@inproceedings{oai:oist.repo.nii.ac.jp:00001401,
 author = {Jung, Minju and Tani, Jun},
 book = {第 28 回 日本神経回路学会全国大会 講演論文集, The Proceedings of the 28th Annual Conference of the Japanese Neural Network Society},
 month = {Oct},
 note = {Convolutional recurrent neural networks (ConvRNNs) provide robust spatio-temporal information processing capabilities for contextual video recognition, but require extensive computation that slows down training. Inspired by detrending methods, we propose “adaptive detrending” (AD) for temporal normalization in order to accelerate the training of ConvRNNs, especially of convolutional gated recurrent unit (ConvGRU).},
 pages = {48--49},
 publisher = {Japanese Neural Network Society},
 title = {Adaptive Detrending for Accelerating the Training of Convolutional Recurrent Neural Networks},
 year = {2018}
}