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Accelerating IoV Intrusion Detection: Benchmarking GPU-Accelerated vs CPU-Based ML Libraries
Arxiv
0+阅读 · 4月3日
Adaptive Federated Learning with Functional Encryption: A Comparison of Classical and Quantum-safe Options
Arxiv
0+阅读 · 4月1日
Automated Explanation of Machine Learning Models of Footballing Actions in Words
Arxiv
0+阅读 · 4月1日
shapr: Explaining Machine Learning Models with Conditional Shapley Values in R and Python
shapr: Explaining Machine Learning Models with Conditional Shapley Values in R and Python
Arxiv
0+阅读 · 4月2日
Accelerating IoV Intrusion Detection: Benchmarking GPU-Accelerated vs CPU-Based ML Libraries
Arxiv
0+阅读 · 4月2日
A Survey on Unlearnable Data
A Survey on Unlearnable Data
Arxiv
1+阅读 · 4月1日
Statistically Testing Training Data for Unwanted Error Patterns using Rule-Oriented Regression
Statistically Testing Training Data for Unwanted Error Patterns using Rule-Oriented Regression
Arxiv
0+阅读 · 4月1日
Class-Dependent Perturbation Effects in Evaluating Time Series Attributions
Arxiv
0+阅读 · 4月1日
Evaluating machine learning models for predicting pesticides toxicity to honey bees
Evaluating machine learning models for predicting pesticides toxicity to honey bees
Arxiv
0+阅读 · 4月1日
When Counterfactual Reasoning Fails: Chaos and Real-World Complexity
Arxiv
0+阅读 · 4月1日
Model Lake: a New Alternative for Machine Learning Models Management and Governance
Arxiv
0+阅读 · 3月27日
Evaluating machine learning models for predicting pesticides toxicity to honey bees
Evaluating machine learning models for predicting pesticides toxicity to honey bees
Arxiv
0+阅读 · 3月31日
Blind Baselines Beat Membership Inference Attacks for Foundation Models
Arxiv
0+阅读 · 3月30日
When Counterfactual Reasoning Fails: Chaos and Real-World Complexity
Arxiv
0+阅读 · 3月31日
Feature Responsiveness Scores: Model-Agnostic Explanations for Recourse
Arxiv
0+阅读 · 3月28日
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