No 1. 《k-Nearest Neighbour Classifiers — 2nd Edition》
    No 2. 《AI Feynman: a Physics-Inspired Method for Symbolic Regression》
    No 3. 《The GeoLifeCLEF 2020 Dataset》
    No 4. 《Unpaired Photo-to-manga Translation Based on The Methodology of Manga Drawing》
    No 5. 【从头训练个NLP模型要花多少钱？用非抢占AWS/GCP实例不打折的话，依模型大小，差不多要5万到1千万美元】
    No 6. 《Clustering Time Series Data through Autoencoder-based Deep Learning Models》
    No 7. 《Bringing Old Photos Back to Life》
    No 8. 《A Comprehensive Overview and Survey of Recent Advances in Meta-Learning》
    No 9. 《ResNeSt: Split-Attention Networks》
    No 10. 《Spatially Attentive Output Layer for Image Classification》
    No 11. 《Unsupervised Intra-domain Adaptation for Semantic Segmentation through Self-Supervision》
    No 12. 《Flow-based Algorithms for Improving Clusters: A Unifying Framework, Software, and Performance》
    No 13. 《Representation Learning of Histopathology Images using Graph Neural Networks》
    No 14. 【新药发现最新进展：基于对抗自编码器的所需转录组特定变化分子生成，可推断用于诱导基因期望表达变化的药物分子】
    No 15. 《Landmark Detection and 3D Face Reconstruction for Caricature using a Nonlinear Parametric Model》
    No 16. 《Efficient Neighbourhood Consensus Networks via Submanifold Sparse Convolutions》
    No 17. 《Vector Quantized Contrastive Predictive Coding for Template-based Music Generation》
    No 18. 《Model-Predictive Control via Cross-Entropy and Gradient-Based Optimization》
    No 19. 《SpaceNet 6: Multi-Sensor All Weather Mapping Dataset》
    No 20. 《Machine learning for causal inference: on the use of cross-fit estimators》
    No 21. 《Pseudo RGB-D for Self-Improving Monocular SLAM and Depth Prediction》
    No 22. 《PICK: Processing Key Information Extraction from Documents using Improved Graph Learning-Convolutional Networks》
    No 23. 《A Review on Deep Learning Techniques for Video Prediction》
    No 24. 《Controllable Variational Autoencoder》
    No 25. 《Layered Graph Embedding for Entity Recommendation using Wikipedia in the Yahoo! Knowledge Graph》
    No 26. 《Community detection with node attributes in multilayer networks》
    No 27. 《A Practical Introduction to Bayesian Estimation of Causal Effects: Parametric and Nonparametric Approaches》
    No 28. 《Document-level Representation Learning using Citation-informed Transformers》
    No 29. 《Learning Over Dirty Data Without Cleaning》
    No 30. 《Continual Reinforcement Learning with Multi-Timescale Replay》