Program / SS-13: Challenges and Frontiers in Integrating Evolutionary Computation and Deep Learning
SS-13: Challenges and Frontiers in Integrating Evolutionary Computation and Deep Learning
November 03 (Tuesday) · 10:30–12:30 · Room 3
Chair: Yuefeng Xu (Niigata University), Jun Yu (Niigata University)
Back to timetableMixed-Variable Multi-Objective Optimization by Surrogate-Assisted Evolutionary Algorithm with Branch-and-Bound Method
SRIME-Greedy Search for Robust Steel Defect Detection with a Task-Adaptive Quality-Aware Head
Discrete Mask-Guided Sparse Adversarial Attack for Speaker Recognition via GANs
Explainability-Guided Sparse Black-Box Adversarial Attacks via Natural Evolution Strategies
Presentations finish at 12:10. The scheduled session ends at 12:30.
Full paper: 15 minutes presentation + 5 minutes Q&A. Short, abstract-only and late breaking papers: 10 minutes presentation + 5 minutes Q&A. Speakers should bring their own laptop; presentation PCs are not provided.