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post-training quantization

124 papers

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Also known as

PTQ

Co-occurring keywords

model compression (3283) model quantization (279) weight quantization (133) large language model (12755) activation quantization (47) neural network quantization (122) diffusion model (3720) neural network optimization (1293) efficient computing (779) vision transformer (1091)

Papers

SAMP: A Model Inference Toolkit of Post-Training Quantization for Text Processing via Self-Adaptive Mixed-Precision EMNLP 2023
Optimal Brain Compression: A Framework for Accurate Post-Training Quantization and Pruning NIPS 2022
Outlier Suppression: Pushing the Limit of Low-bit Transformer Language Models NIPS 2022
ZeroQuant: Efficient and Affordable Post-Training Quantization for Large-Scale Transformers NIPS 2022
Leveraging Inter-Layer Dependency for Post -Training Quantization NIPS 2022
FP8 Quantization: The Power of the Exponent NIPS 2022
Towards Efficient Post-training Quantization of Pre-trained Language Models NIPS 2022
Mr.BiQ: Post-Training Non-Uniform Quantization Based on Minimizing the Reconstruction Error CVPR 2022
Channel Balancing for Accurate Quantization of Winograd Convolutions CVPR 2022
FQ-ViT: Post-Training Quantization for Fully Quantized Vision Transformer IJCAI 2022
Mining Intelligent Patterns using SVAC for Precision Agriculture and Optimizing Irrigation (Student Abstract) AAAI 2021
Post-Training Sparsity-Aware Quantization NIPS 2021
Understanding and Overcoming the Challenges of Efficient Transformer Quantization EMNLP 2021
Greedy Search Algorithm for Mixed Precision in Post-Training Quantization of Convolutional Neural Network Inspired by Submodular Optimization ACML 2021
Post-training Quantization with Multiple Points: Mixed Precision without Mixed Precision AAAI 2021
Improving Neural Network Efficiency via Post-Training Quantization With Adaptive Floating-Point ICCV 2021
QPP: Real-Time Quantization Parameter Prediction for Deep Neural Networks CVPR 2021
Accurate Post Training Quantization With Small Calibration Sets ICML 2021
Diversifying Sample Generation for Accurate Data-Free Quantization CVPR 2021
Post-Training Quantization for Vision Transformer NIPS 2021
Up or Down? Adaptive Rounding for Post-Training Quantization ICML 2020
Towards Accurate Post-training Network Quantization via Bit-Split and Stitching ICML 2020
AdaBits: Neural Network Quantization With Adaptive Bit-Widths CVPR 2020
Post training 4-bit quantization of convolutional networks for rapid-deployment NIPS 2019