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BIG-bench Machine Learning

This branch include most common machine learning fundamental algorithms.

Papers

Showing 351400 of 10033 papers

TitleStatusHype
Deep learning for photoacoustic imaging: a surveyCode1
Deep Learning with Differential PrivacyCode1
Deep Reinforcement Learning for Conservation DecisionsCode1
A survey of bias in Machine Learning through the prism of Statistical Parity for the Adult Data SetCode1
DELAUNAY: a dataset of abstract art for psychophysical and machine learning researchCode1
Delayed Impact of Fair Machine LearningCode1
DeltaPy: A Framework for Tabular Data Augmentation in PythonCode1
Density Encoding Enables Resource-Efficient Randomly Connected Neural NetworksCode1
A semi-agnostic ansatz with variable structure for quantum machine learningCode1
A Bayesian neural network predicts the dissolution of compact planetary systemsCode1
Adversarial Examples Are Not Bugs, They Are FeaturesCode1
Detecting Video Game Player Burnout with the Use of Sensor Data and Machine LearningCode1
A DICOM Framework for Machine Learning Pipelines against Real-Time Radiology ImagesCode1
Development of Interpretable Machine Learning Models to Detect Arrhythmia based on ECG DataCode1
Differentially Private Graph Classification with GNNsCode1
Differentially Private Learning Needs Better Features (or Much More Data)Code1
Disambiguation of weak supervision with exponential convergence ratesCode1
Distributed Double Machine Learning with a Serverless ArchitectureCode1
Adversarial EXEmples: A Survey and Experimental Evaluation of Practical Attacks on Machine Learning for Windows Malware DetectionCode1
Distributed-Memory Sparse Kernels for Machine LearningCode1
A simple equivariant machine learning method for dynamics based on scalarsCode1
DEER: Descriptive Knowledge Graph for Explaining Entity RelationshipsCode1
Do Not Sleep on Traditional Machine Learning: Simple and Interpretable Techniques Are Competitive to Deep Learning for Sleep ScoringCode1
Double/Debiased Machine Learning for Treatment and Causal ParametersCode1
DriveML: An R Package for Driverless Machine LearningCode1
Driving in the Matrix: Can Virtual Worlds Replace Human-Generated Annotations for Real World Tasks?Code1
A Survey of Label-noise Representation Learning: Past, Present and FutureCode1
ECG-Based Heart Arrhythmia Diagnosis Through Attentional Convolutional Neural NetworksCode1
A Review of the Gumbel-max Trick and its Extensions for Discrete Stochasticity in Machine LearningCode1
Efficient Active Search for Combinatorial Optimization ProblemsCode1
Efficient Continuous Pareto Exploration in Multi-Task LearningCode1
Embedding and Extraction of Knowledge in Tree Ensemble ClassifiersCode1
Are We Really Making Much Progress? A Worrying Analysis of Recent Neural Recommendation ApproachesCode1
Eth2Vec: Learning Contract-Wide Code Representations for Vulnerability Detection on Ethereum Smart ContractsCode1
A Comprehensive Review on Non-Neural Networks Collaborative Filtering Recommendation SystemsCode1
Evaluating Protein Transfer Learning with TAPECode1
Are Convolutional Neural Networks or Transformers more like human vision?Code1
EventGraD: Event-Triggered Communication in Parallel Machine LearningCode1
Explaining Time Series Predictions with Dynamic MasksCode1
Exploiting Defenses against GAN-Based Feature Inference Attacks in Federated LearningCode1
A survey on Adversarial Recommender Systems: from Attack/Defense strategies to Generative Adversarial NetworksCode1
Fact or Factitious? Contextualized Opinion Spam DetectionCode1
Fairness Measures for Regression via Probabilistic ClassificationCode1
Adversarial Machine Learning: Bayesian PerspectivesCode1
FairPut: A Light Framework for Machine Learning Fairness with LightGBMCode1
Fall of Empires: Breaking Byzantine-tolerant SGD by Inner Product ManipulationCode1
A Rationale-Centric Framework for Human-in-the-loop Machine LearningCode1
Fast and interpretable classification of small X-ray diffraction datasets using data augmentation and deep neural networksCode1
A Review of Biomedical Datasets Relating to Drug Discovery: A Knowledge Graph PerspectiveCode1
Artistic Style in Robotic Painting; a Machine Learning Approach to Learning Brushstroke from Human ArtistsCode1
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Benchmark Results

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