No 1. 《Extracting COVID-19 Events from Twitter》
    No 2. 【Penrose：根据数学公式自动绘图】
    No 3. 《Bayesian Neural Networks》
    No 4. 《Language Models are Few-Shot Learners》
    No 5. 《Cascaded Text Generation with Markov Transformers》
    No 6. 《Rethinking Assumptions in Deep Anomaly Detection》
    No 7. 《SurfaceNet+: An End-to-end 3D Neural Network for Very Sparse Multi-view Stereopsis》
    No 8. 《Machine learning in spectral domain》
    No 9. 《Explainable Artificial Intelligence: a Systematic Review》
    No 10. 《Deep Generation of Face Images from Sketches》
    No 11. 《DetectoRS: Detecting Objects with Recursive Feature Pyramid and Switchable Atrous Convolution》
    No 12. 《Ridge Regularizaton: an Essential Concept in Data Science》
    No 13. 《Ultrasound Video Summarization using Deep Reinforcement Learning》
    No 14. 《Syntactic Structure Distillation Pretraining For Bidirectional Encoders》
    No 15. 《Complex networks for event detection in heterogeneous high volume news streams》
    No 16. 《Reducing BERT Pre-Training Time from 3 Days to 76 Minutes》
    No 17. 《Recapture as You Want》
    No 18. 《Adversarial Attacks and Defense on Textual Data: A Review》
    No 19. 《Some Theoretical Insights into Wasserstein GANs》
    No 20. 《From ImageNet to Image Classification: Contextualizing Progress on Benchmarks》
    No 21. 《Image Super-Resolution with Cross-Scale Non-Local Attention and Exhaustive Self-Exemplars Mining》
    No 22. 《Foreground-aware Semantic Representations for Image Harmonization》
    No 23. 《exBERT: A Visual Analysis Tool to Explore Learned Representations in Transformers Models》
    No 24. 《Ordinal Non-negative Matrix Factorization for Recommendation》
    No 25. 《CNNs on Surfaces using Rotation-Equivariant Features》
    No 26. 《Reference Guided Face Component Editing》
    No 27. 《Reinforcement learning with human advice. A survey》
    No 28. 《Networks beyond pairwise interactions: structure and dynamics》
    No 29. 《Motion2Vec: Semi-Supervised Representation Learning from Surgical Videos》
    No 30. 《Predicting Goal-directed Human Attention Using Inverse Reinforcement Learning》