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BIG-bench Machine Learning

This branch include most common machine learning fundamental algorithms.

Papers

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Showing 4351–4400 of 10033 papers

TitleStatusHype
FEATHERS: Federated Architecture and Hyperparameter Search—0
Happy Travelers Take Big Pictures: A Psychological Study with Machine Learning and Big Data—0
Harassment detection: a benchmark on the #HackHarassment dataset—0
Hardening Quantum Machine Learning Against Adversaries—0
Hardening Random Forest Cyber Detectors Against Adversarial Attacks—0
Hardness prediction of age-hardening aluminum alloy based on ensemble learning—0
Hardware Acceleration of Explainable Machine Learning using Tensor Processing Units—0
Hardware-Aware Machine Learning: Modeling and Optimization—0
Fourier Transform Approach to Machine Learning II: Fourier Clustering—0
Hardware Trojan Attacks on Neural Networks—0
HARK Side of Deep Learning -- From Grad Student Descent to Automated Machine Learning—0
Harmonic Extension—0
Harnessing disordered quantum dynamics for machine learning—0
AI Poincaré: Machine Learning Conservation Laws from Trajectories—0
Hashed Binary Search Sampling for Convolutional Network Training with Large Overhead Image Patches—0
HashTran-DNN: A Framework for Enhancing Robustness of Deep Neural Networks against Adversarial Malware Samples—0
HASI: Hardware-Accelerated Stochastic Inference, A Defense Against Adversarial Machine Learning Attacks—0
An Overview of Federated Deep Learning Privacy Attacks and Defensive Strategies—0
CNN vs ELM for Image-Based Malware Classification—0
Have you forgotten? A method to assess if machine learning models have forgotten data—0
Have You Stolen My Model? Evasion Attacks Against Deep Neural Network Watermarking Techniques—0
"Having 2 hours to write a paper is fun!": Detecting Sarcasm in Numerical Portions of Text—0
Adaptive Local Bayesian Optimization Over Multiple Discrete Variables—0
How human judgment impairs automated deception detection performance—0
Coarse-Refinement Dilemma: On Generalization Bounds for Data Clustering—0
Headnote Prediction Using Machine Learning—0
Health Analytics: a systematic review of approaches to detect phenotype cohorts using electronic health records—0
Hebbian Continual Representation Learning—0
COBRA: Context-aware Bernoulli Neural Networks for Reputation Assessment—0
HEIDL: Learning Linguistic Expressions with Deep Learning and Human-in-the-Loop—0
Helix: Accelerating Human-in-the-loop Machine Learning—0
Helix: Holistic Optimization for Accelerating Iterative Machine Learning—0
How model accuracy and explanation fidelity influence user trust—0
Helping Reduce Environmental Impact of Aviation with Machine Learning—0
Hemogram Data as a Tool for Decision-making in COVID-19 Management: Applications to Resource Scarcity Scenarios—0
Efficient Pruning for Machine Learning Under Homomorphic Encryption—0
CodedPrivateML: A Fast and Privacy-Preserving Framework for Distributed Machine Learning—0
Heterogeneous Ensemble Learning for Enhanced Crash Forecasts -- A Frequentest and Machine Learning based Stacking Framework—0
Heterogeneous relational message passing networks for molecular dynamics simulations—0
Heterogeneous Treatment Effect Estimation using machine learning for Healthcare application: tutorial and benchmark—0
An Overview of Privacy in Machine Learning—0
Heteroscedastic Treed Bayesian Optimisation—0
Code Smells in Machine Learning Systems—0
H-GCN: A Graph Convolutional Network Accelerator on Versal ACAP Architecture—0
HHU at SemEval-2017 Task 5: Fine-Grained Sentiment Analysis on Financial Data using Machine Learning Methods—0
Hidden Incentives for Auto-Induced Distributional Shift—0
Group-Invariant Quantum Machine Learning—0
Hidden incentives for self-induced distributional shift—0
Group invariant machine learning by fundamental domain projections—0
Class-specific Differential Detection in Diffractive Optical Neural Networks Improves Inference Accuracy—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1Fb232account and password 100—Unverified