bit allocation

LampQ: Towards Accurate Layer-wise Mixed Precision Quantization for Vision Transformers AAAI 2026 Towards Efficient Low-rate Image Compression with Frequency-aware Diffusion Prior Refinement AAAI 2026 Augmented Deep Contexts for Spatially Embedded Video Coding CVPR 2025 Cassic: Towards Content-Adaptive State-Space Models for Learned Image Compression ICCV 2025 Thinking in Granularity: Dynamic Quantization for Image Super-Resolution by Intriguing Multi-Granularity Clues AAAI 2025 AdaBM: On-the-Fly Adaptive Bit Mapping for Image Super-Resolution CVPR 2024 ShiftAddLLM: Accelerating Pretrained LLMs via Post-Training Multiplication-Less Reparameterization NeurIPS 2024 Bit Allocation using Optimization ICML 2023 CABM: Content-Aware Bit Mapping for Single Image Super-Resolution Network With Large Input CVPR 2023 Accurate Post Training Quantization With Small Calibration Sets ICML 2021 Greedy Search Algorithm for Mixed Precision in Post-Training Quantization of Convolutional Neural Network Inspired by Submodular Optimization ACML 2021 A GAN-based Tunable Image Compression System WACV 2020 Rethinking Differentiable Search for Mixed-Precision Neural Networks CVPR 2020 Learning Convolutional Networks for Content-Weighted Image Compression CVPR 2018 Fixed Point Quantization of Deep Convolutional Networks ICML 2016