| Adaptive Generation Model: A New Ensemble Method | Sep 14, 2020 | BIG-bench Machine LearningEnsemble Learning | —Unverified | 0 | 0 |
| Adaptive Learned Bloom Filter (Ada-BF): Efficient Utilization of the Classifier | Oct 21, 2019 | BIG-bench Machine Learning | —Unverified | 0 | 0 |
| Adaptive Learned Bloom Filter (Ada-BF): Efficient Utilization of the Classifier with Application to Real-Time Information Filtering on the Web | Dec 1, 2020 | BIG-bench Machine Learning | —Unverified | 0 | 0 |
| Adaptive Local Bayesian Optimization Over Multiple Discrete Variables | Dec 7, 2020 | Bayesian OptimizationBIG-bench Machine Learning | —Unverified | 0 | 0 |
| Adaptive machine learning for protein engineering | Jun 10, 2021 | BIG-bench Machine Learning | —Unverified | 0 | 0 |
| Adaptive Machine Learning for Time-Varying Systems: Low Dimensional Latent Space Tuning | Jul 13, 2021 | BIG-bench Machine LearningDecoder | —Unverified | 0 | 0 |
| Adaptive machine learning strategies for network calibration of IoT smart air quality monitoring devices | Mar 24, 2020 | BIG-bench Machine Learning | —Unverified | 0 | 0 |
| Adaptive Partitioning for Template Functions on Persistence Diagrams | Oct 18, 2019 | BIG-bench Machine LearningTopological Data Analysis | —Unverified | 0 | 0 |
| Adaptive Scheduling for Machine Learning Tasks over Networks | Jan 25, 2021 | BIG-bench Machine LearningFederated Learning | —Unverified | 0 | 0 |
| Adaptive Second Order Coresets for Data-efficient Machine Learning | Jul 28, 2022 | BIG-bench Machine LearningSecond-order methods | —Unverified | 0 | 0 |
| Adaptive Sequential Machine Learning | Apr 4, 2019 | BIG-bench Machine LearningModel Selection | —Unverified | 0 | 0 |
| Adaptive Sequential Optimization with Applications to Machine Learning | Sep 24, 2015 | BIG-bench Machine LearningGeneral Classification | —Unverified | 0 | 0 |
| Adaptive Stochastic Optimization | Jan 18, 2020 | BIG-bench Machine LearningStochastic Optimization | —Unverified | 0 | 0 |
| Adaptive Stochastic Resource Control: A Machine Learning Approach | Jan 15, 2014 | BIG-bench Machine LearningClustering | —Unverified | 0 | 0 |
| Adaptive SVRG Methods under Error Bound Conditions with Unknown Growth Parameter | Dec 1, 2017 | BIG-bench Machine LearningStochastic Optimization | —Unverified | 0 | 0 |
| Adaptive Synthetic Characters for Military Training | Jan 6, 2021 | BIG-bench Machine LearningImitation Learning | —Unverified | 0 | 0 |
| Adaptive Learning of Tensor Network Structures | Aug 12, 2020 | BIG-bench Machine LearningModel Compression | —Unverified | 0 | 0 |
| Adaptive Transfer Learning for Plant Phenotyping | Jan 14, 2022 | BIG-bench Machine LearningGPR | —Unverified | 0 | 0 |
| A Data Analytics Framework for Aggregate Data Analysis | Sep 16, 2018 | BIG-bench Machine LearningMarketing | —Unverified | 0 | 0 |
| A Data-Centric Behavioral Machine Learning Platform to Reduce Health Inequalities | Nov 17, 2021 | BIG-bench Machine LearningFeature Engineering | —Unverified | 0 | 0 |
| A Data-Driven Approach for Predicting Vegetation-Related Outages in Power Distribution Systems | Jul 17, 2018 | BIG-bench Machine LearningTime Series | —Unverified | 0 | 0 |
| A Data Driven Approach to Learning The Hamiltonian Matrix in Quantum Mechanics | Nov 28, 2019 | BIG-bench Machine Learning | —Unverified | 0 | 0 |
| A Data-Driven Machine Learning Approach for Consumer Modeling with Load Disaggregation | Nov 4, 2020 | BIG-bench Machine Learningenergy trading | —Unverified | 0 | 0 |
| A Data Management Approach for Dataset Selection Using Human Computation | Jul 13, 2013 | BIG-bench Machine LearningManagement | —Unverified | 0 | 0 |
| A Data Quality-Driven View of MLOps | Feb 15, 2021 | BIG-bench Machine Learning | —Unverified | 0 | 0 |
| From Human Days to Machine Seconds: Automatically Answering and Generating Machine Learning Final Exams | Jun 11, 2022 | BIG-bench Machine LearningFew-Shot Learning | —Unverified | 0 | 0 |
