1 citations · 1 across the 2 of their papers we have counts for
3 papers
cs.CV2019
Deep Elastic Networks with Model Selection for Multi-Task Learning
Chanho Ahn, Eunwoo Kim, Songhwai Oh
In this work, we consider the problem of instance-wise dynamic network model selection for multi-task learning. To this end, we propose an efficient approach to exploit a compact b…
cs.CV2019
Deep Virtual Networks for Memory Efficient Inference of Multiple Tasks
Eunwoo Kim, Chanho Ahn, Philip H. S. Torr +1
Deep networks consume a large amount of memory by their nature. A natural question arises can we reduce that memory requirement whilst maintaining performance. In particular, in th…
cs.CV2017★ 1 cited
NestedNet: Learning Nested Sparse Structures in Deep Neural Networks
Eunwoo Kim, Chanho Ahn, Songhwai Oh
Recently, there have been increasing demands to construct compact deep architectures to remove unnecessary redundancy and to improve the inference speed. While many recent works fo…