爱可可老师一周论文精选(2019.11.2)

No 1. 【少样本视频到视频合成:人体骨架、涂鸦、街景分割图的逼真视频合成】
No 2. 【YOLACT实时实例分割】
No 3. 《Deep Semantic Segmentation of Natural and Medical Images: A Review》
No 4. 《SinGAN: Learning a Generative Model from a Single Natural Image》
No 5. 《Structured Low-Rank Algorithms: Theory, MR Applications, and Links to Machine Learning》
No 6. 《AI Benchmark: All About Deep Learning on Smartphones in 2019》
No 7. 【可微凸优化层】
No 8. 《Deep Learning vs. Traditional Computer Vision》
No 9. 《A Survey on Knowledge Graph Embeddings with Literals: Which model links better Literal-ly?》
No 10. 《Poisson CNN: Convolutional Neural Networks for the Solution of the Poisson Equation with Varying Meshes and Dirichlet Boundary Conditions》
No 11. 《Newton vs the machine: solving the chaotic three-body problem using deep neural networks》
No 12. 《Guided Image-to-Image Translation with Bi-Directional Feature Transformation》
No 13. 《Seeing What a GAN Cannot Generate》
No 14. 《BART: Denoising Sequence-to-Sequence Pre-training for Natural Language Generation, Translation, and Comprehension》
No 15. 《Scalable Deep Neural Networks via Low-Rank Matrix Factorization》
No 16. 《Multi-Stage Document Ranking with BERT》
No 17. 《Weakly-supervised Deep Anomaly Detection with Pairwise Relation Learning》
No 18. 《HUBERT Untangles BERT to Improve Transfer across NLP Tasks》
No 19. 《Weakly Supervised Disentanglement with Guarantees》
No 20. 《Consistency Regularization for Generative Adversarial Networks》
No 21. 《Multiplayer AlphaZero》
No 22. 《Supervised Encoding for Discrete Representation Learning》
No 23. 《Meta-World: A Benchmark and Evaluation for Multi-Task and Meta Reinforcement Learning》
No 24. 《Learning Disentangled Representations for Recommendation》
No 25. 《H-VECTORS: Utterance-level Speaker Embedding Using A Hierarchical Attention Model》
No 26. 《MeteorNet: Deep Learning on Dynamic 3D Point Cloud Sequences》
No 27. 《Landmark Ordinal Embedding》
No 28. 《Semi-Supervised Natural Language Approach for Fine-Grained Classification of Medical Reports》
No 29. 《Learning to Predict Without Looking Ahead: World Models Without Forward Prediction》
No 30. 《Adversarial NLI: A New Benchmark for Natural Language Understanding》

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