IEEE

PASS++: A Dual Bias Reduction Framework for Non-Exemplar Class-Incremental Learning

Abstract: Class-incremental learning (CIL) aims to continually recognize new classes while preserving the discriminability of previously learned ones. Most existing CIL methods are exemplar-based, ...
InfoQ

Evaluating AI Agents in Practice: Benchmarks, Frameworks, and Lessons Learned

This article introduces practical methods for evaluating AI agents operating in real-world environments. It explains how to ...
IEEE

Sample Weighting Methods for Compensating Class Imbalance in Elephant Flow Classification

Abstract: Accurately identifying and classifying elephant flows is crucial in many network traffic management applications. However, the inherent class imbalance between elephant and mouse flows ...