parameter quantization

TR-DQ: Time-Rotation Diffusion Quantization AAAI 2026 2DQuant: Low-bit Post-Training Quantization for Image Super-Resolution NeurIPS 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 Cloud-Device Collaborative Learning for Multimodal Large Language Models CVPR 2024 DB-LLM: Accurate Dual-Binarization for Efficient LLMs ACL 2024 PV-Tuning: Beyond Straight-Through Estimation for Extreme LLM Compression NeurIPS 2024 BiMatting: Efficient Video Matting via Binarization NeurIPS 2023 CQNV: A Combination of Coarsely Quantized Bitstream and Neural Vocoder for Low Rate Speech Coding Interspeech 2023 QuIP: 2-Bit Quantization of Large Language Models With Guarantees NeurIPS 2023 Compression of Generative Pre-trained Language Models via Quantization ACL 2022 Data-Free Network Compression via Parametric Non-Uniform Mixed Precision Quantization CVPR 2022 Bi-GCN: Binary Graph Convolutional Network CVPR 2021 Binary Neural Network for Speaker Verification Interspeech 2021 Continual Learning via Bit-Level Information Preserving CVPR 2021 Permute, Quantize, and Fine-Tune: Efficient Compression of Neural Networks CVPR 2021 Mixed Precision DNNs: All you need is a good parametrization ICLR 2020 Composite Binary Decomposition Networks AAAI 2019 Explicit Loss-Error-Aware Quantization for Low-Bit Deep Neural Networks CVPR 2018 Multi-frame Quantization of LSF Parameters Using a Deep Autoencoder and Pyramid Vector Quantizer Interspeech 2018 Statistical Model Compression for Small-Footprint Natural Language Understanding Interspeech 2018