SOTAVerified

BIG-bench Machine Learning

This branch include most common machine learning fundamental algorithms.

Papers

Showing 80518100 of 10033 papers

TitleStatusHype
Adversarial Patterns: Building Robust Android Malware Classifiers0
Adversarial Perturbations Against Deep Neural Networks for Malware Classification0
Adversarial Poisoning Attacks and Defense for General Multi-Class Models Based On Synthetic Reduced Nearest Neighbors0
Adversarial Robustness for Machine Learning Cyber Defenses Using Log Data0
Adversarial Robustness of Deep Neural Networks: A Survey from a Formal Verification Perspective0
Adversarial Security Attacks and Perturbations on Machine Learning and Deep Learning Methods0
Adversarial Sensor Attack on LiDAR-based Perception in Autonomous Driving0
Adversarial trading0
Adversarial Transferability in Wearable Sensor Systems0
Adversary Instantiation: Lower Bounds for Differentially Private Machine Learning0
Adverse Drug Event classification of health records using dictionary based pre-processing and machine learning0
Adverse Drug Event prediction combining shallow analysis and machine learning0
A Dynamic-Adversarial Mining Approach to the Security of Machine Learning0
A Dynamic Deep Neural Network For Multimodal Clinical Data Analysis0
A Dynamic Sampling Adaptive-SGD Method for Machine Learning0
Aesthetics, Personalization and Recommendation: A survey on Deep Learning in Fashion0
A Facial Affect Analysis System for Autism Spectrum Disorder0
A Fair Classifier Using Kernel Density Estimation0
A Falsificationist Account of Artificial Neural Networks0
A Hybrid Architecture for Federated and Centralized Learning0
A Faster Maximum Cardinality Matching Algorithm with Applications in Machine Learning0
A Fast Machine Learning Model for ECG-Based Heartbeat Classification and Arrhythmia Detection0
Affine-Invariant Robust Training0
A fine-grained corpus annotation schema of German nephrology records0
A Finer Calibration Analysis for Adversarial Robustness0
Nested Nonparametric Instrumental Variable Regression0
A First Experiment on Including Text Literals in KGloVe0
A flexible, extensible software framework for model compression based on the LC algorithm0
A Flexible Framework for Nonparametric Graphical Modeling that Accommodates Machine Learning0
A Formal Proof of PAC Learnability for Decision Stumps0
A Framework for Assurance of Medication Safety using Machine Learning0
A Framework for Constructing Machine Learning Models with Feature Set Optimisation for Evapotranspiration Partitioning0
A Framework for Distributed Deep Learning Layer Design in Python0
A Framework for End-to-End Deep Learning-Based Anomaly Detection in Transportation Networks0
Evaluating the Cybersecurity Risk of Real World, Machine Learning Production Systems0
A Framework for Fairer Machine Learning in Organizations0
A Framework for Fairness: A Systematic Review of Existing Fair AI Solutions0
A Framework for Implementing Machine Learning on Omics Data0
A Framework for Model Search Across Multiple Machine Learning Implementations0
A FRAMEWORK FOR ROBUSTNESS CERTIFICATION OF SMOOTHED CLASSIFIERS USING F-DIVERGENCES0
A framework for the extraction of Deep Neural Networks by leveraging public data0
A Framework for Understanding Model Extraction Attack and Defense0
A Framework for Understanding Sources of Harm throughout the Machine Learning Life Cycle0
A Framework for Verification of Wasserstein Adversarial Robustness0
A Framework to Explore Workload-Specific Performance and Lifetime Trade-offs in Neuromorphic Computing0
A Fundamental Performance Limitation for Adversarial Classification0
A Game of Dice: Machine Learning and the Question Concerning Art0
A Game-theoretic Machine Learning Approach for Revenue Maximization in Sponsored Search0
A GAN-based Approach for Mitigating Inference Attacks in Smart Home Environment0
Low-Cost Outdoor Air Quality Monitoring and Sensor Calibration: A Survey and Critical Analysis0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1Fb232account and password 100Unverified