No 1. 【(滴滴)深度价值网络多驾驶员订单调度方法】
    No 2. 《Towards Explainable NLP: A Generative Explanation Framework for Text Classification》
    No 3. 《Graph Neural Networks for Small Graph and Giant Network Representation Learning: An Overview》
    No 4. 《Optimizing Multi-GPU Parallelization Strategies for Deep Learning Training》
    No 5. 【硕士论文：多说话人自动语音克隆】
    No 6. 《hood2vec: Identifying Similar Urban Areas Using Mobility Networks》
    No 7. 《FSS-1000: A 1000-Class Dataset for Few-Shot Segmentation》
    No 8. 《Grape detection, segmentation and tracking using deep neural networks and three-dimensional association》
    No 9. 《A Simple and Effective Approach for Fine Tuning Pre-trained Word Embeddings for Improved Text Classification》
    No 10. 《Machine Learning at the Network Edge: A Survey》
    No 11. 《Structuring Autoencoders》
    No 12. 《Sparse-to-Dense Hypercolumn Matching for Long-Term Visual Localization》
    No 13. 《Invariance reduces Variance: Understanding Data Augmentation in Deep Learning and Beyond》
    No 14. 《Composition-Aware Image Aesthetics Assessment》
    No 15. 《ViLBERT: Pretraining Task-Agnostic Visiolinguistic Representations for Vision-and-Language Tasks》
    No 16. 《Learnability for the Information Bottleneck》
    No 17. 《An Encoder-Decoder Based Approach for Anomaly Detection with Application in Additive Manufacturing》
    No 18. 《ERNIE 2.0: A Continual Pre-training Framework for Language Understanding》
    No 19. 《Structured3D: A Large Photo-realistic Dataset for Structured 3D Modeling》
    No 20. 《Chainer: A Deep Learning Framework for Accelerating the Research Cycle》
    No 21. 《How Good is SGD with Random Shuffling?》
    No 22. 《Functional probabilistic programming for scalable Bayesian modelling》
    No 23. 《Beyond BLEU: Training Neural Machine Translation with Semantic Similarity》
    No 24. 《Bringing Giant Neural Networks Down to Earth with Unlabeled Data》
    No 25. 《Towards Explaining the Regularization Effect of Initial Large Learning Rate in Training Neural Networks》
    No 26. 《Autoencoder-Based Incremental Class Learning without Retraining on Old Data》
    No 27. 《PU-GAN: a Point Cloud Upsampling Adversarial Network》
    No 28. 《Word2vec to behavior: morphology facilitates the grounding of language in machines》
    No 29. 《Cross-Attention End-to-End ASR for Two-Party Conversations》
    No 30. 《Robust Learning with Jacobian Regularization》