed
• Random vector functional link network: recent developments, applications, and future directions
  13 Feb 2022 0 repositories listed
• Dimensional criterion for forecasting nonlinear systems by reservoir computing
  9 Feb 2022 0 repositories listed
• Review of automated time series forecasting pipelines
  3 Feb 2022 0 repositories listed
• Combined Pruning for Nested Cross-Validation to Accelerate Automated Hyperparameter Optimization for Embedded Feature Selection in High-Dimensional Data with Very Small Sample Sizes
  1 Feb 2022 0 repositories listed
• Scaling Gaussian Process Optimization by Evaluating a Few Unique Candidates Multiple Times
  30 Jan 2022 0 repositories listed
• Adaptive Optimizer for Automated Hyperparameter Optimization Problem
  28 Jan 2022 0 repositories listed
• Hyperparameter Optimization for COVID-19 Chest X-Ray Classification
  26 Jan 2022 0 repositories listed
• FRAMED: An AutoML Approach for Structural Performance Prediction of Bicycle Frames
  25 Jan 2022 0 repositories listed
• Discrete Simulation Optimization for Tuning Machine Learning Method Hyperparameters
  16 Jan 2022 0 repositories listed
• Online Calibrated and Conformal Prediction Improves Bayesian Optimization
  8 Dec 2021 0 repositories listed
• Evaluating Generic Auto-ML Tools for Computational Pathology
  7 Dec 2021 0 repositories listed
• A survey on multi-objective hyperparameter optimization algorithms for Machine Learning
  23 Nov 2021 0 repositories listed
• Dynamic-TinyBERT: Boost TinyBERT's Inference Efficiency by Dynamic Sequence Length
  18 Nov 2021 0 repositories listed
• A Simple and Fast Baseline for Tuning Large XGBoost Models
  12 Nov 2021 0 repositories listed
• Searching in the Forest for Local Bayesian Optimization
  10 Nov 2021 0 repositories listed
• The Role of Adaptive Optimizers for Honest Private Hyperparameter Selection
  9 Nov 2021 0 repositories listed
• Meta-Learning to Improve Pre-Training
  2 Nov 2021 0 repositories listed
• Concepts for Automated Machine Learning in Smart Grid Applications
  26 Oct 2021 0 repositories listed
• Evaluation of Hyperparameter-Optimization Approaches in an Industrial Federated Learning System
  15 Oct 2021 0 repositories listed
• Improving Hyperparameter Optimization by Planning Ahead
  15 Oct 2021 0 repositories listed
• Topological Data Analysis (TDA) Techniques Enhance Hand Pose Classification from ECoG Neural Recordings
  9 Oct 2021 0 repositories listed
• Combining Differential Privacy and Byzantine Resilience in Distributed SGD
  8 Oct 2021 0 repositories listed
• Online Hyperparameter Meta-Learning with Hypergradient Distillation
  6 Oct 2021 0 repositories listed
• HYPPO: A Surrogate-Based Multi-Level Parallelism Tool for Hyperparameter Optimization
  4 Oct 2021 0 repositories listed
• A Theoretical and Empirical Model of the Generalization Error under Time-Varying Learning Rate
  29 Sep 2021 0 repositories listed
• Coherence-Based Document Clustering
  29 Sep 2021 0 repositories listed
• Demystifying Hyperparameter Optimization in Federated Learning
  29 Sep 2021 0 repositories listed
• Gradient-based Hyperparameter Optimization without Validation Data for Learning fom Limited Labels
  29 Sep 2021 0 repositories listed
• πBO: Augmenting Acquisition Functions with User Beliefs for Bayesian Optimization
  29 Sep 2021 0 repositories listed
• Takeuchi's Information Criteria as Generalization Measures for DNNs Close to NTK Regime
  29 Sep 2021 0 repositories listed
• Transfer Learning for Bayesian HPO with End-to-End Meta-Features
  29 Sep 2021 0 repositories listed
• L²NAS: Learning to Optimize Neural Architectures via Continuous-Action Reinforcement Learning
  25 Sep 2021 0 repositories listed
• Distiller: A Systematic Study of Model Distillation Methods in Natural Language Processing
  23 Sep 2021 0 repositories listed
• A comparative study of six model complexity metrics to search for parsimonious models with GAparsimony R Package
  10 Sep 2021 0 repositories listed
• RF-LighGBM: A probabilistic ensemble way to predict customer repurchase behaviour in community e-commerce
  2 Sep 2021 0 repositories listed
• To tune or not to tune? An Approach for Recommending Important Hyperparameters
  30 Aug 2021 0 repositories listed
• MOFit: A Framework to reduce Obesity using Machine learning and IoT
  19 Aug 2021 0 repositories listed
• Is Differentiable Architecture Search truly a One-Shot Method?
  12 Aug 2021 0 repositories listed
• Transformers for Low-Resource Languages: Is Féidir Linn!
