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BIG-bench Machine Learning

This branch include most common machine learning fundamental algorithms.

Papers

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Showing 5951–6000 of 10033 papers

TitleStatusHype
Learning Generalizable Device Placement Algorithms for Distributed Machine LearningCode0
A Meta-Analysis of Overfitting in Machine Learning—0
Bridging Machine Learning and Logical Reasoning by Abductive LearningCode0
ObjectNet: A large-scale bias-controlled dataset for pushing the limits of object recognition models—0
Paradoxes in Fair Machine LearningCode0
Quantum Computation with Machine-Learning-Controlled Quantum Stuff—0
Adversarially Robust Low Dimensional Representations—0
Attributional Robustness Training using Input-Gradient Spatial AlignmentCode0
Short Term Prediction of Parking Area states Using Real Time Data and Machine Learning Techniques—0
Refinements of Barndorff-Nielsen and Shephard model: an analysis of crude oil price with machine learning—0
Prediction and optimization of NaV1.7 inhibitors based on machine learning methods—0
Increasing Generality in Machine Learning through Procedural Content Generation—0
Machine Learning for a Low-cost Air Pollution Network—0
Machine learning for music genre: multifaceted review and experimentation with audiosetCode0
Predicting Performance of Software Configurations: There is no Silver Bullet—0
Human Gist Processing Augments Deep Learning Breast Cancer Risk Assessment—0
A Data Driven Approach to Learning The Hamiltonian Matrix in Quantum Mechanics—0
Effective Sub-clonal Cancer Representation to Predict Tumor Evolution—0
Computer Systems Have 99 Problems, Let's Not Make Machine Learning Another One—0
RETRO: Relation Retrofitting For In-Database Machine Learning on Textual Data—0
Bayesian Optimization for Categorical and Category-Specific Continuous InputsCode0
FairPrep: Promoting Data to a First-Class Citizen in Studies on Fairness-Enhancing Interventions—0
An Efficient Machine Learning-based Elderly Fall Detection Algorithm—0
QubitHD: A Stochastic Acceleration Method for HD Computing-Based Machine Learning—0
To Trust, or Not to Trust? A Study of Human Bias in Automated Video Interview Assessments—0
The relationship between trust in AI and trustworthy machine learning technologies—0
Topological Machine Learning for Multivariate Time SeriesCode0
Consider ethical and social challenges in smart grid research—0
Robust Estimation of Hypernasality in Dysarthria with Acoustic Model Likelihood Features—0
Network Embedding: An Overview—0
Defending Against Adversarial Machine Learning—0
Intelligent Resource Scheduling for Co-located Latency-critical Services: A Multi-Model Collaborative Learning Approach—0
Representation Learning: A Statistical Perspective—0
Privacy preserving Neural Network Inference on Encrypted Data with GPUs—0
Local Model Poisoning Attacks to Byzantine-Robust Federated Learning—0
Biology and Compositionality: Empirical Considerations for Emergent-Communication Protocols—0
Enabling real-time multi-messenger astrophysics discoveries with deep learning—0
Deep Reinforcement Learning for Multi-Driver Vehicle Dispatching and Repositioning Problem—0
Classification of Single-lead Electrocardiograms: TDA Informed Machine Learning—0
A Self-Adaptive Synthetic Over-Sampling Technique for Imbalanced Classification—0
Financial Event Extraction Using Wikipedia-Based Weak Supervision—0
Failure Modes in Machine Learning SystemsCode0
Bridging the Gap between Semantics and Multimedia Processing—0
ART: A machine learning Automated Recommendation Tool for synthetic biology—0
Distortion and Faults in Machine Learning Software—0
Transaction Confirmation Time Prediction in Ethereum Blockchain Using Machine Learning—0
Women, politics and Twitter: Using machine learning to change the discourse—0
Causality for Machine LearningCode0
Schema Matching using Machine Learning—0
A psychophysics approach for quantitative comparison of interpretable computer vision models—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1Fb232account and password 100—Unverified