No 1. 《TinyBERT: Distilling BERT for Natural Language Understanding》
    No 2. 《GraphMix: Regularized Training of Graph Neural Networks for Semi-Supervised Learning》
    No 3. 《Probabilistic Modeling of Deep Features for Out-of-Distribution and Adversarial Detection》
    No 4. 《Hamiltonian Generative Networks》
    No 5. 《Efficient Graph Generation with Graph Recurrent Attention Networks》
    No 6. 《Extreme Language Model Compression with Optimal Subwords and Shared Projections》
    No 7. 《DM M -Net: Differentiable Mask-Matching Network for Video Object Segmentation》
    No 8. 《Quantum Graph Neural Networks》
    No 9. 《Mathematical Reasoning in Latent Space》
    No 10. 《The Differentiable Cross-Entropy Method》
    No 11. 《Compiler-Level Matrix Multiplication Optimization for Deep Learning》
    No 12. 《Instantiation-Net: 3D Mesh Reconstruction from Single 2D Image for Right Ventricle》
    No 13. 《A Theoretical Analysis of the Number of Shots in Few-Shot Learning》
    No 14. 《InceptionTime: Finding AlexNet for Time Series Classification》
    No 15. 《Keep It Simple: Graph Autoencoders Without Graph Convolutional Networks》
    No 16. 《DistilBERT, a distilled version of BERT: smaller, faster, cheaper and lighter》
    No 17. 《Overparameterized Neural Networks Can Implement Associative Memory》
    No 18. 《DeepView: Visualizing the behavior of deep neural networks in a part of the data space》
    No 19. 《Neural Text Generation with Unlikelihood Training》
    No 20. 《Interpretable Discriminative Dimensionality Reduction and Feature Selection on the Manifold》
    No 21. 《Manifold Forests: Closing the Gap on Neural Networks》
    No 22. 《DOOR-SLAM: Distributed, Online, and Outlier Resilient SLAM for Robotic Teams》
    No 23. 《Machine Learning for Clinical Predictive Analytics》
    No 24. 《RLBench: The Robot Learning Benchmark & Learning Environment》
    No 25. 《Dialogue Transformers》
    No 26. 《Adversarial Examples for Deep Learning Cyber Security Analytics》
    No 27. 《Unsupervised Generative 3D Shape Learning from Natural Images》
    No 28. 《Deep learning tools for the measurement of animal behavior in neuroscience》
    No 29. 《A Mean-Field Theory for Kernel Alignment with Random Features in Generative Adversarial Networks》
    No 30. 《Two Birds, One Stone: A Simple, Unified Model for Text Generation from Structured and Unstructured Data》