Meetup No | Speaker | Title | Slide |
---|---|---|---|
#1 | Nguyễn Duy Khương | Deep Learning for Sparse Big Data in Recommendation Systems | |
#1 | Đinh Quang Huy | Xây dựng AI startup | |
#2 | Văn Phú Quang Huy, Tạ Đức Tùng, Khang Pham | Gradient Descent Optimization Algorithms | link |
#3 | Nguyễn Tuấn Dương, Nguyễn Phước Tất Đạt | Generative Adversarial Networks (GANs) | link |
#4 | Văn Phú Quang Huy | KaoNet v2: Face Translation using CycleGAN | link |
#5 | Văn Phú Quang Huy | 3 Challenges in Customer Feedback Classification | link |
#5 | Bùi Hồng Hà | From Hadoop to Data Ware House | link |
#6 | Khang Phạm | Word Embedding | link |
#7 | Đỗ Minh Hải | Recurent Neural Networks | link |
#8 | Cao Vũ Dũng | Sequence to Sequence Models: A Review | link |
#9 | Trần Công Khanh | HMM at a glance | link |
#9 | Nguyễn Phước Tất Đạt | An introduction to Mask-RCNN | link |
#10 | Phong Nguyễn | Deep Reinforcement Learning | link |
#10 | Nguyễn Duy Khương | Deep Reinforcement Learning for Recommendation Systems | |
#11 | Nguyễn Tuấn Dương | Policy Gradients (PG) | link |
#11 | Phan Doãn Phúc | Triplet Loss – the Good the Bad and the Ugly | link |
No | Speaker | Title | Slide |
---|---|---|---|
1 | Đỗ Minh Hải | [ICML] Learning Longer-term Dependencies in RNNs with Auxiliary Losses | link |
2 | Phạm Quang Khang | [CVPR] MobileNetV2: Inverted Residuals and Linear Bottlenecks | link |
3 | Trần Công Khanh | [ACL] Learning to Control the Specificity in Neural Response Generation | link |
4 | Nguyễn Tuấn Dương | [ICML] Fixing a broken ELBO | link |
5 | Nguyễn Phước Tất Đạt | [ACL] Simple and Effective Multi-Paragraph Reading Comprehension | link |
6 | Văn Phú Quang Huy | [ACL] Hierarchical Neural Story Generation | link |