Learning Compact Neural Networks
Event details
| Date | 03.09.2018 |
| Hour | 09:30 › 11:30 |
| Speaker | Shuxuan Guo |
| Location | |
| Category | Conferences - Seminars |
EDIC candidacy exam
Exam president: Prof. Martin Jaggi
Thesis advisor: Prof. Pascal Fua
Thesis co-advisor: Dr. Mathieu Salzmann
Co-examiner: Dr. François Fleuret
Abstract
Background papers
Distilling the Knowledge in a Neural Network, by Hinton, G., Vinyals, O., Dean, J.
Rethinking Feature Distribution for Loss Functions in Image Classification, by Wan, W., et al.
Constrained Convolutional Neural Networks for Weakly Supervised Segmentation, by Pathak, D., et al.
Exam president: Prof. Martin Jaggi
Thesis advisor: Prof. Pascal Fua
Thesis co-advisor: Dr. Mathieu Salzmann
Co-examiner: Dr. François Fleuret
Abstract
Background papers
Distilling the Knowledge in a Neural Network, by Hinton, G., Vinyals, O., Dean, J.
Rethinking Feature Distribution for Loss Functions in Image Classification, by Wan, W., et al.
Constrained Convolutional Neural Networks for Weakly Supervised Segmentation, by Pathak, D., et al.
Practical information
- General public
- Free
Contact
- EDIC - [email protected]