Parallel Proportional Fusion of Spiking Quantum Neural Network for Optimizing Image Classification

no code implementations • 1 Apr 2024 • Zuyu Xu, Kang Shen, Pengnian Cai, Tao Yang, Yuanming Hu, Shixian Chen, Yunlai Zhu, Zuheng Wu, Yuehua Dai, Jun Wang, Fei Yang

The recent emergence of the hybrid quantum-classical neural network (HQCNN) architecture has garnered considerable attention due to the potential advantages associated with integrating quantum principles to enhance various facets of machine learning algorithms and computations.

Image Classification

Breaking MLPerf Training: A Case Study on Optimizing BERT

no code implementations • 4 Feb 2024 • YongDeok Kim, Jaehyung Ahn, Myeongwoo Kim, Changin Choi, Heejae Kim, Narankhuu Tuvshinjargal, Seungwon Lee, Yanzi Zhang, Yuan Pei, Xiongzhan Linghu, Jingkun Ma, Lin Chen, Yuehua Dai, Sungjoo Yoo

Speeding up the large-scale distributed training is challenging in that it requires improving various components of training including load balancing, communication, optimizers, etc.

Hyperparameter Optimization