Exploring Extreme Quantization in Spiking Language Models

4 May 2024

Papers citing "Exploring Extreme Quantization in Spiking Language Models"

4 / 4 papers shown

Title
BiT: Robustly Binarized Multi-distilled Transformer Zechun Liu Barlas Oğuz Aasish Pappu Lin Xiao Scott Yih Meng Li Raghuraman Krishnamoorthi Yashar Mehdad MQ 35 50 0 25 May 2022
Towards Efficient Post-training Quantization of Pre-trained Language Models Haoli Bai Lu Hou Lifeng Shang Xin Jiang Irwin King M. Lyu MQ 53 47 0 30 Sep 2021
Training Feedback Spiking Neural Networks by Implicit Differentiation on the Equilibrium State Mingqing Xiao Qingyan Meng Zongpeng Zhang Yisen Wang Zhouchen Lin 98 59 0 29 Sep 2021
GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language Understanding Alex Jinpeng Wang Amanpreet Singh Julian Michael Felix Hill Omer Levy Samuel R. Bowman ELM 294 6,927 0 20 Apr 2018