SOTAVerified

BIG-bench Machine Learning

This branch include most common machine learning fundamental algorithms.

Papers

Showing 801850 of 10033 papers

TitleStatusHype
Second-Order Stochastic Optimization for Machine Learning in Linear TimeCode1
Density estimation using Real NVPCode1
GEMA: An open-source Python library for self-organizing-mapsCode1
Descriptive and Predictive Analysis of Euroleague Basketball Games and the Wisdom of Basketball CrowdsCode1
Industrial Machine Tool Component Surface Defect DatasetCode1
Semantic Preserving Embeddings for Generalized GraphsCode1
Machine Learning SensorsCode1
Detecting Video Game Player Burnout with the Use of Sensor Data and Machine LearningCode1
Shared Data and Algorithms for Deep Learning in Fundamental PhysicsCode1
Detecting Hateful Memes Using a Multimodal Deep EnsembleCode1
SHIFT15M: Fashion-specific dataset for set-to-set matching with several distribution shiftsCode1
SidechainNet: An All-Atom Protein Structure Dataset for Machine LearningCode1
REAL ML: Recognizing, Exploring, and Articulating Limitations of Machine Learning ResearchCode1
Detection of gravitational-wave signals from binary neutron star mergers using machine learningCode1
Developing and Defeating Adversarial ExamplesCode1
From Human Explanation to Model Interpretability: A Framework Based on Weight of EvidenceCode0
Facilitated machine learning for image-based fruit quality assessmentCode0
Face Recognition: From Traditional to Deep Learning MethodsCode0
Facial Key Points Detection using Deep Convolutional Neural Network - NaimishNetCode0
Failure Modes in Machine Learning SystemsCode0
Extracting Sentiment Attitudes From Analytical TextsCode0
AdaGrid: Adaptive Grid Search for Link Prediction Training ObjectiveCode0
Dynamics of specialization in neural modules under resource constraintsCode0
A Higher-Order Swiss Army Infinitesimal JackknifeCode0
A high-bias, low-variance introduction to Machine Learning for physicistsCode0
ExtremeWeather: A large-scale climate dataset for semi-supervised detection, localization, and understanding of extreme weather eventsCode0
Fair Active LearningCode0
eXpose: A Character-Level Convolutional Neural Network with Embeddings For Detecting Malicious URLs, File Paths and Registry KeysCode0
Exploring Opportunistic Meta-knowledge to Reduce Search Spaces for Automated Machine LearningCode0
Exploring helical dynamos with machine learningCode0
Exploring Wilderness Characteristics Using Explainable Machine Learning in Satellite ImageryCode0
Extending Defensive DistillationCode0
ExploreKit: Automatic Feature Generation and SelectionCode0
Exploration of Parameter Spaces Assisted by Machine LearningCode0
A Guide to Constraining Effective Field Theories with Machine LearningCode0
Exploiting Parallel Audio Recordings to Enforce Device Invariance in CNN-based Acoustic Scene ClassificationCode0
Exploiting Parallelism Opportunities with Deep Learning FrameworksCode0
External Evaluation of Event Extraction Classifiers for Automatic Pathway Curation: An extended study of the mTOR pathwayCode0
Fair Active LearningCode0
LIMEADE: From AI Explanations to Advice TakingCode0
ACTIVETHIEF: Model Extraction Using Active Learning and Unannotated Public DataCode0
Explaining Vulnerabilities to Adversarial Machine Learning through Visual AnalyticsCode0
Explanatory machine learning for sequential human teachingCode0
Aggressive Language Identification Using Word Embeddings and Sentiment FeaturesCode0
Aggregation Delayed Federated LearningCode0
Explaining Hyperparameter Optimization via Partial Dependence PlotsCode0
Explainable Machine Learning for Public Policy: Use Cases, Gaps, and Research DirectionsCode0
Active learning with RESSPECT: Resource allocation for extragalactic astronomical transientsCode0
explAIner: A Visual Analytics Framework for Interactive and Explainable Machine LearningCode0
Agent-Based Model Calibration using Machine Learning SurrogatesCode0
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Benchmark Results

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