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BIG-bench Machine Learning

This branch include most common machine learning fundamental algorithms.

Papers

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Showing 9101–9150 of 10033 papers

TitleStatusHype
Transfer Learning based Dynamic Multiobjective Optimization Algorithms—0
Inexact Proximal Gradient Methods for Non-convex and Non-smooth Optimization—0
A new recurrent neural network based predictive model for Faecal Calprotectin analysis: A retrospective study—0
Machine Learning, Linear and Bayesian Models for Logistic Regression in Failure Detection Problems—0
The VQA-Machine: Learning How to Use Existing Vision Algorithms to Answer New Questions—0
Projected Semi-Stochastic Gradient Descent Method with Mini-Batch Scheme under Weak Strong Convexity Assumption—0
Supervised Quantum Learning without Measurements—0
Private Learning on Networks—0
Projected Regression Methods for Inverting Fredholm Integrals: Formalism and Application to Analytical Continuation—0
Bayesian Optimization for Machine Learning : A Practical Guidebook—0
Knowledge-based machine learning methods for macromolecular 3D structure prediction—0
Corporate Disruption in the Science of Machine Learning—0
TF.Learn: TensorFlow's High-level Module for Distributed Machine Learning—0
DeepMind LabCode0
Neurogenesis Deep Learning—0
Automated Inference on Sociopsychological Impressions of Attractive Female Faces—0
A series of maximum entropy upper bounds of the differential entropy—0
BaTFLED: Bayesian Tensor Factorization Linked to External Data—0
DeepCancer: Detecting Cancer through Gene Expressions via Deep Generative Learning—0
Clipper: A Low-Latency Online Prediction Serving System—0
The Physical Systems Behind Optimization Algorithms—0
Statistical and Computational Guarantees of Lloyd's Algorithm and its Variants—0
Interactive Elicitation of Knowledge on Feature Relevance Improves Predictions in Small Data Sets—0
ExtremeWeather: A large-scale climate dataset for semi-supervised detection, localization, and understanding of extreme weather eventsCode0
Efficient Non-oblivious Randomized Reduction for Risk Minimization with Improved Excess Risk Guarantee—0
Diagnostic Prediction Using Discomfort Drawings—0
Understanding and Optimizing the Performance of Distributed Machine Learning Applications on Apache Spark—0
Algorithmic Songwriting with ALYSIA—0
A Noise-Filtering Approach for Cancer Drug Sensitivity Prediction—0
Predictive Clinical Decision Support System with RNN Encoding and Tensor Decoding—0
A Probabilistic Programming Approach To Probabilistic Data Analysis—0
A Multi-step Inertial Forward-Backward Splitting Method for Non-convex Optimization—0
Variance Reduction in Stochastic Gradient Langevin Dynamics—0
Quality Estimation for Language Output Applications—0
TextPro-AL: An Active Learning Platform for Flexible and Efficient Production of Training Data for NLP Tasks—0
Experiments in Candidate Phrase Selection for Financial Named Entity Extraction - A Demo—0
High Accuracy Rule-based Question Classification using Question Syntax and Semantics—0
Machine Learning for Metrical Analysis of English Poetry—0
Corpus Fusion for Emotion Classification—0
Representation and Learning of Temporal Relations—0
Word Embeddings, Analogies, and Machine Learning: Beyond king - man + woman = queen—0
Grammatical Error Detection Based on Machine Learning for Mandarin as Second Language Learning—0
Romanized Berber and Romanized Arabic Automatic Language Identification Using Machine Learning—0
Scoring Disease-Medication Associations using Advanced NLP, Machine Learning, and Multiple Content Sources—0
Keynote Lecture 2: Neural (and other Machine Learning) Approaches to Text Normalization—0
Detecting Uncertainty Cues in Hungarian Social Media Texts—0
Improving the Morphological Analysis of Classical Sanskrit—0
A fine-grained corpus annotation schema of German nephrology records—0
Could Machine Learning Shed Light on Natural Language Complexity?—0
UQAM-NTL: Named entity recognition in Twitter messages—0
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Benchmark Results

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1Fb232account and password 100—Unverified