Browse State-of-the-Art › Hyperparameter Optimization › Papers, page 5
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 5 of 9: papers 401 to 500 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.
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Exploring the Manifold of Neural Networks Using Diffusion Geometry19 Nov 2024 0 repositories listed
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Different Horses for Different Courses: Comparing Bias Mitigation Algorithms in ML17 Nov 2024 0 repositories listed
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Cross Space and Time: A Spatio-Temporal Unitized Model for Traffic Flow Forecasting14 Nov 2024 0 repositories listed
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Scientific machine learning in ecological systems: A study on the predator-prey dynamics11 Nov 2024 0 repositories listed
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Computation-Aware Gaussian Processes: Model Selection And Linear-Time Inference1 Nov 2024 0 repositories listed
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EARL-BO: Reinforcement Learning for Multi-Step Lookahead, High-Dimensional Bayesian Optimization31 Oct 2024 0 repositories listed
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Hyperparameter Optimization in Machine Learning30 Oct 2024 0 repositories listed
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How Important are Data Augmentations to Close the Domain Gap for Object Detection in Orbit?21 Oct 2024 0 repositories listed
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A comparative study of NeuralODE and Universal ODE approaches to solving Chandrasekhar White Dwarf equation19 Oct 2024 0 repositories listed
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Testing the Efficacy of Hyperparameter Optimization Algorithms in Short-Term Load Forecasting19 Oct 2024 0 repositories listed
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A Stochastic Approach to Bi-Level Optimization for Hyperparameter Optimization and Meta Learning14 Oct 2024 0 repositories listed
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OWPCP: A Deep Learning Model to Predict Octanol-Water Partition Coefficient10 Oct 2024 0 repositories listed
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Q-SCALE: Quantum computing-based Sensor Calibration for Advanced Learning and Efficiency3 Oct 2024 0 repositories listed
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Automated Disease Diagnosis in Pumpkin Plants Using Advanced CNN Models29 Sep 2024 0 repositories listed
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A Survey on Neural Architecture Search Based on Reinforcement Learning26 Sep 2024 0 repositories listed
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Online Nonconvex Bilevel Optimization with Bregman Divergences16 Sep 2024 0 repositories listed
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Learning Rate Optimization for Deep Neural Networks Using Lipschitz Bandits15 Sep 2024 0 repositories listed
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Cross-Entropy Optimization for Hyperparameter Optimization in Stochastic Gradient-based Approaches to Train Deep Neural Networks14 Sep 2024 0 repositories listed
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MoistNet: Machine Vision-based Deep Learning Models for Wood Chip Moisture Content Measurement7 Sep 2024 0 repositories listed
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Optimizing Mortality Prediction for ICU Heart Failure Patients: Leveraging XGBoost and Advanced Machine Learning with the MIMIC-III Database3 Sep 2024 0 repositories listed
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FastBO: Fast HPO and NAS with Adaptive Fidelity Identification1 Sep 2024 0 repositories listed
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Structuring a Training Strategy to Robustify Perception Models with Realistic Image Augmentations30 Aug 2024 0 repositories listed
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A Comparative Study of Hyperparameter Tuning Methods29 Aug 2024 0 repositories listed
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A Web-Based Solution for Federated Learning with LLM-Based Automation23 Aug 2024 0 repositories listed
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Flexora: Flexible Low Rank Adaptation for Large Language Models20 Aug 2024 0 repositories listed
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Gravix: Active Learning for Gravitational Waves Classification Algorithms18 Aug 2024 0 repositories listed
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Towards Fair and Rigorous Evaluations: Hyperparameter Optimization for Top-N Recommendation Task with Implicit Feedback14 Aug 2024 0 repositories listed
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Exploiting Hankel-Toeplitz Structures for Fast Computation of Kernel Precision Matrices5 Aug 2024 0 repositories listed
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The Impact of Hyperparameters on Large Language Model Inference Performance: An Evaluation of vLLM and HuggingFace Pipelines2 Aug 2024 0 repositories listed
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Be aware of overfitting by hyperparameter optimization!30 Jul 2024 0 repositories listed
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Quantile Learn-Then-Test: Quantile-Based Risk Control for Hyperparameter Optimization24 Jul 2024 0 repositories listed
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Hyperparameter Optimization for Driving Strategies Based on Reinforcement Learning19 Jul 2024 0 repositories listed
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Crafting Efficient Fine-Tuning Strategies for Large Language Models18 Jul 2024 0 repositories listed
