几篇论文实现代码：
《NodeFormer: A Scalable Graph Structure Learning Transformer for Node Classification》(NeurIPS 2022) GitHub: github.com/qitianwu/NodeFormer [fig4]
《Conffusion: Confidence Intervals for Diffusion Models》(2022) GitHub: github.com/eliahuhorwitz/Conffusion
《Rethinking the Openness of CLIP》(2022) GitHub: github.com/lancopku/clip-openness [fig1]
《Texts as Images in Prompt Tuning for Multi-Label Recognition》(2022) GitHub: github.com/guozix/TaI-DPT [fig2]
《High-fidelity 3D GAN Inversion by Pseudo-multi-view Optimization》(2022) GitHub: github.com/jiaxinxie97/HFGI3D [fig3]
《DAMO-YOLO: A Report on Real-Time Object Detection Design》(2022) GitHub: github.com/tinyvision/DAMO-YOLO
《GOOD-D: On Unsupervised Graph Out-Of-Distribution Detection》(2022) GitHub: github.com/yixinliu233/G-OOD-D
《Learning Single Image Defocus Deblurring with Misaligned Training Pairs》(2022) GitHub: github.com/liyucs/JDRL
《FuRPE: Learning Full-body Reconstruction from Part Experts》(2022) GitHub: github.com/indigo-99/FuRPE [fig5]
《Language Models are Realistic Tabular Data Generators》(2022) GitHub: github.com/kathrinse/be_great