Early Classification
14 papers with code • 1 benchmarks • 1 datasets
Libraries
Use these libraries to find Early Classification models and implementationsMost implemented papers
Toward Asymptotic Optimality: Sequential Unsupervised Regression of Density Ratio for Early Classification
Theoretically-inspired sequential density ratio estimation (SDRE) algorithms are proposed for the early classification of time series.
Dynamic Perceiver for Efficient Visual Recognition
Early exits are placed exclusively within the classification branch, thus eliminating the need for linear separability in low-level features.
Multivariate Time Series Early Classification Across Channel and Time Dimensions
Nowadays, the deployment of deep learning models on edge devices for addressing real-world classification problems is becoming more prevalent.
AutoML4ETC: Automated Neural Architecture Search for Real-World Encrypted Traffic Classification
However, in production use, it has been shown that a DL classifier's performance inevitably decays over time.