PLUM: Improving Inference Efficiency By Leveraging Repetition-Sparsity Trade-Off

4 December 2023

Papers citing "PLUM: Improving Inference Efficiency By Leveraging Repetition-Sparsity Trade-Off"

9 / 9 papers shown

Title
ReCU: Reviving the Dead Weights in Binary Neural Networks Zihan Xu Mingbao Lin Jianzhuang Liu Jie Chen Ling Shao Yue Gao Yonghong Tian Rongrong Ji MQ 52 83 0 23 Mar 2021
SpAtten: Efficient Sparse Attention Architecture with Cascade Token and Head Pruning Hanrui Wang Zhekai Zhang Song Han 103 388 0 17 Dec 2020
SparseRT: Accelerating Unstructured Sparsity on GPUs for Deep Learning Inference Ziheng Wang 59 68 0 26 Aug 2020
Least squares binary quantization of neural networks Hadi Pouransari Zhucheng Tu Oncel Tuzel MQ 38 32 0 09 Jan 2020
Differentiable Soft Quantization: Bridging Full-Precision and Low-Bit Neural Networks Ruihao Gong Xianglong Liu Shenghu Jiang Tian-Hao Li Peng Hu Jiazhen Lin F. Yu Junjie Yan MQ 58 457 0 14 Aug 2019
LQ-Nets: Learned Quantization for Highly Accurate and Compact Deep Neural Networks Dongqing Zhang Jiaolong Yang Dongqiangzi Ye G. Hua MQ 59 703 0 26 Jul 2018
From Hashing to CNNs: Training BinaryWeight Networks via Hashing Qinghao Hu Peisong Wang Jian Cheng MQ 62 98 0 08 Feb 2018
Ternary Weight Networks Fengfu Li Bin Liu Xiaoxing Wang Bo Zhang Junchi Yan MQ 68 525 0 16 May 2016
XNOR-Net: ImageNet Classification Using Binary Convolutional Neural Networks Mohammad Rastegari Vicente Ordonez Joseph Redmon Ali Farhadi MQ 159 4,350 0 16 Mar 2016