No 1. 《EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks》
    No 2. 《Pre-training Graph Neural Networks》
    No 3. 《Speech2Face: Learning the Face Behind a Voice》
    No 4. 《Light-Weight RetinaNet for Object Detection》
    No 5. 【无需3D显式形状建模的神经网络3D角色贴图】
    No 6. 《The Theory Behind Overfitting, Cross Validation, Regularization, Bagging, and Boosting: Tutorial》
    No 7. 《Revisiting Graph Neural Networks: All We Have is Low-Pass Filters》
    No 8. 《FAN: Focused Attention Networks》
    No 9. 《Stabilizing GANs with Octave Convolutions》
    No 10. 《FaceSwapNet: Landmark Guided Many-to-Many Face Reenactment》
    No 11. 《Analyzing Multi-Head Self-Attention: Specialized Heads Do the Heavy Lifting, the Rest Can Be Pruned》
    No 12. 《Graph Learning Network: A Structure Learning Algorithm》
    No 13. 《Training language GANs from Scratch》
    No 14. 《Disentangling Style and Content in Anime Illustrations》
    No 15. 《Bayesian Anomaly Detection Using Extreme Value Theory》
    No 16. 《Estimating Node Importance in Knowledge Graphs Using Graph Neural Networks》
    No 17. 《What is the Entropy of a Social Organization?》
    No 18. 《6-DOF GraspNet: Variational Grasp Generation for Object Manipulation》
    No 19. 《Levenshtein Transformer》
    No 20. 《Recurrent Kalman Networks: Factorized Inference in High-Dimensional Deep Feature Spaces》
    No 21. 《Adversarial Policies: Attacking Deep Reinforcement Learning》
    No 22. 《Adaptive Deep Kernel Learning》
    No 23. 《Discovering Hidden Structure in High Dimensional Human Behavioral Data via Tensor Factorization》
    No 24. 《SMART: Semantic Malware Attribute Relevance Tagging》
    No 25. 《N-BEATS: Neural basis expansion analysis for interpretable time series forecasting》
    No 26. 《Capsule Routing via Variational Bayes》
    No 27. 《Object Discovery with a Copy-Pasting GAN》
    No 28. 《Fast Convergence of Natural Gradient Descent for Overparameterized Neural Networks》
    No 29. 《Are Sixteen Heads Really Better than One?》
    No 30. 《Video-to-Video Translation for Visual Speech Synthesis》