爱可可老师一周论文精选(2019.3.9)

No 1. 《Attention is not Explanation》
No 2. 《Financial series prediction using Attention LSTM》
No 3. 《Insights into LSTM Fully Convolutional Networks for Time Series Classification》
No 4. 《High-Fidelity Image Generation With Fewer Labels》
No 5. 《Learning where to look: Semantic-Guided Multi-Attention Localization for Zero-Shot Learning》
No 6. 《Detecting Overfitting via Adversarial Examples》
No 7. 《A Joint Deep Learning Approach for Automated Liver and Tumor Segmentation》
No 8. 《Data augmentation using learned transforms for one-shot medical image segmentation》
No 9. 《VideoFlow: A Flow-Based Generative Model for Video》
No 10. 《Degenerate Feedback Loops in Recommender Systems》
No 11. 《Evaluating Feature Importance Estimates》
No 12. 《Video Face Recognition: Component-wise Feature Aggregation Network (C-FAN)》
No 13. 《Fast Graph Representation Learning with PyTorch Geometric》
No 14. 《Structure Tree-LSTM: Structure-aware Attentional Document Encoders》
No 15. 《Learning a smooth kernel regularizer for convolutional neural networks》
No 16. 《Unsupervised Visual Domain Adaptation: A Deep Max-Margin Gaussian Process Approach》
No 17. 《Comparison of Deep Neural Networks and Deep Hierarchical Models for Spatio-Temporal Data》
No 18. 《DROP: A Reading Comprehension Benchmark Requiring Discrete Reasoning Over Paragraphs》
No 19. 《Adversarial Attacks on Time Series》
No 20. 《A comparative evaluation of novelty detection algorithms for discrete sequences》
No 21. 《Evolutionary Neural AutoML for Deep Learning》
No 22. 《Efficient Contextual Representation Learning Without Softmax Layer》
No 23. 《Large-Scale Object Mining for Object Discovery from Unlabeled Video》
No 24. 《Entity Recognition at First Sight: Improving NER with Eye Movement Information》
No 25. 《A Mean Field Theory of Batch Normalization》
No 26. 《Nonlinear Markov Random Fields Learned via Backpropagation》
No 27. 《Learning to Plan via Neural Exploration-Exploitation Trees》
No 28. 《Using Natural Language for Reward Shaping in Reinforcement Learning》
No 29. 《ROI-10D: Monocular Lifting of 2D Detection to 6D Pose and Metric Shape》
No 30. 《Automated Model Selection with Bayesian Quadrature》

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