quantization-aware training

SiLQ: Simple Large Language Model Quantization-Aware Training IJCNLP 2025 Understanding the Unfairness in Network Quantization ICML 2025 BitDistiller: Unleashing the Potential of Sub-4-Bit LLMs via Self-Distillation ACL 2024 DL-QAT: Weight-Decomposed Low-Rank Quantization-Aware Training for Large Language Models EMNLP 2024 EfficientDM: Efficient Quantization-Aware Fine-Tuning of Low-Bit Diffusion Models ICLR 2024 LLM-QAT: Data-Free Quantization Aware Training for Large Language Models ACL 2024 Optimize Weight Rounding via Signed Gradient Descent for the Quantization of LLMs EMNLP 2024 PB-LLM: Partially Binarized Large Language Models ICLR 2024 PV-Tuning: Beyond Straight-Through Estimation for Extreme LLM Compression NeurIPS 2024 Reducing the Side-Effects of Oscillations in Training of Quantized YOLO Networks WACV 2024 Resource-Efficient Speech Quality Prediction through Quantization Aware Training and Binary Activation Maps Interspeech 2024 Self-Supervised Quantization-Aware Knowledge Distillation AISTATS 2024 Boost Transformer-based Language Models with GPU-Friendly Sparsity and Quantization ACL 2023 Lossy Image Compression With Quantized Hierarchical VAEs WACV 2023 NIPQ: Noise Proxy-Based Integrated Pseudo-Quantization CVPR 2023 Oscillation-free Quantization for Low-bit Vision Transformers ICML 2023 Overcoming Forgetting Catastrophe in Quantization-Aware Training ICCV 2023 PackQViT: Faster Sub-8-bit Vision Transformers via Full and Packed Quantization on the Mobile NeurIPS 2023 PreQuant: A Task-agnostic Quantization Approach for Pre-trained Language Models ACL 2023 QD-BEV : Quantization-aware View-guided Distillation for Multi-view 3D Object Detection ICCV 2023 Quantization-aware and Tensor-compressed Training of Transformers for Natural Language Understanding Interspeech 2023 Quantized Feature Distillation for Network Quantization AAAI 2023 Teacher Intervention: Improving Convergence of Quantization Aware Training for Ultra-Low Precision Transformers EACL 2023 Temporal Dynamic Quantization for Diffusion Models NeurIPS 2023 Towards Fully Quantized Neural Networks For Speech Enhancement Interspeech 2023