No 1. 《Understanding the Role of Momentum in Stochastic Gradient Methods》
    No 2. 【今日焦点：深度学习的批判性评价——深度学习离通用智能还很远的十大原因】
    No 3. 《Confident Learning: Estimating Uncertainty in Dataset Labels》
    No 4. 《The Measure of Intelligence》
    No 5. 《Gradient-based Adaptive Markov Chain Monte Carlo》
    No 6. 《Learning Without Loss》
    No 7. 《Multi-Stage Document Ranking with BERT》
    No 8. 《Fast Transformer Decoding: One Write-Head is All You Need》
    No 9. 《Bayesian Decision Models: A Primer - ScienceDirect》
    No 10. 《High Fidelity Video Prediction with Large Stochastic Recurrent Neural Networks》
    No 11. 《Deep Learning for Stock Selection Based on High Frequency Price-Volume Data》
    No 12. 《Continual Unsupervised Representation Learning》
    No 13. 《Learning Disentangled Representations for Recommendation》
    No 14. 《Distribution Density, Tails, and Outliers in Machine Learning: Metrics and Applications》
    No 15. 《The Deepfake Detection Challenge (DFDC) Preview Dataset》
    No 16. 《Spatiotemporal Tile-based Attention-guided LSTMs for Traffic Video Prediction》
    No 17. 《FCSR-GAN: Joint Face Completion and Super-resolution via Multi-task Learning》
    No 18. 《Learning Data Manipulation for Augmentation and Weighting》
    No 19. 《Unsupervised Multi-Domain Multimodal Image-to-Image Translation with Explicit Domain-Constrained Disentanglement》
    No 20. 《Adversarial Feature Alignment: Avoid Catastrophic Forgetting in Incremental Task Lifelong Learning》
    No 21. 《Generalization through Memorization: Nearest Neighbor Language Models》
    No 22. 《Adversarial NLI: A New Benchmark for Natural Language Understanding》
    No 23. 《How can we fool LIME and SHAP? Adversarial Attacks on Post hoc Explanation Methods》
    No 24. 《Information Geometry of the Probability Simplex: A Short Course》
    No 25. 【YOLACT实时实例分割】
    No 26. 《Self-supervised Moving Vehicle Tracking with Stereo Sound》
    No 27. 《Deep Learning of Subsurface Flow via Theory-guided Neural Network》
    No 28. 《Attacking Optical Flow》
    No 29. 《Dancing to Music》
    No 30. 《Kernelized Bayesian Softmax for Text Generation》