No 1. 《Deep Learning for Financial Applications : A Survey》
    No 2. 《Tree-SNE: Hierarchical Clustering and Visualization Using t-SNE》
    No 3. 《Image-to-Image Translation with Text Guidance》
    No 4. 《A Simple Framework for Contrastive Learning of Visual Representations》
    No 5. 《Why Do Deep Residual Networks Generalize Better than Deep Feedforward Networks? — A Neural Tangent Kernel Perspective》
    No 6. 《HGAT: Hierarchical Graph Attention Network for Fake News Detection》
    No 7. 《Bayesian Deep Learning and a Probabilistic Perspective of Generalization》
    No 8. 《Geom-GCN: Geometric Graph Convolutional Networks》
    No 9. 《BatchEnsemble: an Alternative Approach to Efficient Ensemble and Lifelong Learning》
    No 10. 《LightGCN: Simplifying and Powering Graph Convolution Network for Recommendation》
    No 11. 《Decision-Making with Auto-Encoding Variational Bayes》
    No 12. 《Transformers as Soft Reasoners over Language》
    No 13. 《Deep learning of dynamical attractors from time series measurements》
    No 14. 《Holes in Bayesian Statistics》
    No 15. 《Neural Approaches to Conversational AI》
    No 16. 《Exponential Step Sizes for Non-Convex Optimization》
    No 17. 《Self-Distillation Amplifies Regularization in Hilbert Space》
    No 18. 《Disease State Prediction From Single-Cell Data Using Graph Attention Networks》
    No 19. 《Transformer on a Diet》
    No 20. 《Variational Autoencoders with Riemannian Brownian Motion Priors》
    No 21. 《Self-Supervised Linear Motion Deblurring》
    No 22. 《Fine-Tuning Pretrained Language Models: Weight Initializations, Data Orders, and Early Stopping》
    No 23. 《Capsules with Inverted Dot-Product Attention Routing》
    No 24. 《Kalman meets Bellman: Improving Policy Evaluation through Value Tracking》
    No 25. 《The Next Decade in AI: Four Steps Towards Robust Artificial Intelligence》
    No 26. 《Generating diverse and natural text-to-speech samples using a quantized fine-grained VAE and auto-regressive prosody prior》
    No 27. 《Do We Need Zero Training Loss After Achieving Zero Training Error?》
    No 28. 《Graph Similarity Using PageRank and Persistent Homology》
    No 29. 《Self-supervised learning for audio-visual speaker diarization》
    No 30. 《Speech-to-Singing Conversion in an Encoder-Decoder Framework》