361 citations · 545 across the 3 of their papers we have counts for
4 papers
Designing Network Design Strategies Through Gradient Path Analysis
Chien-Yao Wang, Hong-Yuan Mark Liao, I-Hau Yeh
Designing a high-efficiency and high-quality expressive network architecture has always been the most important research topic in the field of deep learning. Most of today's networ…
You Only Learn One Representation: Unified Network for Multiple Tasks
Chien-Yao Wang, I-Hau Yeh, Hong-Yuan Mark Liao
People ``understand'' the world via vision, hearing, tactile, and also the past experience. Human experience can be learned through normal learning (we call it explicit knowledge),…
Batch-Augmented Multi-Agent Reinforcement Learning for Efficient Traffic Signal Optimization
Yueh-Hua Wu, I-Hau Yeh, David Hu +1
The goal of this work is to provide a viable solution based on reinforcement learning for traffic signal control problems. Although the state-of-the-art reinforcement learning appr…
CSPNet: A New Backbone that can Enhance Learning Capability of CNN
Chien-Yao Wang, Hong-Yuan Mark Liao, I-Hau Yeh +3
Neural networks have enabled state-of-the-art approaches to achieve incredible results on computer vision tasks such as object detection. However, such success greatly relies on co…