Computer Science - Machine Learning

Substitutional Neural Image Compression
We describe Substitutional Neural Image Compression (SNIC), a general approach for enhancing any neural image compression model, that …
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Collusion Detection in Team-Based Multiplayer Games
In the context of competitive multiplayer games, collusion happens when two or more teams decide to collaborate towards a common goal, …
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Non-Volatile Memory Accelerated Posterior Estimation
Bayesian inference allows machine learning models to express uncertainty. Current machine learning models use only a single learnable …
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Block Switching: A Stochastic Approach for Deep Learning Security
Recent study of adversarial attacks has revealed the vulnerability of modern deep learning models. That is, subtly crafted …
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Tree-Transformer: A Transformer-Based Method for Correction of Tree-Structured Data
Many common sequential data sources, such as source code and natural language, have a natural tree-structured representation. These …
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Automated software vulnerability detection with machine learning
Thousands of security vulnerabilities are discovered in production software each year, either reported publicly to the Common …
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