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BIG-bench Machine Learning

This branch include most common machine learning fundamental algorithms.

Papers

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Showing 9351–9400 of 10033 papers

TitleStatusHype
Model-Agnostic Interpretability of Machine Learning—0
Machine Learning meets Data-Driven Journalism: Boosting International Understanding and Transparency in News Coverage—0
Estimation of matrix trace using machine learning—0
Machine Learning Across Cultures: Modeling the Adoption of Financial Services for the Poor—0
Designing Intelligent Automation based Solutions for Complex Social Problems—0
Optimization Methods for Large-Scale Machine LearningCode0
Exact and efficient top-K inference for multi-target prediction by querying separable linear relational models—0
Adversarial Perturbations Against Deep Neural Networks for Malware Classification—0
Time for a change: a tutorial for comparing multiple classifiers through Bayesian analysisCode1
Comparison of Several Sparse Recovery Methods for Low Rank Matrices with Random Samples—0
Distributed Machine Learning in Materials that Couple Sensing, Actuation, Computation and Communication—0
Machine Learning Techniques and Applications For Ground-based Image Analysis—0
Face valuing: Training user interfaces with facial expressions and reinforcement learning—0
Low-shot Visual Recognition by Shrinking and Hallucinating FeaturesCode0
Symbolic Music Data Version 1.0—0
Theoretical Robopsychology: Samu Has Learned Turing MachinesCode0
ROCS-Derived Features for Virtual ScreeningCode0
Curie: A method for protecting SVM Classifier from Poisoning Attack—0
Machine Learning for E-mail Spam Filtering: Review,Techniques and Trends—0
Towards a Job Title Classification SystemCode0
Unified Framework for QuantificationCode0
Proximal Riemannian Pursuit for Large-Scale Trace-Norm Minimization—0
Online Learning With Bayesian Classification Trees—0
Supervised Machine Learning for Hybrid MeterCode0
CYCLADES: Conflict-free Asynchronous Machine LearningCode0
Learning Combinatorial Functions from Pairwise Comparisons—0
TripleSpin - a generic compact paradigm for fast machine learning computations—0
TensorFlow: A system for large-scale machine learningCode0
Density estimation using Real NVPCode1
Query Expansion with Locally-Trained Word Embeddings—0
Data Programming: Creating Large Training Sets, QuicklyCode1
Discrete Wavelet Transform-Based Prediction of Stock Index: A Study on National Stock Exchange Fifty Index—0
Transferability in Machine Learning: from Phenomena to Black-Box Attacks using Adversarial Samples—0
Fast Bayesian Optimization of Machine Learning Hyperparameters on Large DatasetsCode0
DynaNewton - Accelerating Newton's Method for Machine Learning—0
Piece-wise quadratic approximations of arbitrary error functions for fast and robust machine learning—0
Declarative Machine Learning - A Classification of Basic Properties and Types—0
Evaluation System for a Bayesian Optimization Service—0
Automatic TM Cleaning through MT and POS Tagging: Autodesk's Submission to the NLP4TM 2016 Shared Task—0
A Multi-Batch L-BFGS Method for Machine Learning—0
Audio Features Affected by Music Expressiveness—0
Yelp Dataset Challenge: Review Rating Prediction—0
Identification of promising research directions using machine learning aided medical literature analysis—0
Proceedings of the 5th Workshop on Machine Learning and Interpretation in Neuroimaging (MLINI) at NIPS 2015—0
Machine Comprehension Based on Learning to Rank—0
Road Detection through Supervised Classification—0
Web Spam Detection Using Multiple Kernels in Twin Support Vector Machine—0
Stochastic Portfolio Theory: A Machine Learning Perspective—0
Machine Learning Techniques with Ontology for Subjective Answer Evaluation—0
Theano: A Python framework for fast computation of mathematical expressionsCode0
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