105 citations · 165 across the 8 of their papers we have counts for
4 papers · 1 filter
WrapNet: Neural Net Inference with Ultra-Low-Resolution Arithmetic
Renkun Ni, Hong-min Chu, Oscar Castañeda +3
Low-resolution neural networks represent both weights and activations with few bits, drastically reducing the multiplication complexity. Nonetheless, these products are accumulated…
Deep Learning with a Rethinking Structure for Multi-label Classification
Yao-Yuan Yang, Yi-An Lin, Hong-Min Chu +1
Multi-label classification (MLC) is an important class of machine learning problems that come with a wide spectrum of applications, each demanding a possibly different evaluation c…
Dynamic Principal Projection for Cost-Sensitive Online Multi-Label Classification
Hong-Min Chu, Kuan-Hao Huang, Hsuan-Tien Lin
We study multi-label classification (MLC) with three important real-world issues: online updating, label space dimensional reduction (LSDR), and cost-sensitivity. Current MLC algor…
Can Active Learning Experience Be Transferred?
Hong-Min Chu, Hsuan-Tien Lin
Active learning is an important machine learning problem in reducing the human labeling effort. Current active learning strategies are designed from human knowledge, and are applie…