| 49 |
On the Relationship among Convolution Attention and GNN |
2022/05/06 |
杜岳華 |
|
| 48 |
Model-Based Reinforcement Learning |
2021/07/16 |
翁崇恒 |
|
| 47 |
深度學習也可以學傅立葉轉換 |
2020/12/04 |
杜岳華 |
|
| 45 |
Modeling the Dynamics of SGD by Stochastic Differential Equation |
2020/09/11 |
Mark Chang |
|
| 44 |
神經網路的黑執事 |
2020/08/21 |
Mark Liou |
|
| 43 |
幾何深度學習是在幾何什麼的？ |
2020/07/24 |
杜岳華 |
|
| 42 |
information in the weights |
2020/06/19 |
Mark Chang |
|
| 41 |
NLP Landing & Machine Reading Comprehension |
2020/05/29 |
Ian & Hsiang |
|
| 40 |
Instance Segmentation |
2020/05/01 |
顏志翰 (Bean) |
|
| 39 |
高維資料的降維演算法及視覺化 |
2020/03/20 |
杜岳華 |
|
| 38 |
PAC Bayesian for Deep Learning |
2020/02/14 |
Mark Chang |
|
| 37 |
Introduction to geometric deep learning with implementation |
2020/01/10 |
杜岳華 |
|
| 36 |
Explainable Artificial Intelligence |
2019/12/13 |
何宗諭 (Jiero) |
|
| 34 |
High-Dimensional Continuous Control Using Generalized Advantage Estimation |
2019/10/04 |
Cecile Liu |
|
| 33 |
Hardware Accelerators for Machine Learning |
2019/08/23 |
林家銘 |
|
| 32 |
Transfer Learnings & Multitask Learning |
2019/07/19 |
Mark Chang |
|
| 31 |
Machine Teaching |
2019/06/28 |
Mark Liou |
|
| 30 |
The Hackathon/Formosa Grand Challenge Between Us |
2019/05/17 |
Ryan Chao |
|
| 29 |
Domain adaptation |
2019/03/08 |
Mark Chang |
|
| 28 |
Deep knowledge representation and reasoning |
2019/02/15 |
Chin-Hui Chen |
|
| 27 |
Semi-Supervised Classification with Graph Convolutional Networks |
2019/01/11 |
Bean Yen |
|
| 26 |
Machine Reading Comprehension |
2018/12/07 |
Nat, Alice & Ian |
|
| 24 |
SOC: Social-network Opinion and Comment |
2018/10/12 |
Nat Lee |
|
| 23 |
Recommender System |
2018/09/14 |
SAS |
|
| 22 |
Deep Bilateral Learning for Real-Time Image Enhancement |
2018/08/17 |
Ken Huang |
|
| 21 |
Dynamic Routing Between Capsules |
2018/07/06 |
Jiero Ho |
|
| 20 |
VAE: A generative model for 2D anime character faces |
2018/06/08 |
Nat, Boris, Alice, Ian |
|
| 19 |
Towards Principled Methods for Training Generative Adversarial Networks |
2018/05/11 |
Mark Chang |
|
| 18 |
Deep Generative Models @ Deep Learning Book Chapter 20 |
2018/04/13 |
文字摘要 |
|
| 17 |
Approximate Inference @ Deep Learning Book Chapter 19 |
2018/03/16 |
文字摘要 |
|
| 15 |
Confronting the Partition Function @ Deep Learning Book Chapter 18 |
2018/01/12 |
何宗諭 (Jiero) |
|
| 14 |
Monte Carlo Methods @ Deep Learning Book Chapter 17 |
2017/12/15 |
Ian Wang |
|
| 12 |
Structured Probabilistic Models @ Deep Learning Book Chapter 16 |
2017/10/27 |
文字摘要 |
|
| 11 |
Autoencoders @ Deep Learning Book Chapter 14 |
2017/09/08 |
Nat Lee |
|
| 10 |
Linear Factor Models @ Deep Learning Book Chapter 13 |
2017/08/11 |
文字摘要 |
|
| 09 |
Representation Learning @ Deep Learning Book Chapter 15 |
2017/07/07 |
文字摘要 |
|
| – |
Applications @ Deep Learning Book Chapter 12 |
|
|
|
| – |
Practical Methodology @ Deep Learning Book Chapter 11 |
|
|
|
| 07 |
Recurrent and Recursive Nets @ Deep Learning Book Chapter 10 |
2017/05/05 |
文字摘要 |
|
| 06 |
Convolutional Networks @ Deep Learning Book Chapter 9 |
2017/04/14 |
文字摘要 |
|
| 05 |
Optimization for Training Deep Models @ Deep Learning Book Chapter 8 |
2017/03/10 |
文字摘要 |
|
| 04 |
Regularization for Deep Learning @ Deep Learning Book Chapter 7 |
2017/02/10 |
文字摘要 |
|
| 03 |
Deep Feedforward Networks @ Deep Learning Book Chapter 6 |
|
|
|
