Network Memory Footprint Compression Through Jointly Learnable Codebooks and Mappings

29 September 2023

Papers citing "Network Memory Footprint Compression Through Jointly Learnable Codebooks and Mappings"

19 / 19 papers shown

Title
PowerQuant: Automorphism Search for Non-Uniform Quantization Edouard Yvinec Arnaud Dapogny Matthieu Cord Kévin Bailly MQ 58 16 0 24 Jan 2023
LLM.int8(): 8-bit Matrix Multiplication for Transformers at Scale Tim Dettmers M. Lewis Younes Belkada Luke Zettlemoyer MQ 119 664 0 15 Aug 2022
QDrop: Randomly Dropping Quantization for Extremely Low-bit Post-Training Quantization Xiuying Wei Ruihao Gong Yuhang Li Xianglong Liu F. Yu MQ VLM 98 178 0 11 Mar 2022
PokeBNN: A Binary Pursuit of Lightweight Accuracy Yichi Zhang Zhiru Zhang Lukasz Lew MQ 79 61 0 30 Nov 2021
RED++ : Data-Free Pruning of Deep Neural Networks via Input Splitting and Output Merging Edouard Yvinec Arnaud Dapogny Matthieu Cord Kévin Bailly 110 17 0 30 Sep 2021
CLIPScore: A Reference-free Evaluation Metric for Image Captioning Jack Hessel Ari Holtzman Maxwell Forbes Ronan Le Bras Yejin Choi CLIP 169 1,589 0 18 Apr 2021
BRECQ: Pushing the Limit of Post-Training Quantization by Block Reconstruction Yuhang Li Ruihao Gong Xu Tan Yang Yang Peng Hu Qi Zhang F. Yu Wei Wang Shi Gu MQ 153 444 0 10 Feb 2021
Up or Down? Adaptive Rounding for Post-Training Quantization Markus Nagel Rana Ali Amjad M. V. Baalen Christos Louizos Tijmen Blankevoort MQ 97 588 0 22 Apr 2020
PIQA: Reasoning about Physical Commonsense in Natural Language Yonatan Bisk Rowan Zellers Ronan Le Bras Jianfeng Gao Yejin Choi OOD LRM 192 1,847 0 26 Nov 2019
Data-Free Quantization Through Weight Equalization and Bias Correction Markus Nagel M. V. Baalen Tijmen Blankevoort Max Welling MQ 75 515 0 11 Jun 2019
EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks Mingxing Tan Quoc V. Le 3DV MedIm 182 18,224 0 28 May 2019
BoolQ: Exploring the Surprising Difficulty of Natural Yes/No Questions Christopher Clark Kenton Lee Ming-Wei Chang Tom Kwiatkowski Michael Collins Kristina Toutanova 253 1,562 0 24 May 2019
Improving Neural Network Quantization without Retraining using Outlier Channel Splitting Ritchie Zhao Yuwei Hu Jordan Dotzel Christopher De Sa Zhiru Zhang OODD MQ 123 311 0 28 Jan 2019
Quantizing deep convolutional networks for efficient inference: A whitepaper Raghuraman Krishnamoorthi MQ 141 1,021 0 21 Jun 2018
MobileNetV2: Inverted Residuals and Linear Bottlenecks Mark Sandler Andrew G. Howard Menglong Zhu A. Zhmoginov Liang-Chieh Chen 228 19,353 0 13 Jan 2018
DeepLab: Semantic Image Segmentation with Deep Convolutional Nets, Atrous Convolution, and Fully Connected CRFs Liang-Chieh Chen George Papandreou Iasonas Kokkinos Kevin Patrick Murphy Alan Yuille SSeg 273 18,298 0 02 Jun 2016
Learning both Weights and Connections for Efficient Neural Networks Song Han Jeff Pool J. Tran W. Dally CVBM 320 6,715 0 08 Jun 2015
Compressing Neural Networks with the Hashing Trick Wenlin Chen James T. Wilson Stephen Tyree Kilian Q. Weinberger Yixin Chen 168 1,191 0 19 Apr 2015
Modern hierarchical, agglomerative clustering algorithms Daniel Müllner 193 670 0 12 Sep 2011