Search Results for author:
Found 3 papers, 0 papers with code
randomHAR: Improving Ensemble Deep Learners for Human Activity Recognition with Sensor Selection and Reinforcement Learning
Deep learning has proven to be an effective approach in the field of Human activity recognition (HAR), outperforming other architectures that require manual feature engineering.
Universal Distributional Decision-based Black-box Adversarial Attack with Reinforcement Learning
In this work, we propose a pixel-wise decision-based attack algorithm that finds a distribution of adversarial perturbation through a reinforcement learning algorithm.
McXai: Local model-agnostic explanation as two games
Our method leverages Monte Carlo tree search and models the process of generating explanations as two games.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
