DL2.0 Unit, I2R-TokyoTech Co-workshop on Deep Learning
| Day 1 | 7th March [PM] | Resonance@L13N |
| 14:00 - 14:30 | 30 mins | Topic: Towards Robust Compressed Convolutional Neural Networks
Presenter: Assoc. Prof Tsuyoshi Murata (Tokyo Tech) |
| 14:30 - 15:00 | 30 mins | Topic: Deep Learning Frameworks Portability Study: Post-K Perspective
Presenter: Dr Aleksandr Drozd (Tokyo Tech) |
| 15:00 - 15:30 | 30 mins | Topic: Optimizing The Bit Allocation for Compression Of Weights And Activations Of Deep Neural Networks
Presenter: Wang Zheng (DL2.0) |
| 15:30 - 16:00 | 30 mins | Topic: Dataflow-based Joint Quantization of Weights and Activations for Deep Neural Networks
Presenter: Geng Xue (DL2.0) |
| 16:00 - 17:30 | 1.5 hours | Deep dive on Model Compression [Neural Networks] |
| Day 2 | 8th March [AM] | Franklin@11S |
| 9:00 - 9:10 | 10 mins | Opening speech - Foo Chuan Sheng |
| 9:10 - 9:40 | 30 mins |
Introductory Talk: JST CREST Project Fast and cost-effective deep learning algorithm platform for video processing in social infrastructure.
Speaker - Prof Koichi Shinoda (Tokyo Tech) |
| 9:40 - 10:00 | 20 mins | Topic: Free Discussion Session |
| 10:00 - 10:15 | 15 mins | Tea Break (Snack) |
| 10:15 - 10:45 | 30 mins | Topic: Second Order Optimization for Distributed Data-parallel Deep Learning on 4000 GPUs
Presenter: Assoc Prof Rio Yokota (Tokyo Tech) |
| 10:45 - 11:05 | 20 mins | Topic: Accelerating Deep Learning with Distributed Computation and Second-Order Optimization
PhD Sharing: Mr. Yohei Tsuji (Tokyo Tech) |
| 11:05 - 11:25 | 20 mins | Topic: Accelerating Deep Learning with Distributed Computation and Second-Order Optimization: Future work
PhD Sharing: Mr. Kazuki Osawa (Tokyo Tech) |
| 11:25 - 11:55 | 30 mins | Topic: 100x speed up for Homomorphic Encryption Meets Deep Learnings
Presenter: Khin Mi Mi Aung (DL2.0) |
| 12:00 - 13:00 | 1 hours | Deep dive on Acceleration Homomorphic Encryption |
| 13:00 - 14:30 | 1.5 hour | Lunch |
| Day 2 | 8th March [PM] | Resonance@L13N |
| 14:30 - 15:00 | 30 mins | Topic: Towards Large-Scale Few-Shot Learning
Presenter: Asst Prof Nakamasa Inoue (Tokyo Tech) |
| 15:00 - 15:20 | 20 mins | Topic: Approaches for Data Augmentation for Videos Using GAN
PhD Sharing: Mr. Pablo Cervantes (Tokyo Tech) |
| 15:20 - 15:40 | 20 mins | Topic: Second Order Methods and Other Techniques for Fast Training of GAN
PhD Sharing: Mr Yasin Yazici (DL2.0) |
| 15:40 - 16:00 | 20 mins | Tea Break (Snack) |
| 16:00 - 16:30 | 30 mins | Topic: Efficient FPGA Implementation for Deep Learning Based Applications
Presenter: Assoc Prof Hiroki Nakahara (Tokyo Tech) |
| 16:30 - 17:00 | 30 mins | Topic: Generalization error analysis of deep learning and its application to model compression
Presenter: Assoc Prof Taiji Suzuki (Tokyo Tech) |
| 17:00 - 17:30 | 30 mins | Topic: Video Classification on YouTube-8M Dataset from Raw Video Data
Presenter: Wang Anran (DL2.0) |
| 17:30 - 18:00 | 30 mins | Topic: Training Very Deep Object Detectors with Large Minibatch SGD
Presenter: Cai Lile (DL2.0) |
| 18:00 - 18:30 | 30 mins | Topic: Towards Convergence of Extreme Computing and Big Data Centers
Presenter: Prof. Satoshi Matsuoka (Tokyo Tech) |
| 18:30 - 19:00 | 30 mins | Deep Dive on Deep Learning (GANS, Learning with Less Data, Distributed Deep Learning, Error Analysis, Deep Learning for Visual Classifications & Detection) |
| Day 3 | 9th March [AM] | Resonance@L13N |
| 10:00 - 11:30 | 1.5 hours | Topic: Discussion on Collaboration Direction & Partnership
Attendees: (Tokyo Tech) Prof Koichi Shinoda, Assoc Prof Rio Yokota and other professors and students (I2R) Dr Vijay Chandrasekhar, Dr Foo Chuan Sheng and other researchers |
| 11:30 - 12:00 | 30 mins | Closing on Visit |