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BIG-bench Machine Learning

This branch include most common machine learning fundamental algorithms.

Papers

Showing 21762200 of 10033 papers

TitleStatusHype
CLRGaze: Contrastive Learning of Representations for Eye Movement SignalsCode0
Distillation as a Defense to Adversarial Perturbations against Deep Neural NetworksCode0
Clustering for Binary Featured DatasetsCode0
Distinguishing rule- and exemplar-based generalization in learning systemsCode0
Clustering to Reduce Spatial Data Set SizeCode0
cMelGAN: An Efficient Conditional Generative Model Based on Mel SpectrogramsCode0
An overview of deep learning in medical imaging focusing on MRICode0
Cross-Device Tracking: Matching Devices and CookiesCode0
Cross-Modal Retrieval in the Cooking Context: Learning Semantic Text-Image EmbeddingsCode0
Dank or Not? -- Analyzing and Predicting the Popularity of Memes on RedditCode0
DeBayes: a Bayesian Method for Debiasing Network EmbeddingsCode0
Cost Effective MLaaS Federation: A Combinatorial Reinforcement Learning ApproachCode0
An O(N) Sorting Algorithm: Machine Learning SortCode0
Dlib-ml: A Machine Learning ToolkitCode0
CoCoA: A General Framework for Communication-Efficient Distributed OptimizationCode0
Certified Data Removal from Machine Learning ModelsCode0
Correlator Convolutional Neural Networks: An Interpretable Architecture for Image-like Quantum Matter DataCode0
An Overview of Multi-Task Learning in Deep Neural NetworksCode0
Counterfactual diagnosisCode0
Code Smells for Machine Learning ApplicationsCode0
Adaptive Optimization with Examplewise GradientsCode0
Coordinated Double Machine LearningCode0
Convex Density Constraints for Computing Plausible Counterfactual ExplanationsCode0
CECILIA: Comprehensive Secure Machine Learning FrameworkCode0
Consensus-Based Optimization on the Sphere: Convergence to Global Minimizers and Machine LearningCode0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1Fb232account and password 100Unverified