2 citations · 3 across the 3 of their papers we have counts for
Showing cs.LGShow all
2 papers · 1 filter
cs.LG2019
Effective Network Compression Using Simulation-Guided Iterative Pruning
Dae-Woong Jeong, Jaehun Kim, Youngseok Kim +2
Existing high-performance deep learning models require very intensive computing. For this reason, it is difficult to embed a deep learning model into a system with limited resource…
cs.LG2018★ 2 cited
End-to-end Multimodal Emotion and Gender Recognition with Dynamic Joint Loss Weights
Myungsu Chae, Tae-Ho Kim, Young Hoon Shin +2
Multi-task learning is a method for improving the generalizability of multiple tasks. In order to perform multiple classification tasks with one neural network model, the losses of…