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BIG-bench Machine Learning

This branch include most common machine learning fundamental algorithms.

Papers

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Showing 3151–3200 of 10033 papers

TitleStatusHype
Computational and Robotic Models of Early Language Development: A Review—0
Distributed Training of Graph Convolutional Networks using Subgraph Approximation—0
Distributionally-Robust Machine Learning Using Locally Differentially-Private Data—0
Applying Machine Learning in Self-Adaptive Systems: A Systematic Literature Review—0
Distributive Dynamic Spectrum Access through Deep Reinforcement Learning: A Reservoir Computing Based Approach—0
Dive into Machine Learning Algorithms for Influenza Virus Host Prediction with Hemagglutinin Sequences—0
Diversification-Based Learning in Computing and Optimization—0
Autoencoding topology—0
Applying Machine Learning and AI Explanations to Analyze Vaccine Hesitancy—0
DS-Sync: Addressing Network Bottlenecks with Divide-and-Shuffle Synchronization for Distributed DNN Training—0
Compressive-Sensing Data Reconstruction for Structural Health Monitoring: A Machine-Learning Approach—0
Algorithms for solving optimization problems arising from deep neural net models: nonsmooth problems—0
DLS@CU-CORE: A Simple Machine Learning Model of Semantic Textual Similarity—0
DNA Methylation Data to Predict Suicidal and Non-Suicidal Deaths: A Machine Learning Approach—0
DNN-driven Gradual Machine Learning for Aspect-term Sentiment Analysis—0
DNNShield: Dynamic Randomized Model Sparsification, A Defense Against Adversarial Machine Learning—0
ABC: Efficient Selection of Machine Learning Configuration on Large Dataset—0
EEG machine learning with Higuchi fractal dimension and Sample Entropy as features for successful detection of depression—0
Effective injury forecasting in soccer with GPS training data and machine learning—0
Documentation of Machine Learning Software—0
Document Classification Using Distributed Machine Learning—0
Document Embedding Generation for Cyber-Aggressive Comment Detection using Supervised Machine Learning Approach—0
Do Datasets Have Politics? Disciplinary Values in Computer Vision Dataset Development—0
Do Deep Minds Think Alike? Selective Adversarial Attacks for Fine-Grained Manipulation of Multiple Deep Neural Networks—0
Do Deep Neural Networks Contribute to Multivariate Time Series Anomaly Detection?—0
Does a Hybrid Neural Network based Feature Selection Model Improve Text Classification?—0
Does Distributionally Robust Supervised Learning Give Robust Classifiers?—0
Does imputation matter? Benchmark for predictive models—0
Does Link Prediction Help Detect Feature Interactions in Software Product Lines (SPLs)?—0
Automated Architecture Design for Deep Neural Networks—0
Does Weather Matter? Causal Analysis of TV Logs—0
Do Human Rationales Improve Machine Explanations?—0
Compressive Classification (Machine Learning without learning)—0
Domain Adaptation and Transfer Learning in StochasticNets—0
Unsupervised Domain Adaptation Through Transferring both the Source-Knowledge and Target-Relatedness Simultaneously—0
Domain-adaptive Fall Detection Using Deep Adversarial Training—0
Domain Adaptive Generation of Aircraft on Satellite Imagery via Simulated and Unsupervised Learning—0
Domain Adaptive Learning Based on Sample-Dependent and Learnable Kernels—0
Domain-guided Machine Learning for Remotely Sensed In-Season Crop Growth Estimation—0
Compression Implies Generalization—0
Domain-specific MT for Low-resource Languages: The case of Bambara-French—0
Do NLP and machine learning improve traditional readability formulas?—0
Do not explain without context: addressing the blind spot of model explanations—0
Applying Machine Learning Algorithms for Kidney Disease Diagnosis—0
Don't Jump Through Hoops and Remove Those Loops: SVRG and Katyusha are Better Without the Outer Loop—0
Dopamine Transporter SPECT Image Classification for Neurodegenerative Parkinsonism via Diffusion Maps and Machine Learning Classifiers—0
Dos and Don'ts of Machine Learning in Computer Security—0
Automated design of collective variables using supervised machine learning—0
A Data-Driven Approach for Predicting Vegetation-Related Outages in Power Distribution Systems—0
Comprehensive evaluation of no-reference image quality assessment algorithms on authentic distortions—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1Fb232account and password 100—Unverified