No 1. 《Graph Neural Networks: A Review of Methods and Applications》
    No 2. 《Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks》
    No 3. 《Revealing the Dark Secrets of BERT》
    No 4. 《Object detection on aerial imagery using CenterNet》
    No 5. 《Visualizing and Understanding the Effectiveness of BERT》
    No 6. 《Conditional Flow Variational Autoencoders for Structured Sequence Prediction》
    No 7. 《Text Summarization with Pretrained Encoders》
    No 8. 《ViCo: Word Embeddings from Visual Co-occurrences》
    No 9. 【量子卷积神经网络】
    No 10. 《Wasserstein Distributionally Robust Optimization: Theory and Applications in Machine Learning》
    No 11. 《Generating High-Resolution Fashion Model Images Wearing Custom Outfits》
    No 12. 《Theory and Evaluation Metrics for Learning Disentangled Representations》
    No 13. 《Robust Graph Neural Network Against Poisoning Attacks via Transfer Learning》
    No 14. 《Transfer in Deep Reinforcement Learning using Knowledge Graphs》
    No 15. 《The many faces of deep learning》
    No 16. 《Lecture Notes: Selected topics on robust statistical learning theory》
    No 17. 《From Community to Role-based Graph Embeddings》
    No 18. 《Compositional Video Prediction》
    No 19. 《A Probabilistic Representation of Deep Learning》
    No 20. 《Football is becoming boring; Network analysis of 88 thousands matches in 11 major leagues》
    No 21. 《Mocycle-GAN: Unpaired Video-to-Video Translation》
    No 22. 《Learning Disentangled Representations via Independent Subspaces》
    No 23. 《Automatic and Simultaneous Adjustment of Learning Rate and Momentum for Stochastic Gradient Descent》
    No 24. 《AdvHat: Real-world adversarial attack on ArcFace Face ID system》
    No 25. 《A Neural Network for Semi-Supervised Learning on Manifolds》
    No 26. 《Local Unsupervised Learning for Image Analysis》
    No 27. 《Detecting abnormalities in resting-state dynamics: An unsupervised learning approach》
    No 28. 《Noise Flow: Noise Modeling with Conditional Normalizing Flows》
    No 29. 《Two Decades of Network Science as seen through the co-authorship network of network scientists》
    No 30. 《Dynamics-aware Embeddings》