|
Toward Training Recurrent Neural Networks for Lifelong Learning
|
|
Shagun Sodhani, Sarath Chandar, Yoshua Bengio
|
32 |
1 |
1–35 |
2020 |
16.07 |
|
Average Rating: 0.0 / 5
(0 Reviews)
|
|
A Continuous-Time Analysis of Distributed Stochastic Gradient
|
|
Nicholas M. Boffi, Jean-Jacques E. Slotine
|
32 |
1 |
36–96 |
2020 |
19.99 |
|
Average Rating: 0.0 / 5
(0 Reviews)
|
|
On Kernel Method–Based Connectionist Models and Supervised Deep Learning Without Backpropagation
|
|
Shiyu Duan, Shujian Yu, Yunmei Chen, Jose C. Principe
|
32 |
1 |
97–135 |
2020 |
58.09 |
|
Average Rating: 0.0 / 5
(0 Reviews)
|
|
Storing Object-Dependent Sparse Codes in a Willshaw Associative Network
|
|
Luis Sa-Couto, Andreas Wichert
|
32 |
1 |
136–152 |
2020 |
18.78 |
|
Average Rating: 0.0 / 5
(0 Reviews)
|
|
A Robust Model of Gated Working Memory
|
|
Anthony Strock, Xavier Hinaut, Nicolas P. Rougier
|
32 |
1 |
153–181 |
2020 |
20.41 |
|
Average Rating: 0.0 / 5
(0 Reviews)
|
|
An FPGA Implementation of Deep Spiking Neural Networks for Low-Power and Fast Classification
|
|
Xiping Ju, Biao Fang, Rui Yan, Xiaoliang Xu, Huajin Tang
|
32 |
1 |
182–204 |
2020 |
19.8 |
|
Average Rating: 0.0 / 5
(0 Reviews)
|
|
Iterative Retrieval and Block Coding in Autoassociative and Heteroassociative Memory
|
|
Andreas Knoblauch, Günther Palm
|
32 |
1 |
205–260 |
2020 |
20.95 |
|
Average Rating: 0.0 / 5
(0 Reviews)
|
|
Optimal Sampling of Parametric Families: Implications for Machine Learning
|
|
Adrian E. G. Huber, Jithendar Anumula, Shih-Chii Liu
|
32 |
1 |
261–279 |
2020 |
13.24 |
|
Average Rating: 0.0 / 5
(0 Reviews)
|