| Date (MM/DD) |
Time |
Location |
Presenter/Title |
| 11/10 |
14:20-16:00 |
online (see announcement mail) |
Yusuke Sekikawa
[@Denso IT] |
Event-based Vision: Emerging Sensors and Processors |
Ikuro Sato
[@Denso IT, Tokyo Tech] |
Integer-Decomposition Method for Network Compression |
|
| 10/13 |
14:20-16:00 |
online (see announcement mail) |
Koki Madono
[@AIST, Waseda Univ] |
Block-wise Scrambled Image Recognition Using Adaptation Network |
Toshiki Masuyama
[@AIST, Waseda Univ] |
Self-supervised Neural Audio-Visual Sound Source Localization via Probabilistic Spatial Modeling |
|
| 08/11 |
15:25-17:05 |
online (see announcement mail) |
Atsushi Nitanda
[@U-Tokyo] |
Optimization of neural networks in function spaces |
Kenta Oono
[@Susuki Lab/PFN] |
Theoretical analysis of graph neural networks---expressive power, optimization and generalization |
|
| 07/14 |
15:25-17:05 |
online (see announcement mail) |
Hanna Hoshino
[@Yokota Lab] |
Towards reproducible and reliable experiments: Weights and Biases |
Shun Iwase
[@Yokota Lab] |
RePOSE: Render-and-Compare Iterative Pose Refinement Network for 6DoF Pose Estimation |
|
| 06/09 |
15:25-17:05 |
online (see announcement mail) |
Mohamed Wahib
[@AIST/RWBC-OIL/RIKEN] |
Scaling Distributed Deep Learning Workloads beyond the Memory Capacity with KARMA |
Yosuke Oyama
[@Matsuoka Lab] |
The Case for Strong Scaling in Deep Learning: Training Large 3D CNNs with Hybrid Parallelism |
|
| 05/12 |
15:25-17:05 |
online (see announcement mail) |
Ruidong Jin
[M2@Murata Lab] |
An Application of Bipartite Graph Convolutional Networks on Metropolitan Emergency Medical Service Demand Analysis |
Ryuta Matsuno
[M2@Murata Lab] |
Optimizing convolutional kernels of graphs for better performance |
|
| 04/14 |
15:25-17:05 |
online (see announcement mail) |
Asako Kanezaki
[@TokyoTech] |
RotationNet for Joint Object Categorization and Unsupervised Pose Estimation from Multi-view Images |
Rei Kawakami
[@TokyoTech/Denso IT Laboratory] |
Improving Robustness in Recognition: Motion, open-set, and multi-task learning |
|
| 03/10 |
15:05-16:35 |
online (see announcement mail) |
Ikuro Sato
[@Denso IT Lab] |
Classifier Anonymization Technique for Co-Adaptation Breaking |
Hiroki Naganuma
[@Yokota Lab] |
Trends in Deep Learning Theory at NeurIPS 2019 |
|
| 02/12 |
15:05-16:35 |
GSIC２階会議室 |
Shuhei Watanabe
[@AIST] |
Speeding up of the Nelder-Mead Method by Data-driven Speculative Execution |
Yoshihiko Ozaki
[@AIST] |
Practical Deep Neural Network Performance Prediction for Hyperparameter Optimization |
Yuki Tanigaki
[@AIST] |
Paper presentation of "NAS-Bench-101: Towards Reproducible Neural Architecture Search" |
|
| 01/07 |
15:05-16:35 |
W8E 10F large meeting room |
Masato Motomura
[@Motomura Lab] |
AI Computing Architectures: Recent Works and Future Efforts |
|