Deep Architecture Connectivity Matters for Its Convergence: A Fine-Grained Analysis May 11, 2022 AutoML Neural Architecture Search
Code Code Available 5 An Adaptive and Near Parameter-free Evolutionary Computation Approach Towards True Automation in AutoML Jan 28, 2020 AutoML
Code Code Available 5 Improving Neural Networks for Time Series Forecasting using Data Augmentation and AutoML Mar 2, 2021 AutoML BIG-bench Machine Learning
Code Code Available 5 Improving the sample-efficiency of neural architecture search with reinforcement learning Oct 13, 2021 AutoML Deep Learning
Code Code Available 5 Investigating the Impact of Hard Samples on Accuracy Reveals In-class Data Imbalance Sep 22, 2024 AutoML Benchmarking
Code Code Available 5 Improve Deep Forest with Learnable Layerwise Augmentation Policy Schedule Sep 16, 2023 AutoML Data Augmentation
Code Code Available 5 ATMSeer: Increasing Transparency and Controllability in Automated Machine Learning Feb 13, 2019 AutoML BIG-bench Machine Learning
Code Code Available 5 Improved Training Speed, Accuracy, and Data Utilization Through Loss Function Optimization May 27, 2019 AutoML image-classification
Code Code Available 5 Efficient Deep Learning Board: Training Feedback Is Not All You Need Oct 17, 2024 All AutoML
Code Code Available 5 Imbalanced-learn: A Python Toolbox to Tackle the Curse of Imbalanced Datasets in Machine Learning Sep 21, 2016 AutoML BIG-bench Machine Learning
Code Code Available 5 Efficient Automatic Machine Learning via Design Graphs Oct 21, 2022 AutoML Graph Classification
Code Code Available 5 Imbalanced Regression Pipeline Recommendation Jul 16, 2025 AutoML Meta-Learning
Code Code Available 5 Improvement of Computational Performance of Evolutionary AutoML in a Heterogeneous Environment Jan 12, 2023 AutoML
Code Code Available 5 AutoML: Exploration v.s. Exploitation Dec 23, 2019 AutoML Meta-Learning
Code Code Available 5 ATM: A distributed, collaborative, scalable system for automated machine learning Dec 11, 2017 AutoML BIG-bench Machine Learning
Code Code Available 5 Hyperopt-Sklearn: Automatic Hyperparameter Configuration for Scikit-Learn Jan 1, 2014 AutoML Benchmarking
Code Code Available 5 AM-LFS: AutoML for Loss Function Search May 17, 2019 AutoML
Code Code Available 5 Hyperparameter Importance Analysis for Multi-Objective AutoML May 13, 2024 AutoML Hyperparameter Optimization
Code Code Available 5 Mithridates: Auditing and Boosting Backdoor Resistance of Machine Learning Pipelines Feb 9, 2023 AutoML Federated Learning
Code Code Available 5 Do We Really Need Imputation in AutoML Predictive Modeling? Apr 12, 2024 Automatic Machine Learning Model Selection AutoML
Code Code Available 5 Assembled-OpenML: Creating Efficient Benchmarks for Ensembles in AutoML with OpenML Jul 1, 2023 AutoML Prediction
Code Code Available 5 Google Vizier: A Service for Black-Box Optimization Jan 1, 2017 AutoML BIG-bench Machine Learning
Code Code Available 5 Flow-of-Options: Diversified and Improved LLM Reasoning by Thinking Through Options Feb 18, 2025 AutoML Diversity
Code Code Available 5 How Powerful are Performance Predictors in Neural Architecture Search? Apr 2, 2021 AutoML Neural Architecture Search
Code Code Available 5 Hyperparameters in Reinforcement Learning and How To Tune Them Jun 2, 2023 AutoML Deep Reinforcement Learning
Code Code Available 5 Fast and Informative Model Selection using Learning Curve Cross-Validation Nov 27, 2021 AutoML Model Selection
Code Code Available 5 DiffPrep: Differentiable Data Preprocessing Pipeline Search for Learning over Tabular Data Aug 20, 2023 AutoML
Code Code Available 5 Fair DARTS: Eliminating Unfair Advantages in Differentiable Architecture Search Nov 27, 2019 AutoML Neural Architecture Search
Code Code Available 5 Fast, Accurate, and Simple Models for Tabular Data via Augmented Distillation Jun 25, 2020 AutoML Data Augmentation
Code Code Available 5 Exploring the Determinants of Pedestrian Crash Severity Using an AutoML Approach Jun 7, 2024 AutoML
Code Code Available 5 Evolution of Scikit-Learn Pipelines with Dynamic Structured Grammatical Evolution Apr 1, 2020 AutoML BIG-bench Machine Learning
Code Code Available 5 Efficient and Joint Hyperparameter and Architecture Search for Collaborative Filtering Jul 12, 2023 AutoML Collaborative Filtering
Code Code Available 5 Large Language Model-Enhanced Algorithm Selection: Towards Comprehensive Algorithm Representation Nov 22, 2023 AutoML feature selection
Code Code Available 5 Exploring Robust Architectures for Deep Artificial Neural Networks Jun 30, 2021 AutoML image-classification
Code Code Available 5 Estimating optical vegetation indices and biophysical variables for temperate forests with Sentinel-1 SAR data using machine learning techniques: A case study for Czechia Nov 13, 2023 AutoML Time Series
Code Code Available 5 Automatic selection of clustering algorithms using supervised graph embedding Nov 16, 2020 AutoML Clustering
Code Code Available 5 Evaluation of a Tree-based Pipeline Optimization Tool for Automating Data Science Mar 20, 2016 Automated Feature Engineering AutoML
Code Code Available 5 DDPNAS: Efficient Neural Architecture Search via Dynamic Distribution Pruning May 28, 2019 AutoML GPU
Code Code Available 5 Evolutionary Architecture Search for Graph Neural Networks Sep 21, 2020 AutoML Neural Architecture Search
Code Code Available 5 Automatic Gradient Boosting Jul 10, 2018 AutoML BIG-bench Machine Learning
Code Code Available 5 A Scalable AutoML Approach Based on Graph Neural Networks Oct 29, 2021 AutoML Graph Generation
Code Code Available 5 DeepFreak: Learning Crystallography Diffraction Patterns with Automated Machine Learning Apr 26, 2019 AutoML BIG-bench Machine Learning
Code Code Available 5 Encoding high-cardinality string categorical variables Jul 3, 2019 AutoML Feature Engineering
Code Code Available 5 Fix Fairness, Don't Ruin Accuracy: Performance Aware Fairness Repair using AutoML Jun 15, 2023 AutoML Decision Making
Code Code Available 5 AutoML for Multi-Class Anomaly Compensation of Sensor Drift Feb 26, 2025 AutoML Ensemble Learning
Code Code Available 5 Identifying and Harnessing the Building Blocks of Machine Learning Pipelines for Sensible Initialization of a Data Science Automation Tool Jul 29, 2016 AutoML BIG-bench Machine Learning
Code Code Available 5 Efficient Non-Parametric Optimizer Search for Diverse Tasks Sep 27, 2022 AutoML Math
Code Code Available 5 Neuraxle - A Python Framework for Neat Machine Learning Pipelines Sep 1, 2019 AutoML BIG-bench Machine Learning
Code Code Available 5 Automatic Discovery of Heterogeneous Machine Learning Pipelines: An Application to Natural Language Processing Dec 1, 2020 AutoML BIG-bench Machine Learning
— Unverified 0 Automatic deep learning for trend prediction in time series data Sep 17, 2020 AutoML Deep Learning
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