TriForce: Lossless Acceleration of Long Sequence Generation with Hierarchical Speculative Decoding

1 code implementation • 18 Apr 2024 • Hanshi Sun, Zhuoming Chen, Xinyu Yang, Yuandong Tian, Beidi Chen

However, key-value (KV) cache, which is stored to avoid re-computation, has emerged as a critical bottleneck by growing linearly in size with the sequence length.

BMAD: Benchmarks for Medical Anomaly Detection

1 code implementation • 20 Jun 2023 • Jinan Bao, Hanshi Sun, Hanqiu Deng, Yinsheng He, Zhaoxiang Zhang, Xingyu Li

However, there is a lack of a universal and fair benchmark for evaluating AD methods on medical images, which hinders the development of more generalized and robust AD methods in this specific domain.

Anomaly Detection Medical Diagnosis

Arrhythmia Classifier Based on Ultra-Lightweight Binary Neural Network

1 code implementation • 4 Apr 2023 • Ninghao Pu, Zhongxing Wu, Ao Wang, Hanshi Sun, Zijin Liu, Hao liu

With the development of deep learning, numerous ECG classification algorithms based on deep learning have emerged.

Binarization Classification +1

Arrhythmia Classifier using Binarized Convolutional Neural Network for Resource-Constrained Devices

1 code implementation • 7 May 2022 • Ao Wang, Wenxing Xu, Hanshi Sun, Ninghao Pu, Zijin Liu, Hao liu

In this paper, a binarized convolutional neural network suitable for ECG monitoring is proposed, which is hardware-friendly and more suitable for use in resource-constrained wearable devices.

Arrhythmia Classifier Using Convolutional Neural Network with Adaptive Loss-aware Multi-bit Networks Quantization

1 code implementation • 27 Feb 2022 • Hanshi Sun, Ao Wang, Ninghao Pu, Zhiqing Li, Junguang Huang, Hao liu, Zhi Qi

In order to adapt to our compression method, we need a smaller and simpler network.

Arrhythmia Detection Quantization