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A Hitchhiker's Guide to Deep Chemical Language Processing for Bioactivity Prediction16 Jul 2024 0 repositories listed
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Impacts of Data Preprocessing and Hyperparameter Optimization on the Performance of Machine Learning Models Applied to Intrusion Detection Systems15 Jul 2024 0 repositories listed
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Automated Computational Energy Minimization of ML Algorithms using Constrained Bayesian Optimization8 Jul 2024 0 repositories listed
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Variational and Explanatory Neural Networks for Encoding Cancer Profiles and Predicting Drug Responses5 Jul 2024 0 repositories listed
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Scalable Nested Optimization for Deep Learning1 Jul 2024 0 repositories listed
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Enhancing supply chain security with automated machine learning19 Jun 2024 0 repositories listed
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Under the Hood of Tabular Data Generation Models: Benchmarks with Extensive Tuning18 Jun 2024 0 repositories listed
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Analysing Multi-Task Regression via Random Matrix Theory with Application to Time Series Forecasting14 Jun 2024 0 repositories listed
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Optimizing Deep Reinforcement Learning for Adaptive Robotic Arm Control12 Jun 2024 0 repositories listed
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Scalable Training of Trustworthy and Energy-Efficient Predictive Graph Foundation Models for Atomistic Materials Modeling: A Case Study with HydraGNN12 Jun 2024 0 repositories listed
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FunBO: Discovering Acquisition Functions for Bayesian Optimization with FunSearch7 Jun 2024 0 repositories listed
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Non-uniformity is All You Need: Efficient and Timely Encrypted Traffic Classification With ECHO3 Jun 2024 0 repositories listed
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Gated recurrent neural network with TPE Bayesian optimization for enhancing stock index prediction accuracy2 Jun 2024 0 repositories listed
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Cost-Sensitive Multi-Fidelity Bayesian Optimization with Transfer of Learning Curve Extrapolation28 May 2024 0 repositories listed
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Derivatives of Stochastic Gradient Descent in parametric optimization24 May 2024 0 repositories listed
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A Trajectory-Based Bayesian Approach to Multi-Objective Hyperparameter Optimization with Epoch-Aware Trade-Offs24 May 2024 0 repositories listed
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Restless Bandit Problem with Rewards Generated by a Linear Gaussian Dynamical System15 May 2024 0 repositories listed
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Automating Code Adaptation for MLOps -- A Benchmarking Study on LLMs10 May 2024 0 repositories listed
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Transductive Spiking Graph Neural Networks for Loihi25 Apr 2024 0 repositories listed
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Self-adaptive PSRO: Towards an Automatic Population-based Game Solver17 Apr 2024 0 repositories listed
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Hyperparameter Optimization for SecureBoost via Constrained Multi-Objective Federated Learning6 Apr 2024 0 repositories listed
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Rolling the dice for better deep learning performance: A study of randomness techniques in deep neural networks5 Apr 2024 0 repositories listed
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The Unreasonable Effectiveness Of Early Discarding After One Epoch In Neural Network Hyperparameter Optimization5 Apr 2024 0 repositories listed
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Towards Leveraging AutoML for Sustainable Deep Learning: A Multi-Objective HPO Approach on Deep Shift Neural Networks2 Apr 2024 0 repositories listed
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Simple Hack for Transformers against Heavy Long-Text Classification on a Time- and Memory-Limited GPU Service19 Mar 2024 0 repositories listed
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Large Language Models to Generate System-Level Test Programs Targeting Non-functional Properties15 Mar 2024 0 repositories listed
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Breast Cancer Classification Using Gradient Boosting Algorithms Focusing on Reducing the False Negative and SHAP for Explainability14 Mar 2024 0 repositories listed
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Data augmentation with automated machine learning: approaches and performance comparison with classical data augmentation methods13 Mar 2024 0 repositories listed
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Better Understandings and Configurations in MaxSAT Local Search Solvers via Anytime Performance Analysis11 Mar 2024 0 repositories listed
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Adaptive Hyperparameter Optimization for Continual Learning Scenarios9 Mar 2024 0 repositories listed
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A machine learning workflow to address credit default prediction6 Mar 2024 0 repositories listed
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Statistical Mechanics of Dynamical System Identification4 Mar 2024 0 repositories listed
