weight binarization

ARB-LLM: Alternating Refined Binarizations for Large Language Models ICLR 2025 BinaryDM: Accurate Weight Binarization for Efficient Diffusion Models ICLR 2025 TinyFoA: Memory Efficient Forward-Only Algorithm for On-Device Learning AAAI 2025 BiDM: Pushing the Limit of Quantization for Diffusion Models NeurIPS 2024 LUM-ViT: Learnable Under-sampling Mask Vision Transformer for Bandwidth Limited Optical Signal Acquisition ICLR 2024 USM RNN-T model weights binarization Interspeech 2024 Equal Bits: Enforcing Equally Distributed Binary Network Weights AAAI 2022 Mr.BiQ: Post-Training Non-Uniform Quantization Based on Minimizing the Reconstruction Error CVPR 2022 BinaryBERT: Pushing the Limit of BERT Quantization ACL 2021 ReCU: Reviving the Dead Weights in Binary Neural Networks ICCV 2021 Uncertainty-aware Binary Neural Networks IJCAI 2021 Rotated Binary Neural Network NeurIPS 2020 Training Binary Neural Networks through Learning with Noisy Supervision ICML 2020 Towards Accurate Binary Convolutional Neural Network NeurIPS 2017