  1 Aug 2021 0 repositories listed
• Bilevel Optimization for Machine Learning: Algorithm Design and Convergence Analysis
  31 Jul 2021 0 repositories listed
• Enhanced Bilevel Optimization via Bregman Distance
  26 Jul 2021 0 repositories listed
• Experimental Investigation and Evaluation of Model-based Hyperparameter Optimization
  19 Jul 2021 0 repositories listed
• Hyperparameter Optimization: Foundations, Algorithms, Best Practices and Open Challenges
  13 Jul 2021 0 repositories listed
• Automated Graph Learning via Population Based Self-Tuning GCN
  9 Jul 2021 0 repositories listed
• Preconditioning for Scalable Gaussian Process Hyperparameter Optimization
  1 Jul 2021 0 repositories listed
• Tuning Mixed Input Hyperparameters on the Fly for Efficient Population Based AutoRL
  30 Jun 2021 0 repositories listed
• Using deep learning to detect patients at risk for prostate cancer despite benign biopsies
  27 Jun 2021 0 repositories listed
• Batch Multi-Fidelity Bayesian Optimization with Deep Auto-Regressive Networks
  18 Jun 2021 0 repositories listed
• Federated Hyperparameter Tuning: Challenges, Baselines, and Connections to Weight-Sharing
  8 Jun 2021 0 repositories listed
• BERT Goes Brrr: A Venture Towards the Lesser Error in Classifying Medical Self-Reporters on Twitter
  1 Jun 2021 0 repositories listed
• The Imaginative Generative Adversarial Network: Automatic Data Augmentation for Dynamic Skeleton-Based Hand Gesture and Human Action Recognition
  27 May 2021 0 repositories listed
• Techniques Toward Optimizing Viewability in RTB Ad Campaigns Using Reinforcement Learning
  21 May 2021 0 repositories listed
• Leveraging Theoretical Tradeoffs in Hyperparameter Selection for Improved Empirical Performance
  20 May 2021 0 repositories listed
• Towards Explaining Hyperparameter Optimization via Partial Dependence Plots
  20 May 2021 0 repositories listed
• Efficient Hyperparameter Optimization for Physics-based Character Animation
  26 Apr 2021 0 repositories listed
• Which Hyperparameters to Optimise? An Investigation of Evolutionary Hyperparameter Optimisation in Graph Neural Network For Molecular Property Prediction
  13 Apr 2021 0 repositories listed
• Use of static surrogates in hyperparameter optimization
  14 Mar 2021 0 repositories listed
• Convolution Neural Network Hyperparameter Optimization Using Simplified Swarm Optimization
  6 Mar 2021 0 repositories listed
• Genetic Algorithm based hyper-parameters optimization for transfer Convolutional Neural Network
  26 Feb 2021 0 repositories listed
• Mixed Variable Bayesian Optimization with Frequency Modulated Kernels
  25 Feb 2021 0 repositories listed
• A Novel Non-Invasive Estimation of Respiration Rate from Photoplethysmograph Signal Using Machine Learning Model
  18 Feb 2021 0 repositories listed
• A Near-Optimal Algorithm for Stochastic Bilevel Optimization via Double-Momentum
  15 Feb 2021 0 repositories listed
• A Systematic Comparison Study on Hyperparameter Optimisation of Graph Neural Networks for Molecular Property Prediction
  8 Feb 2021 0 repositories listed
• Hyperparameter Optimization with Differentiable Metafeatures
  7 Feb 2021 0 repositories listed
• One Size Does Not Fit All: Finding the Optimal Subword Sizes for FastText Models across Languages
  4 Feb 2021 0 repositories listed
• Incremental Search Space Construction for Machine Learning Pipeline Synthesis
  26 Jan 2021 0 repositories listed
• A Novel Genetic Algorithm with Hierarchical Evaluation Strategy for Hyperparameter Optimisation of Graph Neural Networks
  22 Jan 2021 0 repositories listed
• Few-Shot Bayesian Optimization with Deep Kernel Surrogates
  19 Jan 2021 0 repositories listed
• Optimizing Hyperparameters in CNNs using Bilevel Programming in Time Series Data
  19 Jan 2021 0 repositories listed
• Cost-Efficient Online Hyperparameter Optimization
  17 Jan 2021 0 repositories listed
• Hyperboost: Hyperparameter Optimization by Gradient Boosting surrogate models
  6 Jan 2021 0 repositories listed
• ECG-Based Driver Stress Levels Detection System Using Hyperparameter Optimization
  1 Jan 2021 0 repositories listed
• ECONOMIC HYPERPARAMETER OPTIMIZATION WITH BLENDED SEARCH STRATEGY
  1 Jan 2021 0 repositories listed
• Optimal Designs of Gaussian Processes with Budgets for Hyperparameter Optimization
  1 Jan 2021 0 repositories listed
• Recycling sub-optimial Hyperparameter Optimization models to generate efficient Ensemble Deep Learning
  1 Jan 2021 0 repositories listed
• Regularization Cocktails
  1 Jan 2021 0 repositories listed
• Efficient Automatic CASH via Rising Bandits
  8 Dec 2020 0 repositories listed
• Adaptive Local Bayesian Optimization Over Multiple Discrete Variables
  7 Dec 2020 0 repositories listed
• Learning to Mutate with Hypergradient Guided Population
  1 Dec 2020 0 repositories listed
• Sentence Transformers and Bayesian Optimization for Adverse Drug Effect Detection from Twitter
  1 Dec 2020 0 repositories listed
• The Statistical Cost of Robust Kernel Hyperparameter Turning
  1 Dec 2020 0 repositories listed
• Omni: Automated Ensemble with Unexpected Models against Adversarial Evasion Attack
  23 Nov 2020 0 repositories listed
• Adversarial Training for EM Classification Networks
  20 Nov 2020 0 repositories listed
• Long Short Term Memory Networks for Bandwidth Forecasting in Mobile Broadband Networks under Mobility
  20 Nov 2020 0 repositories listed
• MOFA: Modular Factorial Design for Hyperparameter Optimization
  18 Nov 2020 0 repositories listed