Quantization and Training of Neural Networks for Efficient Integer-Arithmetic-Only Inference

15 December 2017

Papers citing "Quantization and Training of Neural Networks for Efficient Integer-Arithmetic-Only Inference"

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Title
Temporal Feature Matters: A Framework for Diffusion Model Quantization Yushi Huang Ruihao Gong Xianglong Liu Jing Liu Yuhang Li Jiwen Lu Dacheng Tao DiffM MQ 49 0 0 28 Jul 2024
Mixed Non-linear Quantization for Vision Transformers Gihwan Kim Jemin Lee Sihyeong Park Yongin Kwon Hyungshin Kim MQ 40 0 0 26 Jul 2024
Comprehensive Study on Performance Evaluation and Optimization of Model Compression: Bridging Traditional Deep Learning and Large Language Models Aayush Saxena Arit Kumar Bishwas Ayush Ashok Mishra Ryan Armstrong 21 1 0 22 Jul 2024
Inverted Activations Georgii Sergeevich Novikov Ivan Oseledets 26 0 0 22 Jul 2024
StreamTinyNet: video streaming analysis with spatial-temporal TinyML Hazem Hesham Yousef Shalby Massimo Pavan Manuel Roveri 45 0 0 22 Jul 2024
Compensate Quantization Errors+: Quantized Models Are Inquisitive Learners Yifei Gao Jie Ou Lei Wang Fanhua Shang Jaji Wu MQ 55 0 0 22 Jul 2024
Toward Efficient Convolutional Neural Networks With Structured Ternary Patterns Christos Kyrkou 42 0 0 20 Jul 2024
Mixed-precision Neural Networks on RISC-V Cores: ISA extensions for Multi-Pumped Soft SIMD Operations Giorgos Armeniakos Alexis Maras S. Xydis Dimitrios Soudris MQ 26 3 0 19 Jul 2024
Mamba-PTQ: Outlier Channels in Recurrent Large Language Models Alessandro Pierro Steven Abreu MQ Mamba 45 6 0 17 Jul 2024
NITRO-D: Native Integer-only Training of Deep Convolutional Neural Networks Alberto Pirillo Luca Colombo Manuel Roveri MQ 29 0 0 16 Jul 2024
QVD: Post-training Quantization for Video Diffusion Models Shilong Tian Hong Chen Chengtao Lv Yu Liu Jinyang Guo Xianglong Liu Shengxi Li Hao Yang Tao Xie VGen MQ 46 3 0 16 Jul 2024
On-Device Training of Fully Quantized Deep Neural Networks on Cortex-M Microcontrollers M. Deutel Frank Hannig Christopher Mutschler Jürgen Teich MQ 30 0 0 15 Jul 2024
A Bag of Tricks for Scaling CPU-based Deep FFMs to more than 300m Predictions per Second Blaž Škrlj Benjamin Ben-Shalom Grega Gaspersic Adi Schwartz Ramzi Hoseisi Naama Ziporin Davorin Kopic Andraz Tori 45 0 0 14 Jul 2024
Inference Optimization of Foundation Models on AI Accelerators Youngsuk Park Kailash Budhathoki Liangfu Chen Jonas M. Kübler Jiaji Huang Matthäus Kleindessner Jun Huan V. Cevher Yida Wang George Karypis 45 3 0 12 Jul 2024
Optimization of DNN-based speaker verification model through efficient quantization technique Yeona Hong Woo-Jin Chung Hong-Goo Kang MQ 31 1 0 12 Jul 2024
Real-Time Anomaly Detection and Reactive Planning with Large Language Models Rohan Sinha Amine Elhafsi Christopher Agia Matthew Foutter Edward Schmerling Marco Pavone OffRL LRM 45 26 0 11 Jul 2024
DεpS: Delayed ε-Shrinking for Faster Once-For-All Training Aditya Annavajjala Alind Khare Animesh Agrawal Igor Fedorov Hugo Latapie Myungjin Lee Alexey Tumanov CLL 42 0 0 08 Jul 2024
On the Limitations of Compute Thresholds as a Governance Strategy Sara Hooker 58 14 0 08 Jul 2024
OvSW: Overcoming Silent Weights for Accurate Binary Neural Networks Jingyang Xiang Zuohui Chen Siqi Li Qing Wu Yong-Jin Liu 28 1 0 07 Jul 2024
ZOBNN: Zero-Overhead Dependable Design of Binary Neural Networks with Deliberately Quantized Parameters B. Ghavami M. Shahidzadeh Lesley Shannon S. Wilton 55 0 0 06 Jul 2024
The Impact of Quantization and Pruning on Deep Reinforcement Learning Models Heng Lu Mehdi Alemi Reza Rawassizadeh 42 1 0 05 Jul 2024
Resource-Efficient Speech Quality Prediction through Quantization Aware Training and Binary Activation Maps Mattias Nilsson Riccardo Miccini Clément Laroche Tobias Piechowiak Friedemann Zenke MQ 34 0 0 05 Jul 2024
ISQuant: apply squant to the real deployment Dezan Zhao MQ 27 0 0 05 Jul 2024
Gaussian Eigen Models for Human Heads Wojciech Zielonka Timo Bolkart Thabo Beeler Justus Thies 3DGS 49 5 0 05 Jul 2024
Timestep-Aware Correction for Quantized Diffusion Models Yuzhe Yao Feng Tian Jun Chen Haonan Lin Guang Dai Yong Liu Jingdong Wang DiffM MQ 46 5 0 04 Jul 2024
