几篇论文实现代码：
《Gradient-based Uncertainty for Monocular Depth Estimation》(ECCV 2022) GitHub: github.com/jhornauer/GrUMoDepth [fig2]
《FOSTER: Feature Boosting and Compression for Class-Incremental Learning》(ECCV 2022) GitHub: github.com/G-U-N/ECCV22-FOSTER [fig5]
《QuoteR: A Benchmark of Quote Recommendation for Writing》(ACL 2022) GitHub: github.com/thunlp/QuoteR
《Learning To Retrieve Prompts for In-Context Learning》(NAACL 2022) GitHub: github.com/OhadRubin/EPR
《Mask and Reason: Pre-Training Knowledge Graph Transformers for Complex Logical Queries》(KDD 2022) GitHub: github.com/THUDM/kgTransformer
《Word Discovery in Visually Grounded, Self-Supervised Speech Models》(Interspeech 2022) GitHub: github.com/jasonppy/word-discovery
《Moral Stories: Situated Reasoning about Norms, Intents, Actions, and their Consequences》(ACL 2021) GitHub: github.com/demelin/moral_stories [fig4]
《Neural Architecture Search for Joint Human Parsing and Pose Estimation》(ICCV 2021) GitHub: github.com/GuHuangAI/NPP
《Exploring Differential Geometry in Neural Implicits》(2022) GitHub: github.com/dsilvavinicius/differential_geometry_in_neural_implicits
《Staged Training for Transformer Language Models》(2022) GitHub: github.com/allenai/staged-training
《Recommendation as Language Processing (RLP): A Unified Pretrain, Personalized Prompt & Predict Paradigm (P5)》(2022) GitHub: github.com/jeykigung/P5 [fig1]
《SSL-Lanes: Self-Supervised Learning for Motion Forecasting in Autonomous Driving》(2022) GitHub: github.com/AutoVision-cloud/SSL-Lanes [fig3]