No 1. 《A Gentle Introduction to Deep Learning for Graphs》
    No 2. 《Deep Graph Similarity Learning: A Survey》
    No 3. 【乳腺癌AI筛查系统评估：在筛查中AI系统能比专家更准确地发现乳腺癌】
    No 4. 《Efficient Probabilistic Logic Reasoning with Graph Neural Networks》
    No 5. 《Deep Learning in Medical Image Registration: A Review》
    No 6. 《Reformer: The Efficient Transformer》
    No 7. 《Deep Learning for 3D Point Clouds: A Survey》
    No 8. 《Unsupervised Learning of Graph Hierarchical Abstractions with Differentiable Coarsening and Optimal Transport》
    No 9. 《DeepHashing using TripletLoss》
    No 10. 《Why Having 10,000 Parameters in Your Camera Model is Better Than Twelve》
    No 11. 《IS Attention All What You Need? — An Empirical Investigation on Convolution-Based Active Memory and Self-Attention》
    No 12. 《B-Spline CNNs on Lie groups》
    No 13. 《Hamiltonian Generative Networks》
    No 14. 《On the Difference Between the Information Bottleneck and the Deep Information Bottleneck》
    No 15. 《OneGAN: Simultaneous Unsupervised Learning of Conditional Image Generation, Foreground Segmentation, and Fine-Grained Clustering》
    No 16. 《Effective Data Augmentation with Multi-Domain Learning GANs》
    No 17. 《Learning Robust Representations via Multi-View Information Bottleneck》
    No 18. 《Detecting GAN generated errors》
    No 19. 《Machine Learning from a Continuous Viewpoint》
    No 20. 《FaceShifter: Towards High Fidelity And Occlusion Aware Face Swapping》
    No 21. 《Smoothness and Stability in GANs》
    No 22. 《Learning 3D Human Shape and Pose from Dense Body Parts》
    No 23. 《Why Gradient Clipping Accelerates Training: A Theoretical Justification for Adaptivity》
    No 24. 《Neural Module Networks for Reasoning over Text》
    No 25. 《Causally Correct Partial Models for Reinforcement Learning》
    No 26. 《Graph Neural Networks Exponentially Lose Expressive Power for Node Classification》
    No 27. 《Making Sense of Reinforcement Learning and Probabilistic Inference》
    No 28. 《Semi-Supervised Generative Modeling for Controllable Speech Synthesis》
    No 29. 《Scalable Fine-grained Generated Image Classification Based on Deep Metric Learning》
    No 30. 《The Chi-Square Test of Distance Correlation》