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BIG-bench Machine Learning

This branch include most common machine learning fundamental algorithms.

Papers

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Showing 8601–8625 of 10033 papers

TitleStatusHype
Reinforcement Learning in a large scale photonic Recurrent Neural Network—0
An Accelerated Communication-Efficient Primal-Dual Optimization Framework for Structured Machine LearningCode0
Machine Learning for the Geosciences: Challenges and Opportunities—0
Accelerating HPC codes on Intel(R) Omni-Path Architecture networks: From particle physics to Machine Learning—0
Guided Machine Learning for power grid segmentationCode0
A machine learning approach for efficient uncertainty quantification using multiscale methods—0
Poverty Prediction with Public Landsat 7 Satellite Imagery and Machine Learning—0
Physiological and behavioral profiling for nociceptive pain estimation using personalized multitask learning—0
Dynamic Analysis of Executables to Detect and Characterize Malware—0
Improved Twitter Sentiment Analysis Using Naive Bayes and Custom Language Model—0
Data Fusion and Machine Learning Integration for Transformer Loss of Life Estimation—0
Machine Learning Based Fast Power Integrity Classifier—0
Tangent: Automatic Differentiation Using Source Code Transformation in Python—0
Quality-Efficiency Trade-offs in Machine Learning for Text Processing—0
An efficient quantum algorithm for generative machine learning—0
A General Neural Network Hardware Architecture on FPGA—0
End-to-End Video Classification with Knowledge Graphs—0
Deformable Deep Convolutional Generative Adversarial Network in Microwave Based Hand Gesture Recognition System—0
Machine Learning Approach to RF Transmitter Identification—0
The Case for Meta-Cognitive Machine Learning: On Model Entropy and Concept Formation in Deep Learning—0
SPARK: Static Program Analysis Reasoning and Retrieving Knowledge—0
Estimating Historical Hourly Traffic Volumes via Machine Learning and Vehicle Probe Data: A Maryland Case Study—0
The Achievement of Higher Flexibility in Multiple Choice-based Tests Using Image Classification Techniques—0
\#ActuallyDepressed: Characterization of Depressed Tumblr Users' Online Behavior from Rules Generation Machine Learning Technique—0
An Exploration of Data Augmentation and RNN Architectures for Question Ranking in Community Question Answering—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1Fb232account and password 100—Unverified