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BIG-bench Machine Learning

This branch include most common machine learning fundamental algorithms.

Papers

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Showing 9201–9250 of 10033 papers

TitleStatusHype
Gradient descent revisited via an adaptive online learning rateCode0
Gradient Descent: The Ultimate OptimizerCode0
Referential Uncertainty and Word Learning in High-dimensional, Continuous Meaning SpacesCode0
Machine Learning-Based Approaches For Breast Cancer Detection in Microwave ImagingCode0
Double-Adversarial Activation Anomaly Detection: Adversarial Autoencoders are Anomaly GeneratorsCode0
A Text Classification Framework for Simple and Effective Early Depression Detection Over Social Media StreamsCode0
BRIDGE: Byzantine-resilient Decentralized Gradient DescentCode0
Achievable Information Rates for Nonlinear Fiber Communication via End-to-end Autoencoder LearningCode0
The Deep Parametric PDE Method: Application to Option PricingCode0
Do the Machine Learning Models on a Crowd Sourced Platform Exhibit Bias? An Empirical Study on Model FairnessCode0
A Near-Optimal Algorithm for Debiasing Trained Machine Learning ModelsCode0
Shell Theory: A Statistical Model of RealityCode0
Graduated Optimization of Black-Box FunctionsCode0
Brain-Like Object Recognition with High-Performing Shallow Recurrent ANNsCode0
Grammar Based Directed Testing of Machine Learning SystemsCode0
An Atomistic Machine Learning Package for Surface Science and CatalysisCode0
Predicting and Analyzing Law-Making in KenyaCode0
Shielding Google's language toxicity model against adversarial attacksCode0
Analyzing the Habitable Zones of Circumbinary Planets Using Machine LearningCode0
UE throughput guaranteed small cell on /off algorithm with machine learningCode0
Accurate Fairness: Improving Individual Fairness without Trading AccuracyCode0
Regression Under Human AssistanceCode0
Multi-resolution Super Learner for Voxel-wise Classification of Prostate Cancer Using Multi-parametric MRICode0
Predicting Branch Visits and Credit Card Up-selling using Temporal Banking DataCode0
Does the "Artificial Intelligence Clinician" learn optimal treatment strategies for sepsis in intensive care?Code0
Multiscale Laplacian LearningCode0
Adversarial Reprogramming of Neural NetworksCode0
Machine Learning Based Cyber Attacks Targeting on Controlled Information: A SurveyCode0
Dlib-ml: A Machine Learning ToolkitCode0
The Differentiable Cross-Entropy MethodCode0
Diversity in deep generative models and generative AICode0
Predicting city safety perception based on visual image contentCode0
Threat Assessment in Machine Learning based SystemsCode0
Transformation of ReLU-based recurrent neural networks from discrete-time to continuous-timeCode0
Graph Kernels Based on Linear Patterns: Theoretical and Experimental ComparisonsCode0
GraphLab: A New Framework for Parallel Machine LearningCode0
Three Approaches for Personalization with Applications to Federated LearningCode0
Cross-layer Optimization for High Speed Adders: A Pareto Driven Machine Learning ApproachCode0
The Disagreement Problem in Explainable Machine Learning: A Practitioner's PerspectiveCode0
Blocks and Fuel: Frameworks for deep learningCode0
Regularized target encoding outperforms traditional methods in supervised machine learning with high cardinality featuresCode0
Regularizing Black-box Models for Improved InterpretabilityCode0
Patch LearningCode0
Distributed Learning of Deep Neural Networks using Independent Subnet TrainingCode0
Multi-task problems are not multi-objectiveCode0
Machine learning-based EDFA Gain Model Generalizable to Multiple Physical DevicesCode0
ReinBo: Machine Learning pipeline search and configuration with Bayesian Optimization embedded Reinforcement LearningCode0
Distributed Differentially Private Computation of Functions with Correlated NoiseCode0
Multi-View Self-Attention for Interpretable Drug-Target Interaction PredictionCode0
Reinforced Data Sampling for Model DiversificationCode0
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