No 1. 【老照片也能玩3D：上下文感知三维图像分层深度修复技术】
    No 2. 《Deep Learning Based Text Classification: A Comprehensive Review》
    No 3. 《Learning to See Through Obstructions》
    No 4. 《Bridging the gap between graphs and networks》
    No 5. 《Tracking Objects as Points》
    No 6. 《Background Matting: The World is Your Green Screen》
    No 7. 《Faster Gaussian Processes via Deep Embeddings》
    No 8. 《Financial Time Series Representation Learning》
    No 9. 《One-Shot Domain Adaptation For Face Generation》
    No 10. 《Generalized Zero-Shot Learning Via Over-Complete Distribution》
    No 11. 《Semi-supervised Learning for Few-shot Image-to-Image Translation》
    No 12. 《Machine Learning in Python: Main developments and technology trends in data science, machine learning, and artificial intelligence》
    No 13. 《RANSAC-Flow: generic two-stage image alignment》
    No 14. 《Feature Quantization Improves GAN Training》
    No 15. 《Learning Representations For Images With Hierarchical Labels》
    No 16. 《FaceScape: a Large-scale High Quality 3D Face Dataset and Detailed Riggable 3D Face Prediction》
    No 17. 《Rethinking Data Augmentation for Image Super-resolution: A Comprehensive Analysis and a New Strategy》
    No 18. 《Evolving Normalization-Activation Layers》
    No 19. 《Attentive Normalization for Conditional Image Generation》
    No 20. 《Suphx: Mastering Mahjong with Deep Reinforcement Learning》
    No 21. 《Meta-learning curiosity algorithms》
    No 22. 《Weakly Supervised Dataset Collection for Robust Person Detection》
    No 23. 《In-Domain GAN Inversion for Real Image Editing》
    No 24. 《A County-level Dataset for Informing the United States’ Response to COVID-19》
    No 25. 《Improving 3D Object Detection through Progressive Population Based Augmentation》
    No 26. 《Pre-training is a Hot Topic: Contextualized Document Embeddings Improve Topic Coherence》
    No 27. 《Self-Supervised Scene De-occlusion》
    No 28. 《MetNet: A Neural Weather Model for Precipitation Forecasting》
    No 29. 《Adversarial Latent Autoencoders》
    No 30. 《GANSpace: Discovering Interpretable GAN Controls》