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Neural Networks, Volume 137
Volume 137, May 2021
- Vignesh Srinivasan
, Csaba Rohrer, Arturo Marbán, Klaus-Robert Müller
Robustifying models against adversarial attacks by Langevin dynamics. 1-17
- Qiankun Song
Passive filter design for fractional-order quaternion-valued neural networks with neutral delays and external disturbance. 18-30
- Jianbo Yu
Extracting and inserting knowledge into stacked denoising auto-encoders. 31-42
- Remco Royen
MaskLayer: Enabling scalable deep learning solutions by training embedded feature sets. 43-53
- Daming Shi, Maysam Orouskhani, Yasin Orouskhani:
A conditional Triplet loss for few-shot learning and its application to image co-segmentation. 54-62
- Dhanush Dharmaretnam, Chris Foster
Words as a window: Using word embeddings to explore the learned representations of Convolutional Neural Networks. 63-74
- Zhongying Dong
A training algorithm with selectable search direction for complex-valued feedforward neural networks. 75-84 - Scott Mahan, Emily J. King
Nonclosedness of sets of neural networks in Sobolev spaces. 85-96
- Bruno R. R. Boaretto
The role of individual neuron ion conductances in the synchronization processes of neuron networks. 97-105
- Changqin Huang
Stochastic configuration network ensembles with selective base models. 106-118
- Johannes Schmidt-Hieber
The Kolmogorov-Arnold representation theorem revisited. 119-126 - Naoki Hayashi
The exact asymptotic form of Bayesian generalization error in latent Dirichlet allocation. 127-137 - Sicong Zang
Controllable stroke-based sketch synthesis from a self-organized latent space. 138-150 - Shrijita Bhattacharya, Tapabrata Maiti:
Statistical foundation of Variational Bayes neural networks. 151-173
- Fabio Rizzoglio
Building an adaptive interface via unsupervised tracking of latent manifolds. 174-187 - Chengli Peng
Bilateral attention decoder: A lightweight decoder for real-time semantic segmentation. 188-199
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