Name
Title | ||
|---|---|---|
Benefits of Jointly Training Autoencoders: An Improved Neural Tangent Kernel Analysis |
Abstract | ||
|---|---|---|
Deep neural networks can achieve impressive performance in the regime where they are massively over-parameterized. Consequently, over the past year, there has been a growing interest in analyzing optimization and generalization properties of over-parameterized networks. However, the majority of existing work only applies to supervised learning. The role of over-parameterization in the unsupervised... |
Year | DOI | Venue |
|---|---|---|
2021 | 10.1109/TIT.2021.3065212 | IEEE Transactions on Information Theory |
Keywords | DocType | Volume |
Training,Kernel,Convergence,Task analysis,Decoding,Heuristic algorithms,Data models | Journal | 67 |
Issue | ISSN | Citations |
7 | 0018-9448 | 1 |
PageRank | References | Authors |
0.37 | 0 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Thanh Nguyen | 1 | 24 | 5.76 |
| Raymond K. Wong | 2 | 661 | 105.45 |
| Chinmay Hegde | 3 | 977 | 63.40 |