Update README.md

README.md

@@ -127,6 +127,7 @@ Amir Gholami\* , Sehoon Kim\* , Zhen Dong\* , Zhewei Yao\* , Michael W. Mahoney,
 - [[TPAMI](https://ieeexplore.ieee.org/abstract/document/9735379)] Optimization-Based Post-Training Quantization With Bit-Split and Stitching
 - [[TPAMI](https://ieeexplore.ieee.org/abstract/document/10122994)] Single-path Bit Sharing for Automatic Loss-aware Model Compression
 - [[ICCV](https://openaccess.thecvf.com/content/ICCV2023/papers/Shang_Causal-DFQ_Causality_Guided_Data-Free_Network_Quantization_ICCV_2023_paper.pdf)] Causal-DFQ: Causality Guided Data-free Network Quantization [[code](https://github.com/42Shawn/Causal-DFQ)]![GitHub Repo stars](https://img.shields.io/github/stars/42Shawn/Causal-DFQ)
+- [[ICCV](https://openaccess.thecvf.com/content/ICCV2023/html/Wu_Estimator_Meets_Equilibrium_Perspective_A_Rectified_Straight_Through_Estimator_for_ICCV_2023_paper.html)] Estimator Meets Equilibrium Perspective: A Rectified Straight Through Estimator for Binary Neural Networks Training [[code](https://github.com/DravenALG/ReSTE)]![GitHub Repo stars](https://img.shields.io/github/stars/DravenALG/ReSTE)
 - [[ICCV](https://arxiv.org/abs/2302.04304)] Q-Diffusion: Quantizing Diffusion Models [[code](https://github.com/Xiuyu-Li/q-diffusion)]![GitHub Repo stars](https://img.shields.io/github/stars/Xiuyu-Li/q-diffusion)
 - [[ICCV](https://openaccess.thecvf.com/content/ICCV2023/html/Zhang_QD-BEV__Quantization-aware_View-guided_Distillation_for_Multi-view_3D_Object_Detection_ICCV_2023_paper.html)] QD-BEV : Quantization-aware View-guided Distillation for Multi-view 3D Object Detection
 - [[CVPR](https://openaccess.thecvf.com/content/CVPR2023/papers/Shang_Post-Training_Quantization_on_Diffusion_Models_CVPR_2023_paper.pdf)] Post-training Quantization on Diffusion Models [[code](https://github.com/42Shawn/PTQ4DM)]![GitHub Repo stars](https://img.shields.io/github/stars/42Shawn/PTQ4DM)