neural network quantization

TAGQuant: Token-Aware Clustering for Group-Wise Quantization EACL 2026 AIQViT: Architecture-Informed Post-Training Quantization for Vision Transformers AAAI 2025 BHViT: Binarized Hybrid Vision Transformer CVPR 2025 QP-SNN: Quantized and Pruned Spiking Neural Networks ICLR 2025 Quantized Spike-driven Transformer ICLR 2025 TCAQ-DM: Timestep-Channel Adaptive Quantization for Diffusion Models AAAI 2025 Towards Lossless Implicit Neural Representation via Bit Plane Decomposition CVPR 2025 Where and How to Enhance: Discovering Bit-Width Contribution for Mixed Precision Quantization IJCAI 2025 Binarized Diffusion Model for Image Super-Resolution NeurIPS 2024 BiPer: Binary Neural Networks using a Periodic Function CVPR 2024 BitsFusion: 1.99 bits Weight Quantization of Diffusion Model NeurIPS 2024 Cherry on Top: Parameter Heterogeneity and Quantization in Large Language Models NeurIPS 2024 Edge Inference With Fully Differentiable Quantized Mixed Precision Neural Networks WACV 2024 LLMCBench: Benchmarking Large Language Model Compression for Efficient Deployment NeurIPS 2024 MagR: Weight Magnitude Reduction for Enhancing Post-Training Quantization NeurIPS 2024 Make RepVGG Greater Again: A Quantization-Aware Approach AAAI 2024 PikeLPN: Mitigating Overlooked Inefficiencies of Low-Precision Neural Networks CVPR 2024 PTQ4DiT: Post-training Quantization for Diffusion Transformers NeurIPS 2024 Reducing the Side-Effects of Oscillations in Training of Quantized YOLO Networks WACV 2024 Resource-Efficient Neural Networks for Embedded Systems JMLR 2024 Adaptive Data-Free Quantization CVPR 2023 Adaptive Neural Network Quantization For Lightweight Speaker Verification Interspeech 2023 Binarizing Sparse Convolutional Networks for Efficient Point Cloud Analysis CVPR 2023 Block and Subword-Scaling Floating-Point (BSFP) : An Efficient Non-Uniform Quantization For Low Precision Inference ICLR 2023 EMQ: Evolving Training-free Proxies for Automated Mixed Precision Quantization ICCV 2023