No 1. 《Neural Logic Machines》
    No 2. 《Graph Matching Networks for Learning the Similarity of Graph Structured Objects》
    No 3. 《Survey on Automated Machine Learning》
    No 4. 《Low-Memory Neural Network Training: A Technical Report》
    No 5. 《From GAN to WGAN》
    No 6. 《Graph Kernels: A Survey》
    No 7. 【实数，数据科学与混沌：单参数拟合任意数据集】
    No 8. 《Unsupervised Data Augmentation》
    No 9. 《Context-Aware Zero-Shot Recognition》
    No 10. 《On the Mathematical Understanding of ResNet with Feynman Path Integral》
    No 11. 《Deep Representation Learning for Social Network Analysis》
    No 12. 《RepPoints: Point Set Representation for Object Detection》
    No 13. 《Learning Discriminative Features Via Weights-biased Softmax Loss》
    No 14. 【波动物理学模拟RNN：无需模数转换的信号原生域RNN】
    No 15. 《Deep Metric Learning Beyond Binary Supervision》
    No 16. 【快速鲁棒的动物姿态估计】
    No 17. 《STGAN: A Unified Selective Transfer Network for Arbitrary Image Attribute Editing》
    No 18. 【“走四方”的敏捷两足行走机器人：迭代强化学习动态运动技能设计】
    No 19. 【Vid2Game：从真实场景视频提取可控制角色】
    No 20. 《High-Performance Support Vector Machines and Its Applications》
    No 21. 《Fast AutoAugment》
    No 22. 《Graph Element Networks: adaptive, structured computation and memory》
    No 23. 《Challenges and Prospects in Vision and Language Research》
    No 24. 《Inpatient2Vec: Medical Representation Learning for Inpatients》
    No 25. 《Decision Forest: A Nonparametric Approach to Modeling Irrational Choice》
    No 26. 《Unsupervised deep learning for Bayesian brain MRI segmentation》
    No 27. 《Meta-Sim: Learning to Generate Synthetic Datasets》
    No 28. 《ResNet Can Be Pruned 60x: Introducing Network Purification and Unused Path Removal (P-RM) after Weight Pruning》
    No 29. 《Unsupervised label noise modeling and loss correction》
    No 30. 《Reducing the Hausdorff Distance in Medical Image Segmentation with Convolutional Neural Networks》