| Adding machine learning within Hamiltonians: Renormalization group transformations, symmetry breaking and restoration | Sep 30, 2020 | BIG-bench Machine Learning | —Unverified | 0 | 0 |
| Adding Neural Network Controllers to Behavior Trees without Destroying Performance Guarantees | Sep 26, 2018 | BIG-bench Machine LearningReinforcement Learning | —Unverified | 0 | 0 |
| Additively Homomorphical Encryption based Deep Neural Network for Asymmetrically Collaborative Machine Learning | Jul 14, 2020 | BIG-bench Machine LearningPrivacy Preserving | —Unverified | 0 | 0 |
| Addressing Algorithmic Bottlenecks in Elastic Machine Learning with Chicle | Sep 11, 2019 | BIG-bench Machine LearningFairness | —Unverified | 0 | 0 |
| Addressing Bias in Visualization Recommenders by Identifying Trends in Training Data: Improving VizML Through a Statistical Analysis of the Plotly Community Feed | Mar 9, 2022 | BIG-bench Machine LearningRecommendation Systems | —Unverified | 0 | 0 |
| Addressing Data Scarcity in Multimodal User State Recognition by Combining Semi-Supervised and Supervised Learning | Feb 8, 2022 | BIG-bench Machine Learning | —Unverified | 0 | 0 |
| Addressing Privacy Threats from Machine Learning | Oct 25, 2021 | BIG-bench Machine LearningDisaster Response | —Unverified | 0 | 0 |
| Addressing the interpretability problem for deep learning using many valued quantum logic | Jul 2, 2020 | BIG-bench Machine LearningDeep Learning | —Unverified | 0 | 0 |
| A Deep Bayesian Bandits Approach for Anticancer Therapy: Exploration via Functional Prior | May 5, 2022 | BIG-bench Machine LearningDrug Response Prediction | —Unverified | 0 | 0 |
| A Deep Belief Network Based Machine Learning System for Risky Host Detection | Dec 29, 2017 | BIG-bench Machine LearningFeature Engineering | —Unverified | 0 | 0 |
| A Deeper Study on Features for Named Entity Recognition | May 1, 2020 | BIG-bench Machine Learningfeature selection | —Unverified | 0 | 0 |
| A Deep Generative Approach to Native Language Identification | Dec 1, 2020 | BIG-bench Machine LearningLanguage Identification | —Unverified | 0 | 0 |
| A Deep Latent-Variable Model Application to Select Treatment Intensity in Survival Analysis | Nov 29, 2018 | BIG-bench Machine LearningDecision Making | —Unverified | 0 | 0 |
| A Deep Learning-based Framework for the Detection of Schools of Herring in Echograms | Oct 18, 2019 | BIG-bench Machine Learning | —Unverified | 0 | 0 |
| A Deep Learning Based Ternary Task Classification System Using Gramian Angular Summation Field in fNIRS Neuroimaging Data | Jan 14, 2021 | BIG-bench Machine LearningClassification | —Unverified | 0 | 0 |
| A Deep Learning Framework for Lifelong Machine Learning | May 1, 2021 | BIG-bench Machine LearningContinual Learning | —Unverified | 0 | 0 |
| A Deep Learning Pipeline for Patient Diagnosis Prediction Using Electronic Health Records | Jun 23, 2020 | BIG-bench Machine LearningDecision Making | —Unverified | 0 | 0 |
| A Deep Representation Empowered Distant Supervision Paradigm for Clinical Information Extraction | Apr 20, 2018 | BIG-bench Machine LearningFeature Engineering | —Unverified | 0 | 0 |
| A Deterministic Gradient-Based Approach to Avoid Saddle Points | Jan 21, 2019 | BIG-bench Machine Learning | —Unverified | 0 | 0 |
| A Development Cycle for Automated Self-Exploration of Robot Behaviors | Jul 29, 2020 | BIG-bench Machine Learning | —Unverified | 0 | 0 |
| Adiabatic Quantum Computing for Binary Clustering | Jun 17, 2017 | BIG-bench Machine LearningClustering | —Unverified | 0 | 0 |
| Adiabatic Quantum Linear Regression | Aug 5, 2020 | BIG-bench Machine Learningregression | —Unverified | 0 | 0 |
| A Dissection of Overfitting and Generalization in Continuous Reinforcement Learning | Jun 20, 2018 | BIG-bench Machine LearningDeep Reinforcement Learning | —Unverified | 0 | 0 |
| AdjointNet: Constraining machine learning models with physics-based codes | Sep 8, 2021 | Active LearningBIG-bench Machine Learning | —Unverified | 0 | 0 |