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- Denso IT Laboratory Inc. (Japan)JP4 papers
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cs.CL2020
How LSTM Encodes Syntax: Exploring Context Vectors and Semi-Quantization on Natural Text
Chihiro Shibata, Kei Uchiumi, Daichi Mochihashi
Long Short-Term Memory recurrent neural network (LSTM) is widely used and known to capture informative long-term syntactic dependencies. However, how such information are reflected…
cs.CV2020
Rethinking PointNet Embedding for Faster and Compact Model
Teppei Suzuki, Keisuke Ozawa, Yusuke Sekikawa
PointNet, which is the widely used point-wise embedding method and known as a universal approximator for continuous set functions, can process one million points per second. Nevert…