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Transformers for Low-Resource Languages:Is Féidir Linn!4 Mar 2024 0 repositories listed
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Exploratory Landscape Analysis for Mixed-Variable Problems26 Feb 2024 0 repositories listed
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FlexHB: a More Efficient and Flexible Framework for Hyperparameter Optimization21 Feb 2024 0 repositories listed
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Universal Link Predictor By In-Context Learning on Graphs12 Feb 2024 0 repositories listed
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Glocal Hypergradient Estimation with Koopman Operator5 Feb 2024 0 repositories listed
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Poisson Process for Bayesian Optimization5 Feb 2024 0 repositories listed
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Breaking MLPerf Training: A Case Study on Optimizing BERT4 Feb 2024 0 repositories listed
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Large Language Model Agent for Hyper-Parameter Optimization2 Feb 2024 0 repositories listed
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Regularized boosting with an increasing coefficient magnitude stop criterion as meta-learner in hyperparameter optimization stacking ensemble2 Feb 2024 0 repositories listed
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Scilab-RL: A software framework for efficient reinforcement learning and cognitive modeling research25 Jan 2024 0 repositories listed
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A Unified Gaussian Process for Branching and Nested Hyperparameter Optimization19 Jan 2024 0 repositories listed
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Adaptive Regret for Bandits Made Possible: Two Queries Suffice17 Jan 2024 0 repositories listed
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Hypercomplex neural network in time series forecasting of stock data9 Jan 2024 0 repositories listed
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Flying By ML -- CNN Inversion of Affine Transforms22 Dec 2023 0 repositories listed
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Tuning the activation function to optimize the forecast horizon of a reservoir computer20 Dec 2023 0 repositories listed
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Provably Convergent Federated Trilevel Learning19 Dec 2023 0 repositories listed
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Can LLMs Configure Software Tools11 Dec 2023 0 repositories listed
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Composite Survival Analysis: Learning with Auxiliary Aggregated Baselines and Survival Scores10 Dec 2023 0 repositories listed
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Hyperparameter Optimization for Large Language Model Instruction-Tuning1 Dec 2023 0 repositories listed
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Model Performance Prediction for Hyperparameter Optimization of Deep Learning Models Using High Performance Computing and Quantum Annealing29 Nov 2023 0 repositories listed
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Two Scalable Approaches for Burned-Area Mapping Using U-Net and Landsat Imagery29 Nov 2023 0 repositories listed
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A systematic study comparing hyperparameter optimization engines on tabular data27 Nov 2023 0 repositories listed
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On the Hyperparameter Loss Landscapes of Machine Learning Models: An Exploratory Study23 Nov 2023 0 repositories listed
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On the Communication Complexity of Decentralized Bilevel Optimization19 Nov 2023 0 repositories listed
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Xputer: Bridging Data Gaps with NMF, XGBoost, and a Streamlined GUI Experience16 Nov 2023 0 repositories listed
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A Single-Loop Algorithm for Decentralized Bilevel Optimization15 Nov 2023 0 repositories listed
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AutoML for Large Capacity Modeling of Meta's Ranking Systems14 Nov 2023 0 repositories listed
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Impact of HPO on AutoML Forecasting Ensembles7 Nov 2023 0 repositories listed
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Saturn: Efficient Multi-Large-Model Deep Learning6 Nov 2023 0 repositories listed
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Predicting Ground Reaction Force from Inertial Sensors4 Nov 2023 0 repositories listed
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Quantum Long Short-Term Memory (QLSTM) vs Classical LSTM in Time Series Forecasting: A Comparative Study in Solar Power Forecasting25 Oct 2023 0 repositories listed
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Hyperparameter optimization of hp-greedy reduced basis for gravitational wave surrogates23 Oct 2023 0 repositories listed
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Scrap Your Schedules with PopDescent23 Oct 2023 0 repositories listed
Syntology lines on 2 of the papers shown; no Syntology record for the others (a paper without an arXiv id cannot be joined to the graph, and absence from the graph layer is not a recorded non-run). “Ran” means the sample executed on a synthesized fixture, not that the paper's result was reproduced; each line links to that paper's sample list. Syntology's record for this page has not changed since , the first build that kept a record date for it; when this build read Syntology's graph is in the build record. For agents: get_harvested_code_for_paper(arxiv_id) lists each paper's samples; how to connect.