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BIG-bench Machine Learning

This branch include most common machine learning fundamental algorithms.

Papers

Showing 451500 of 10033 papers

TitleStatusHype
Knowledge Informed Machine Learning using a Weibull-based Loss FunctionCode1
Are Convolutional Neural Networks or Transformers more like human vision?Code1
Lale: Consistent Automated Machine LearningCode1
Lambda Learner: Fast Incremental Learning on Data StreamsCode1
A quantum algorithm for training wide and deep classical neural networksCode1
Learning Fast Algorithms for Linear Transforms Using Butterfly FactorizationsCode1
Learning from the Pros: Extracting Professional Goalkeeper Technique from Broadcast FootageCode1
Afro-MNIST: Synthetic generation of MNIST-style datasets for low-resource languagesCode1
Learning outside the Black-Box: The pursuit of interpretable modelsCode1
Against All Odds: Winning the Defense Challenge in an Evasion Competition with DiversificationCode1
Learning Relaxed Belady for Content Distribution Network CachingCode1
Adaptive Risk Minimization: Learning to Adapt to Domain ShiftCode1
LeFlow: Enabling Flexible FPGA High-Level Synthesis of Tensorflow Deep Neural NetworksCode1
Lettuce: PyTorch-based Lattice Boltzmann FrameworkCode1
Lifelong DP: Consistently Bounded Differential Privacy in Lifelong Machine LearningCode1
Lifelong Machine Learning of Functionally Compositional StructuresCode1
XEM: An Explainable-by-Design Ensemble Method for Multivariate Time Series ClassificationCode1
Practical distributed quantum information processing with LOCCNetCode1
A Rationale-Centric Framework for Human-in-the-loop Machine LearningCode1
LoopStack: a Lightweight Tensor Algebra Compiler StackCode1
Machine Learning at the Network Edge: A SurveyCode1
Machine-Learning-Based Diagnostics of EEG PathologyCode1
Machine Learning-Based Unbalance Detection of a Rotating Shaft Using Vibration DataCode1
Machine Learning Constructives and Local Searches for the Travelling Salesman ProblemCode1
A Review of the Gumbel-max Trick and its Extensions for Discrete Stochasticity in Machine LearningCode1
Machine Learning for Glacier Monitoring in the Hindu Kush HimalayaCode1
Approximating Network Centrality Measures Using Node Embedding and Machine LearningCode1
Approximate Network Motif Mining Via Graph LearningCode1
Machine Learning on Graphs: A Model and Comprehensive TaxonomyCode1
Machine learning on knowledge graphs for context-aware security monitoringCode1
Machine Learning SensorsCode1
Machine Learning Simulates Agent-Based Model Towards PolicyCode1
A Preliminary Study of Neural Network-based Approximation for HPC ApplicationsCode1
Making a Spiking Net Work: Robust brain-like unsupervised machine learningCode1
Malware Classification Using Static Disassembly and Machine LearningCode1
MANGO: A Python Library for Parallel Hyperparameter TuningCode1
Mapping Images to Psychological Similarity Spaces Using Neural NetworksCode1
Markpainting: Adversarial Machine Learning meets InpaintingCode1
Enhanced spatio-temporal electric load forecasts using less data with active deep learningCode1
AGNet: Weighing Black Holes with Machine LearningCode1
A GNN-RNN Approach for Harnessing Geospatial and Temporal Information: Application to Crop Yield PredictionCode1
Dendrite Net: A White-Box Module for Classification, Regression, and System IdentificationCode1
Classification of Abnormal Hand Movement for Aiding in Autism Detection: Machine Learning StudyCode1
A graph representation of molecular ensembles for polymer property predictionCode1
Meta Dropout: Learning to Perturb Features for GeneralizationCode1
Meta Dropout: Learning to Perturb Latent Features for GeneralizationCode1
MEUZZ: Smart Seed Scheduling for Hybrid FuzzingCode1
Mill.jl and JsonGrinder.jl: automated differentiable feature extraction for learning from raw JSON dataCode1
ML4CO-KIDA: Knowledge Inheritance in Dataset AggregationCode1
Apache Submarine: A Unified Machine Learning Platform Made SimpleCode1
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