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weight quantization

137 papers

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Also known as

WQ

Co-occurring keywords

model compression (3302) model quantization (281) large language model (13587) post-training quantization (131) neural network quantization (122) activation quantization (49) neural network optimization (1293) knowledge distillation (3725) binary neural network (75) inference optimization (219)

Papers

Enhancing Computation Efficiency in Large Language Models through Weight and Activation Quantization EMNLP 2023
Model Compression for DNN-based Speaker Verification Using Weight Quantization INTERSPEECH 2023
Understanding Neural Network Binarization with Forward and Backward Proximal Quantizers NIPS 2023
NIPQ: Noise Proxy-Based Integrated Pseudo-Quantization CVPR 2023
Overcoming Oscillations in Quantization-Aware Training ICML 2022
Learnable Lookup Table for Neural Network Quantization CVPR 2022
Partially-Random Initialization: A Smoking Gun for Binarization Hypothesis of BERT EMNLP 2022
Improving Robustness Against Stealthy Weight Bit-Flip Attacks by Output Code Matching CVPR 2022
Accelerating Inference and Language Model Fusion of Recurrent Neural Network Transducers via End-to-End 4-bit Quantization INTERSPEECH 2022
Finding Nearly Everything within Random Binary Networks AISTATS 2022
Finding the Task-Optimal Low-Bit Sub-Distribution in Deep Neural Networks ICML 2022
Squashed Weight Distribution for Low Bit Quantization of Deep Models INTERSPEECH 2022
Elastic-Link for Binarized Neural Networks AAAI 2022
ZeroQuant: Efficient and Affordable Post-Training Quantization for Large-Scale Transformers NIPS 2022
BiT: Robustly Binarized Multi-distilled Transformer NIPS 2022
Nonuniform-to-Uniform Quantization: Towards Accurate Quantization via Generalized Straight-Through Estimation CVPR 2022
UDC: Unified DNAS for Compressible TinyML Models for Neural Processing Units NIPS 2022
Mr.BiQ: Post-Training Non-Uniform Quantization Based on Minimizing the Reconstruction Error CVPR 2022
Near Lossless Transfer Learning for Spiking Neural Networks AAAI 2021
Sub-Bit Neural Networks: Learning To Compress and Accelerate Binary Neural Networks ICCV 2021
Automated Log-Scale Quantization for Low-Cost Deep Neural Networks CVPR 2021
Compressing Deep Convolutional Neural Networks by Stacking Low-dimensional Binary Convolution Filters AAAI 2021
CBP: backpropagation with constraint on weight precision using a pseudo-Lagrange multiplier method NIPS 2021
How Do Adam and Training Strategies Help BNNs Optimization ICML 2021
RMSMP: A Novel Deep Neural Network Quantization Framework With Row-Wise Mixed Schemes and Multiple Precisions ICCV 2021