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BIG-bench Machine Learning

This branch include most common machine learning fundamental algorithms.

Papers

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Showing 6651–6700 of 10033 papers

TitleStatusHype
Developing an App to interpret Chest X-rays to support the diagnosis of respiratory pathology with Artificial IntelligenceCode0
Canonicalizing Knowledge Base LiteralsCode1
Water Preservation in Soan River Basin using Deep Learning TechniquesCode0
Verifying Robustness of Gradient Boosted Models—0
Monte Carlo Gradient Estimation in Machine LearningCode0
A comparison of apartment rent price prediction using a large dataset: Kriging versus DNN—0
Software Engineering Practices for Machine Learning—0
Optimistic Proximal Policy Optimization—0
Machine Learning Phase Transitions with a Quantum Processor—0
Gauge theory and twins paradox of disentangled representations—0
Evolutionary Computation and AI Safety: Research Problems Impeding Routine and Safe Real-world Application of Evolution—0
The Value of Collaboration in Convex Machine Learning with Differential Privacy—0
Machine Learning Construction: implications to cybersecurity—0
Hybrid-Learning approach toward situation recognition and handling—0
Unifying machine learning and quantum chemistry -- a deep neural network for molecular wavefunctionsCode0
Transfer of Machine Learning Fairness across Domains—0
Combining Machine Learning and Social Network Analysis to Reveal the Organizational Structures—0
Investigating Biases in Textual Entailment Datasets—0
Model Bridging: Connection between Simulation Model and Neural Network—0
Alchemy: A Quantum Chemistry Dataset for Benchmarking AI ModelsCode0
Mumford-Shah functionals on graphs and their asymptotics—0
Privacy Preserving QoE Modeling using Collaborative Learning—0
G-PATE: Scalable Differentially Private Data Generator via Private Aggregation of Teacher DiscriminatorsCode0
Trade-offs in Large-Scale Distributed Tuplewise Estimation and LearningCode0
QoE-Aware Resource Allocation for Crowdsourced Live Streaming: A Machine Learning Approach—0
Bayesian Modelling in Practice: Using Uncertainty to Improve Trustworthiness in Medical ApplicationsCode0
Data Cleansing for Models Trained with SGDCode0
Placeto: Learning Generalizable Device Placement Algorithms for Distributed Machine LearningCode0
Machine Learning Testing: Survey, Landscapes and Horizons—0
Solver Recommendation For Transport Problems in Slabs Using Machine Learning—0
Training on test data: Removing near duplicates in Fashion-MNIST—0
Brain correlates of task-load and dementia elucidation with tensor machine learning using oddball BCI paradigm—0
Evaluating Protein Transfer Learning with TAPECode1
The Barron Space and the Flow-induced Function Spaces for Neural Network Models—0
Poisoning Attacks with Generative Adversarial NetsCode0
Declarative Learning-Based Programming as an Interface to AI Systems—0
Parameterized quantum circuits as machine learning modelsCode0
State-of-the-Art Vietnamese Word Segmentation—0
A Static Analysis-based Cross-Architecture Performance Prediction Using Machine Learning—0
Unsupervised machine learning to analyse city logistics through Twitter—0
Analysis | OPEN | Published: 17 June 2019 Multitask learning and benchmarking with clinical time series dataCode0
AI-enabled Blockchain: An Outlier-aware Consensus Protocol for Blockchain-based IoT Networks—0
Machine Learning Software Engineering in Practice: An Industrial Case Study—0
A Survey of Optimization Methods from a Machine Learning Perspective—0
Shape Matters: Evidence from Machine Learning on Body Shape-Income Relationship—0
Addressing database variability in learning from medical data: an ensemble-based approach using convolutional neural networks and a case of study applied to automatic sleep scoring—0
Self-organized inductive reasoning with NeMuS—0
Multi-scale Embedded CNN for Music Tagging (MsE-CNN)—0
Online Heterogeneous Mixture Learning for Big Data—0
Membership Privacy for Machine Learning Models Through Knowledge Transfer—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1Fb232account and password 100—Unverified