爱可可老师一周论文精选(2018.11.3)

No 1. 《You May Not Need Attention》
No 2. 《Domain Adaptation for Semantic Segmentation via Class-Balanced Self-Training》
No 3. 《GAN Augmentation: Augmenting Training Data using Generative Adversarial Networks》
No 4. 《pair2vec: Compositional Word-Pair Embeddings for Cross-Sentence Inference》
No 5. 《Towards Efficient Large-Scale Graph Neural Network Computing》
No 6. 《Sequence classification with human attention》
No 7. 《Dynamic Graph Neural Networks》
No 8. 《CartoonGAN: Generative Adversarial Networks for Photo Cartoonization》
No 9. 《LadderNet: Multi-path networks based on U-Net for medical image segmentation》
No 10. 《WaveGlow: A Flow-based Generative Network for Speech Synthesis》
No 11. 《CatBoost: gradient boosting with categorical features support》
No 12. 《DropBlock: A regularization method for convolutional networks》
No 13. 《Transferrable Feature and Projection Learning with Class Hierarchy for Zero-Shot Learning》
No 14. 《Graph Convolutional Reinforcement Learning for Multi-Agent Cooperation》
No 15. 《Differentiable MPC for End-to-end Planning and Control》
No 16. 《Understanding Deep Convolutional Networks through Gestalt Theory》
No 17. 《Learning Material-Aware Local Descriptors for 3D Shapes》
No 18. 《Textbook Question Answering with Knowledge Graph Understanding and Unsupervised Open-set Text Comprehension》
No 19. 《Humans are still the best lossy image compressors》
No 20. 《A Comparative Study of Fruit Detection and Counting Methods for Yield Mapping in Apple Orchards》
No 21. 《Local Homology of Word Embeddings》
No 22. 《Super-pixel cloud detection using Hierarchical Fusion CNN》
No 23. 《Audio to Body Dynamics》
No 24. 《The Wasserstein transform》
No 25. 《Reversible Recurrent Neural Networks》
No 26. 《Recycle-GAN: Unsupervised Video Retargeting》
No 27. 《A Convolutional Autoencoder Approach to Learn Volumetric Shape Representations for Brain Structures》
No 28. 《Communities as Well Separated Subgraphs With Cohesive Cores: Identification of Core-Periphery Structures in Link Communities》
No 29. 《Automatic differentiation in ML: Where we are and where we should be going》
No 30. 《Dilated DenseNets for Relational Reasoning》

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