Protecting Deep Learning Model Copyrights with Adversarial Example-Free Reuse Detection Xiaokun Luan Xiyue Zhang Jingyi Wang Meng Sun AAML 23 0 0 04 Jul 2024
Improving Conversational Abilities of Quantized Large Language Models via Direct Preference Alignment Janghwan Lee Seongmin Park S. Hong Minsoo Kim Du-Seong Chang Jungwook Choi 37 4 0 03 Jul 2024
ADFQ-ViT: Activation-Distribution-Friendly Post-Training Quantization for Vision Transformers Yanfeng Jiang Ning Sun Xueshuo Xie Fei Yang Tao Li MQ 44 2 0 03 Jul 2024
CatMemo at the FinLLM Challenge Task: Fine-Tuning Large Language Models using Data Fusion in Financial Applications Yupeng Cao Zhiyuan Yao Zhi Chen Zhiyang Deng 28 1 0 02 Jul 2024
A Comprehensive Survey on Diffusion Models and Their Applications M. Ahsan S. Raman Yingtao Liu Zahed Siddique MedIm DiffM 41 1 0 01 Jul 2024
Joint Pruning and Channel-wise Mixed-Precision Quantization for Efficient Deep Neural Networks Beatrice Alessandra Motetti Matteo Risso Alessio Burrello Enrico Macii M. Poncino Daniele Jahier Pagliari MQ 58 2 0 01 Jul 2024
VcLLM: Video Codecs are Secretly Tensor Codecs Ceyu Xu Yongji Wu Xinyu Yang Beidi Chen Matthew Lentz Danyang Zhuo Lisa Wu Wills 50 0 0 29 Jun 2024
SCOPE: Stochastic Cartographic Occupancy Prediction Engine for Uncertainty-Aware Dynamic Navigation Zhanteng Xie P. Dames 39 1 0 28 Jun 2024
OutlierTune: Efficient Channel-Wise Quantization for Large Language Models Jinguang Wang Yuexi Yin Haifeng Sun Qi Qi Jingyu Wang Zirui Zhuang Tingting Yang Jianxin Liao 46 2 0 27 Jun 2024
Q-DiT: Accurate Post-Training Quantization for Diffusion Transformers Lei Chen Yuan Meng Chen Tang Xinzhu Ma Jingyan Jiang Xin Wang Zhi Wang Wenwu Zhu MQ 31 23 0 25 Jun 2024
TRAWL: Tensor Reduced and Approximated Weights for Large Language Models Yiran Luo Het Patel Yu Fu Dawon Ahn Jia Chen Yue Dong Evangelos E. Papalexakis 41 1 0 25 Jun 2024
Evaluation of Language Models in the Medical Context Under Resource-Constrained Settings Andrea Posada Daniel Rueckert Felix Meissen Philip Muller LM&MA ELM 37 0 0 24 Jun 2024
Compensate Quantization Errors: Make Weights Hierarchical to Compensate Each Other Yifei Gao Jie Ou Lei Wang Yuting Xiao Zhiyuan Xiang Ruiting Dai Jun Cheng MQ 36 3 0 24 Jun 2024
MetaGreen: Meta-Learning Inspired Transformer Selection for Green Semantic Communication Shubhabrata Mukherjee Cory Beard Sejun Song 43 0 0 22 Jun 2024
Prefixing Attention Sinks can Mitigate Activation Outliers for Large Language Model Quantization Seungwoo Son Wonpyo Park Woohyun Han Kyuyeun Kim Jaeho Lee MQ 37 10 0 17 Jun 2024
Save It All: Enabling Full Parameter Tuning for Federated Large Language Models via Cycle Block Gradient Descent Lin Wang Zhichao Wang Xiaoying Tang 45 1 0 17 Jun 2024
InstructCMP: Length Control in Sentence Compression through Instruction-based Large Language Models Juseon-Do Jingun Kwon Hidetaka Kamigaito Manabu Okumura 34 2 0 16 Jun 2024
Outlier Reduction with Gated Attention for Improved Post-training Quantization in Large Sequence-to-sequence Speech Foundation Models Dominik Wagner Ilja Baumann Korbinian Riedhammer Tobias Bocklet MQ 32 1 0 16 Jun 2024
Tender: Accelerating Large Language Models via Tensor Decomposition and Runtime Requantization Jungi Lee Wonbeom Lee Jaewoong Sim MQ 42 14 0 16 Jun 2024
Memory Faults in Activation-sparse Quantized Deep Neural Networks: Analysis and Mitigation using Sharpness-aware Training Akul Malhotra S. Gupta 13 0 0 15 Jun 2024
PC-LoRA: Low-Rank Adaptation for Progressive Model Compression with Knowledge Distillation Injoon Hwang Haewon Park Youngwan Lee Jooyoung Yang SunJae Maeng AI4CE 16 0 0 13 Jun 2024
ME-Switch: A Memory-Efficient Expert Switching Framework for Large Language Models Jing Liu Ruihao Gong Mingyang Zhang Yefei He Jianfei Cai Bohan Zhuang MoE 45 0 0 13 Jun 2024
Memory Is All You Need: An Overview of Compute-in-Memory Architectures for Accelerating Large Language Model Inference Christopher Wolters Xiaoxuan Yang Ulf Schlichtmann Toyotaro Suzumura 39 11 0 12 Jun 2024
Asymptotic Unbiased Sample Sampling to Speed Up Sharpness-Aware Minimization Jiaxin Deng Junbiao Pang Baochang Zhang 66 1 0 12 Jun 2024
Markov Constraint as Large Language Model Surrogate Alexandre Bonlarron Jean-Charles Régin 32 1 0 11 Jun 2024