SOTAVerified

BIG-bench Machine Learning

This branch include most common machine learning fundamental algorithms.

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 51–100 of 10033 papers

TitleStatusHype
CrypTen: Secure Multi-Party Computation Meets Machine LearningCode2
CodeNet: A Large-Scale AI for Code Dataset for Learning a Diversity of Coding TasksCode2
Measuring Coding Challenge Competence With APPSCode2
Bayesian Optimization is Superior to Random Search for Machine Learning Hyperparameter Tuning: Analysis of the Black-Box Optimization Challenge 2020Code2
TenSEAL: A Library for Encrypted Tensor Operations Using Homomorphic EncryptionCode2
hls4ml: An Open-Source Codesign Workflow to Empower Scientific Low-Power Machine Learning DevicesCode2
WIT: Wikipedia-based Image Text Dataset for Multimodal Multilingual Machine LearningCode2
Therapeutics Data Commons: Machine Learning Datasets and Tasks for Drug Discovery and DevelopmentCode2
Spark NLP: Natural Language Understanding at ScaleCode2
PyHealth: A Python Library for Health Predictive ModelsCode2
Distribution-Free, Risk-Controlling Prediction SetsCode2
Connections between Relational Event Model and Inverse Reinforcement Learning for Characterizing Group Interaction SequencesCode2
A Tensor Compiler for Unified Machine Learning Prediction ServingCode2
Instead of Rewriting Foreign Code for Machine Learning, Automatically Synthesize Fast GradientsCode2
On Hyperparameter Optimization of Machine Learning Algorithms: Theory and PracticeCode2
FedML: A Research Library and Benchmark for Federated Machine LearningCode2
Attacking and Defending Machine Learning Applications of Public CloudCode2
MLJ: A Julia package for composable machine learningCode2
Monitoring and explainability of models in productionCode2
Frugal Optimization for Cost-related HyperparametersCode2
Deep Learning for Time Series Forecasting: Tutorial and Literature SurveyCode2
ktrain: A Low-Code Library for Augmented Machine LearningCode2
Geomstats: A Python Package for Riemannian Geometry in Machine LearningCode2
Machine Learning in Asset Management—Part 2: Portfolio Construction—Weight Optimization. The Journal of Financial Data ScienceCode2
TensorFlow Quantum: A Software Framework for Quantum Machine LearningCode2
Towards Backdoor Attacks and Defense in Robust Machine Learning ModelsCode2
Machine Learning in Asset Management—Part 1: Portfolio Construction—Trading StrategiesCode2
The KEEN Universe: An Ecosystem for Knowledge Graph Embeddings with a Focus on Reproducibility and TransferabilityCode2
Advbox: a toolbox to generate adversarial examples that fool neural networksCode2
Advances and Open Problems in Federated LearningCode2
Preserving Causal Constraints in Counterfactual Explanations for Machine Learning ClassifiersCode2
Making Classical Machine Learning Pipelines Differentiable: A Neural Translation ApproachCode2
Explaining Machine Learning Classifiers through Diverse Counterfactual ExplanationsCode2
Towards Automatically-Tuned Deep Neural NetworksCode2
The Adverse Effects of Code Duplication in Machine Learning Models of CodeCode2
PennyLane: Automatic differentiation of hybrid quantum-classical computationsCode2
Fused Gromov-Wasserstein distance for structured objects: theoretical foundations and mathematical propertiesCode2
geomstats: a Python Package for Riemannian Geometry in Machine LearningCode2
Fast inference of deep neural networks in FPGAs for particle physicsCode2
Decision-Based Adversarial Attacks: Reliable Attacks Against Black-Box Machine Learning ModelsCode2
Foolbox: A Python toolbox to benchmark the robustness of machine learning modelsCode2
Self-Normalizing Neural NetworksCode2
A Review of Relational Machine Learning for Knowledge GraphsCode2
AnalogVNN: A fully modular framework for modeling and optimizing photonic neural networksCode1
Making a Spiking Net Work: Robust brain-like unsupervised machine learningCode1
Atomic structure generation from reconstructing structural fingerprintsCode1
Lifelong DP: Consistently Bounded Differential Privacy in Lifelong Machine LearningCode1
Lifelong Machine Learning of Functionally Compositional StructuresCode1
Robustar: Interactive Toolbox Supporting Precise Data Annotation for Robust Vision LearningCode1
Do Not Sleep on Traditional Machine Learning: Simple and Interpretable Techniques Are Competitive to Deep Learning for Sleep ScoringCode1
Show:102550
← PrevPage 2 of 201Next →

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1Fb232account and password 100—Unverified