SOTAVerified

BIG-bench Machine Learning

This branch include most common machine learning fundamental algorithms.

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 3201–3250 of 10033 papers

TitleStatusHype
Discrepancy, Coresets, and Sketches in Machine Learning—0
Double/Debiased Machine Learning for Dynamic Treatment Effects—0
Double/Debiased Machine Learning for Dynamic Treatment Effects via g-Estimation—0
Discovery and Separation of Features for Invariant Representation Learning—0
De-Biased Machine Learning of Global and Local Parameters Using Regularized Riesz Representers—0
Double/Debiased/Neyman Machine Learning of Treatment Effects—0
Discover the Mysteries of the Maya: Selected Contributions from the Machine Learning Challenge & The Discovery Challenge Workshop at ECML PKDD 2021—0
A Multi-modal Machine Learning Approach and Toolkit to Automate Recognition of Early Stages of Dementia among British Sign Language Users—0
Discovering nonlinear resonances through physics-informed machine learning—0
Discovering material information using hierarchical Reformer model on financial regulatory filings—0
Discovering key topics from short, real-world medical inquiries via natural language processing and unsupervised learning—0
A Multi-Modal Feature Embedding Approach to Diagnose Alzheimer Disease from Spoken Language—0
Evaluating (weighted) dynamic treatment effects by double machine learning—0
Adversarial Machine Learning for 5G Communications Security—0
Discovering Interpretable Machine Learning Models in Parallel Coordinates—0
Discovering Governing Equations by Machine Learning implemented with Invariance—0
Auditing and Achieving Intersectional Fairness in Classification Problems—0
DP-ADMM: ADMM-based Distributed Learning with Differential Privacy—0
DPDR: A novel machine learning method for the Decision Process for Dimensionality Reduction—0
Discovering Boundary Values of Feature-based Machine Learning Classifiers through Exploratory Datamorphic Testing—0
Discerning the painter's hand: machine learning on surface topography—0
DP-XGBoost: Private Machine Learning at Scale—0
Audio Features Affected by Music Expressiveness—0
Drawing Inspiration from Biological Dendrites to Empower Artificial Neural Networks—0
Dreaming machine learning: Lipschitz extensions for reinforcement learning on financial markets—0
DRIVE: Machine Learning to Identify Drivers of Cancer with High-Dimensional Genomic Data & Imputed Labels—0
Disability prediction in multiple sclerosis using performance outcome measures and demographic data—0
Machine Learning Assessment: implications to cybersecurity—0
A Multi-Modal and Multitask Benchmark in the Clinical Domain—0
Dropout: Explicit Forms and Capacity Control—0
Adversarial Machine Learning for Cybersecurity and Computer Vision: Current Developments and Challenges—0
Drug Discovery Approaches using Quantum Machine Learning—0
A Comprehensive Review of Computer-aided Whole-slide Image Analysis: from Datasets to Feature Extraction, Segmentation, Classification, and Detection Approaches—0
A Brief Review of Machine Learning Techniques for Protein Phosphorylation Sites Prediction—0
AHA! an 'Artificial Hippocampal Algorithm' for Episodic Machine Learning—0
Recommending Dream Jobs in a Biased Real World—0
Dual Neural Network Architecture for Determining Epistemic and Aleatoric Uncertainties—0
Duckworth-Lewis-Stern Method Comparison with Machine Learning Approach—0
DUTH at SemEval-2017 Task 4: A Voting Classification Approach for Twitter Sentiment Analysis—0
DUTH at SemEval-2017 Task 5: Sentiment Predictability in Financial Microblogging and News Articles—0
Smart Laptop Bag with Machine Learning for Activity Recognition—0
Anticipating cryptocurrency prices using machine learning—0
Dirichlet uncertainty wrappers for actionable algorithm accuracy accountability and auditability—0
Dynamical simulation via quantum machine learning with provable generalization—0
Direct Uncertainty Prediction for Medical Second Opinions—0
Dynamic backdoor attacks against federated learning—0
Dynamic Backdoor Attacks Against Machine Learning Models—0
Dynamic backup workers for parallel machine learning—0
Dynamic Compression Ratio Selection for Edge Inference Systems with Hard Deadlines—0
Directive Explanations for Actionable Explainability in Machine Learning Applications—0
Show:102550
← PrevPage 65 of 201Next →

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1Fb232account and password 100—Unverified