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BIG-bench Machine Learning

This branch include most common machine learning fundamental algorithms.

Papers

Showing 70517100 of 10033 papers

TitleStatusHype
Testing a Bayesian Measure of Representativeness Using a Large Image Database0
Testing Monotonicity of Machine Learning Models0
Testing Monotonicity of Mean Potential Outcomes in a Continuous Treatment with High-Dimensional Data0
Testing the Robustness of a BiLSTM-based Structural Story Classifier0
Testing the Robustness of AutoML Systems0
Test Set Optimization by Machine Learning Algorithms0
Tetris: Re-architecting Convolutional Neural Network Computation for Machine Learning Accelerators0
Text as data: a machine learning-based approach to measuring uncertainty0
Text Classification for Azerbaijani Language Using Machine Learning and Embedding0
Text Classification Using Hybrid Machine Learning Algorithms on Big Data0
TextPro-AL: An Active Learning Platform for Flexible and Efficient Production of Training Data for NLP Tasks0
tf.data: A Machine Learning Data Processing Framework0
TF.Learn: TensorFlow's High-level Module for Distributed Machine Learning0
The 30-Year Cycle In The AI Debate0
The Achievement of Higher Flexibility in Multiple Choice-based Tests Using Image Classification Techniques0
The ALAMO approach to machine learning0
The algorithm of noisy k-means0
The ALOS Dataset for Advert Localization in Outdoor Scenes0
Theano: new features and speed improvements0
The Application of Machine Learning Techniques for Predicting Results in Team Sport: A Review0
The Bach Doodle: Approachable music composition with machine learning at scale0
The Backbone Method for Ultra-High Dimensional Sparse Machine Learning0
The Benchmark Lottery0
The best way to select features?0
Ethical Considerations and Statistical Analysis of Industry Involvement in Machine Learning Research0
The Born Supremacy: Quantum Advantage and Training of an Ising Born Machine0
The Calabi-Yau Landscape: from Geometry, to Physics, to Machine-Learning0
The CAMELS project: public data release0
The Carbon Footprint of Machine Learning Training Will Plateau, Then Shrink0
The Care Label Concept: A Certification Suite for Trustworthy and Resource-Aware Machine Learning0
The Case for Meta-Cognitive Machine Learning: On Model Entropy and Concept Formation in Deep Learning0
The CLaC Discourse Parser at CoNLL-20160
The "Collections as ML Data" Checklist for Machine Learning & Cultural Heritage0
The Complex Event Recognition Group0
The Consistency of Adversarial Training for Binary Classification0
The Convergence of Machine Learning and Communications0
The Convergence of Stochastic Gradient Descent in Asynchronous Shared Memory0
The covariance matrix of Green's functions and its application to machine learning0
The CSIRO Crown-of-Thorn Starfish Detection Dataset0
The CTU Prague Relational Learning Repository0
The Curious Case of Machine Learning In Malware Detection0
The Dabblers at SemEval-2018 Task 2: Multilingual Emoji Prediction0
The Danger of Reverse-Engineering of Automated Judicial Decision-Making Systems0
The Dark Side: Security Concerns in Machine Learning for EDA0
The Deep Learning Revolution and Its Implications for Computer Architecture and Chip Design0
The Dependence of Machine Learning on Electronic Medical Record Quality0
The Design and Development of Games with a Purpose for AI Systems0
The DigitalTwin from an Artificial Intelligence Perspective0
The Dimpled Manifold Model of Adversarial Examples in Machine Learning0
The DipInfoUniTo Realizer at SRST'19: Learning to Rank and Deep Morphology Prediction for Multilingual Surface Realization0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1Fb232account and password 100Unverified