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BIG-bench Machine Learning

This branch include most common machine learning fundamental algorithms.

Papers

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Showing 7801–7850 of 10033 papers

TitleStatusHype
Somm: Into the Model—0
Simple and Fast Algorithms for Interactive Machine Learning with Random Counter-examples—0
Thumbs Up and Down: Sentiment Analysis of Medical Online Forums—0
A hybrid pipeline of rules and machine learning to filter web-crawled parallel corpora—0
Cost-Sensitive Parallel Learning Framework for Insurance Intelligence Operation—0
Boosting Text Classification Performance on Sexist Tweets by Text Augmentation and Text Generation Using a Combination of Knowledge Graphs—0
Optimal Adaptive and Accelerated Stochastic Gradient DescentCode0
A Simple Machine Learning Method for Commonsense Reasoning? A Short Commentary on Trinh & Le (2018)—0
Detecting Satire in the News with Machine Learning—0
What Makes You Stressed? Finding Reasons From Tweets—0
Training Machine Learning Models by Regularizing their ExplanationsCode0
A kernel-based approach to molecular conformation analysis—0
Explainable Black-Box Attacks Against Model-based Authentication—0
Fluctuation-dissipation relations for stochastic gradient descentCode0
Pixel Chem: A Representation for Predicting Material Properties with Neural Network—0
TherML: The Thermodynamics of Machine Learning—0
Growing and Retaining AI Talent for the United States Government—0
Relay: A New IR for Machine Learning Frameworks—0
A Machine Learning Approach to Shipping Box Design—0
Predicting Outcome of Indian Premier League (IPL) Matches Using Machine Learning—0
Adding Neural Network Controllers to Behavior Trees without Destroying Performance Guarantees—0
A Kernel for Multi-Parameter Persistent Homology—0
Dynamic Difficulty Awareness Training for Continuous Emotion Prediction—0
Co-Creative Level Design via Machine Learning—0
Towards Automated Let's Play Commentary—0
Explainable PCGML via Game Design Patterns—0
A Survey of Learning Causality with Data: Problems and MethodsCode0
Application of Machine Learning in Wireless Networks: Key Techniques and Open Issues—0
Is Ordered Weighted _1 Regularized Regression Robust to Adversarial Perturbation? A Case Study on OSCAR—0
Data-Driven Design: Exploring new Structural Forms using Machine Learning and Graphic Statics—0
Unrestricted Adversarial ExamplesCode0
Pachinko Prediction: A Bayesian method for event prediction from social media data—0
Comment on "All-optical machine learning using diffractive deep neural networks"—0
Medical Knowledge Embedding Based on Recursive Neural Network for Multi-Disease Diagnosis—0
Lexical Bias In Essay Level Prediction—0
Predicting the Programming Language of Questions and Snippets of StackOverflow Using Natural Language Processing—0
How do you correct run-on sentences it's not as easy as it seems—0
Time is of the Essence: Machine Learning-based Intrusion Detection in Industrial Time Series Data—0
Recurrent Neural Networks based Obesity Status Prediction Using Activity Data—0
Uncertainty Aware AI ML: Why and How—0
Machine Learning for semi linear PDEsCode0
Machine Learning for Forecasting Mid Price Movement using Limit Order Book Data—0
Using Eigencentrality to Estimate Joint, Conditional and Marginal Probabilities from Mixed-Variable Data: Method and Applications—0
Interpretable Reinforcement Learning with Ensemble Methods—0
Towards Accountable AI: Hybrid Human-Machine Analyses for Characterizing System Failure—0
Improving Subseasonal Forecasting in the Western U.S. with Machine LearningCode0
DPPy: Sampling DPPs with PythonCode0
HashTran-DNN: A Framework for Enhancing Robustness of Deep Neural Networks against Adversarial Malware Samples—0
Self Configuration in Machine Learning—0
Study and Observation of the Variation of Accuracies of KNN, SVM, LMNN, ENN Algorithms on Eleven Different Datasets from UCI Machine Learning Repository—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1Fb232account and password 100—Unverified