One paper is accepted to ICML 2022

Our paper entitled “Multicoated Supermasks Enhance Hidden Networks” has been accepted to ICML 2022. Our second year Master’s student Yasuyuki Okoshi will give a short presentation at the conference in July 2022. Congratulations! ICML 2022 (held in a hybrid format (both in-person at Baltimore and virtually) on 17th-23rd July 2022)

AI chip “Hiddenite” unveiled at ISSCC

At the 2022 International Solid-State Circuits Conference (ISSCC), known as the “Olympics of semiconductor integrated circuits”, we have presented “Hiddenite: 4K-PE Hidden Network Inference 4D-Tensor Engine Exploiting On-Chip Model Construction Achieving 34.8-to-16.0TOPS/W for CIFAR-100 and ImageNet” and provided a demonstration of DNN inference with a real chip.

One paper is accepted to ISSCC 2022

Our paper entitled “Hiddenite: 4K-PE Hidden Network Inference 4D-Tensor Engine Exploiting On-Chip Model Construction Achieving 34.8-to-16.0TOPS/W for CIFAR-100 and ImageNet” has been accepted to ISSCC 2022. Congratulations to the co-first authors, Ph.D. student Kazutoshi Hirose and Associate Professor Jaehoon Yu! Kazutoshi will give a presentation at the conference on February Read more…

One paper is accepted to BMVC 2021

Our paper entitled “Hidden-Fold Networks: Random Recurrent Residuals Using Sparse Supermasks” has been accepted to BMVC 2021. Ph.D. student Ángel López García-Arias will give a poster presentation at the conference. BMVC 2021 (held virtually on 22nd-25th November 2021)

One paper is accepted to FPT 2021

Our paper entitled “A High-Performance and Flexible FPGA Inference Accelerator for Decision Forests Based on Prior Feature Space Partitioning” has been accepted to FPT 2021. Asst. Prof. Thiem will give a presentation at the conference. FPT 2021 (held virtually on 6th-10th December 2021)