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All Technical Committee Conferences (Searched in: All Years)
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Search Results: Conference Papers |
Conference Papers (Available on Advance Programs) (Sort by: Date Descending) |
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Committee |
Date Time |
Place |
Paper Title / Authors |
Abstract |
Paper # |
NC, IBISML, IPSJ-MPS, IPSJ-BIO [detail] |
2019-06-18 13:55 |
Okinawa |
Okinawa Institute of Science and Technology |
Additive or Concatenating Skip-connections Overcome the Degradation Problem of the Classic Feedforward Neural Network Yasutaka Furusho, Kazushi Ikeda (NAIST) NC2019-17 IBISML2019-15 |
The classic feedforward neural networks like the multilayer perceptron (MLP) degrades its empirical risk by training eve... [more] |
NC2019-17 IBISML2019-15 pp.75-80(NC), pp.97-102(IBISML) |
NC, IBISML, IPSJ-MPS, IPSJ-BIO [detail] |
2019-06-18 14:20 |
Okinawa |
Okinawa Institute of Science and Technology |
ResNet and Batch-normalization Improve Data Separation Ability Yasutaka Furusho, Kazushi Ikeda (NAIST) NC2019-18 IBISML2019-16 |
The skip-connection and the batch-normalization (BN) in ResNet enable an extreme deep neural network to be trained with ... [more] |
NC2019-18 IBISML2019-16 pp.81-86(NC), pp.103-108(IBISML) |
NC, IBISML, IPSJ-MPS, IPSJ-BIO [detail] |
2019-06-18 14:45 |
Okinawa |
Okinawa Institute of Science and Technology |
Theoretical Analysis of the Fixup Initialization for Fast Convergence and High Generalization Ability Yasutaka Furusho, Kazushi Ikeda (NAIST) NC2019-19 IBISML2019-17 |
The Fixup initialization is a new initialization method of ResNet for a fast convergence with a high learning rate of SG... [more] |
NC2019-19 IBISML2019-17 pp.87-92(NC), pp.109-114(IBISML) |
IBISML |
2019-03-06 10:00 |
Tokyo |
RIKEN AIP |
Effects of Batch-normalization on Fisher Information Matrix of ResNet Yasutaka Furusho, Kazushi Ikeda (NAIST) IBISML2018-110 |
ResNet have intensively been studied and many techniques have been used for better performance.
Batch-normalization (BN... [more] |
IBISML2018-110 pp.39-44 |
IBISML |
2019-03-06 10:30 |
Tokyo |
RIKEN AIP |
Wider neural networks with ReLU activation generalize better Yasutaka Furusho, Kazushi Ikeda (NAIST) IBISML2018-111 |
Model size determination is important in machine learning since a larger model leads to overfitting, that is, a small tr... [more] |
IBISML2018-111 pp.45-50 |
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