77 citations · 349 across the 17 of their papers we have counts for
4 papers · 1 filter
BigColor: Colorization using a Generative Color Prior for Natural Images
Geonung Kim, Kyoungkook Kang, Seongtae Kim +5
For realistic and vivid colorization, generative priors have recently been exploited. However, such generative priors often fail for in-the-wild complex images due to their limited…
Squeezeformer: An Efficient Transformer for Automatic Speech Recognition
Sehoon Kim, Amir Gholami, Albert Shaw +5
The recently proposed Conformer model has become the de facto backbone model for various downstream speech tasks based on its hybrid attention-convolution architecture that capture…
A Fast Post-Training Pruning Framework for Transformers
Woosuk Kwon, Sehoon Kim, Michael W. Mahoney +3
Pruning is an effective way to reduce the huge inference cost of Transformer models. However, prior work on pruning Transformers requires retraining the models. This can add high t…
Terra: Imperative-Symbolic Co-Execution of Imperative Deep Learning Programs
Taebum Kim, Eunji Jeong, Geon-Woo Kim +4
Imperative programming allows users to implement their deep neural networks (DNNs) easily and has become an essential part of recent deep learning (DL) frameworks. Recently, severa…