No 1. 《Recent Advances in Deep Learning for Object Detection》
    No 2. 《Few-shot Text Classification with Distributional Signatures》
    No 3. 《AmazonQA: A Review-Based Question Answering Task》
    No 4. 《FairFace: Face Attribute Dataset for Balanced Race, Gender, and Age》
    No 5. 《Make a Face: Towards Arbitrary High Fidelity Face Manipulation》
    No 6. 《AutoGAN: Neural Architecture Search for Generative Adversarial Networks》
    No 7. 《Tag2Pix: Line Art Colorization Using Text Tag With SECat and Changing Loss》
    No 8. 《A Selective Overview of Deep Learning》
    No 9. 《Multimodal Style Transfer via Graph Cuts》
    No 10. 《Accelerated CNN Training Through Gradient Approximation》
    No 11. 【包含知识、对抗性强的表示学习】
    No 12. 《BERT Rediscovers the Classical NLP Pipeline》
    No 13. 《Federated Learning: Challenges, Methods, and Future Directions》
    No 14. 《SPA-GAN: Spatial Attention GAN for Image-to-Image Translation》
    No 15. 【针对不可预见对抗攻击的鲁棒性测试】
    No 16. 《iCassava 2019 Fine-Grained Visual Categorization Challenge》
    No 17. 《ExtremeC3Net: Extreme Lightweight Portrait Segmentation Networks using Advanced C3-modules》
    No 18. 《TunaGAN: Interpretable GAN for Smart Editing》
    No 19. 《AutoCorrect: Deep Inductive Alignment of Noisy Geometric Annotations》
    No 20. 《Saccader: Improving Accuracy of Hard Attention Models for Vision》
    No 21. 《Causality from the Point of View of Classical Statistics》
    No 22. 《Bayesian Inference for Large Scale Image Classification》
    No 23. 《Adversarial Neural Pruning》
    No 24. 《GLAMpoints: Greedily Learned Accurate Match points》
    No 25. 《Importance of spatial predictor variable selection in machine learning applications — Moving from data reproduction to spatial prediction》
    No 26. 《One Model To Rule Them All》
    No 27. 《NeuroMask: Explaining Predictions of Deep Neural Networks through Mask Learning》
    No 28. 《A Multimodal Deep Network for the Reconstruction of T2W MR Images》
    No 29. 《LXMERT: Learning Cross-Modality Encoder Representations from Transformers》
    No 30. 《Solar image denoising with convolutional neural networks》