conftrace_

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

Post-training Quantization with Multiple Points: Mixed Precision without Mixed Precision AAAI 2021
SA-BNN: State-Aware Binary Neural Network AAAI 2021
QPP: Real-Time Quantization Parameter Prediction for Deep Neural Networks CVPR 2021
Distribution-Aware Adaptive Multi-Bit Quantization CVPR 2021
Temporal-Coded Deep Spiking Neural Network with Easy Training and Robust Performance AAAI 2021
TRQ: Ternary Neural Networks With Residual Quantization AAAI 2021
S$^3$: Sign-Sparse-Shift Reparametrization for Effective Training of Low-bit Shift Networks NIPS 2021
On the effects of quantisation on model uncertainty in Bayesian neural networks UAI 2021
A Greedy Algorithm for Quantizing Neural Networks JMLR 2021
HLHLp: Quantized Neural Networks Training for Reaching Flat Minima in Loss Surface AAAI 2020
Training Binary Neural Networks using the Bayesian Learning Rule ICML 2020
Adaptive Loss-Aware Quantization for Multi-Bit Networks CVPR 2020
AdaBits: Neural Network Quantization With Adaptive Bit-Widths CVPR 2020
Structured Compression by Weight Encryption for Unstructured Pruning and Quantization CVPR 2020
Searching for Low-Bit Weights in Quantized Neural Networks NIPS 2020
Towards Certificated Model Robustness Against Weight Perturbations AAAI 2020
Direct Quantization for Training Highly Accurate Low Bit-width Deep Neural Networks IJCAI 2020
Towards Accurate Low Bit-Width Quantization with Multiple Phase Adaptations AAAI 2020
Soft Threshold Ternary Networks IJCAI 2020
Training Binary Neural Networks through Learning with Noisy Supervision ICML 2020
FleXOR: Trainable Fractional Quantization NIPS 2020
Up or Down? Adaptive Rounding for Post-Training Quantization ICML 2020
KCNN: Kernel-wise Quantization to Remarkably Decrease Multiplications in Convolutional Neural Network IJCAI 2019
Learning to Quantize Deep Networks by Optimizing Quantization Intervals With Task Loss CVPR 2019
MetaQuant: Learning to Quantize by Learning to Penetrate Non-differentiable Quantization NIPS 2019