爱可可老师一周论文精选(2019.3.16)

No 1. 《A Mean Field Theory of Batch Normalization》
No 2. 《Gradient Descent based Optimization Algorithms for Deep Learning Models Training》
No 3. 《Efficient Parameter-free Clustering Using First Neighbor Relations》
No 4. 《Deep CNN-based Multi-task Learning for Open-Set Recognition》
No 5. 《Theory III: Dynamics and Generalization in Deep Networks》
No 6. 《Financial Applications of Gaussian Processes and Bayesian Optimization》
No 7. 《Graph Colouring Meets Deep Learning: Effective Graph Neural Network Models for Combinatorial Problems》
No 8. 《GanDef: A GAN based Adversarial Training Defense for Neural Network Classifier》
No 9. 《Hierarchical Autoregressive Image Models with Auxiliary Decoders》
No 10. 《The Evolved Transformer》
No 11. 《Ranked List Loss for Deep Metric Learning》
No 12. 《Sliced Wasserstein Discrepancy for Unsupervised Domain Adaptation》
No 13. 《When random search is not enough: Sample-Efficient and Noise-Robust Blackbox Optimization of RL Policies》
No 14. 《Learning deep neural networks in blind deblurring framework》
No 15. 《Neural Language Modeling with Visual Features》
No 16. 《Graph-RISE: Graph-Regularized Image Semantic Embedding》
No 17. 《Why Learning of Large-Scale Neural Networks Behaves Like Convex Optimization》
No 18. 《Discovering Visual Patterns in Art Collections with Spatially-consistent Feature Learning》
No 19. 《A Survey on Graph Processing Accelerators: Challenges and Opportunities》
No 20. 《3DN: 3D Deformation Network》
No 21. 《The principles of adaptation in organisms and machines I: machine learning, information theory, and thermodynamics》
No 22. 《A Machine Learning Dataset Prepared From the NASA Solar Dynamics Observatory Mission》
No 23. 《Anatomical Priors in Convolutional Networks for Unsupervised Biomedical Segmentation》
No 24. 《Unsupervised Domain Adaptation using Feature-Whitening and Consensus Loss》
No 25. 《Deep Embeddings for Rare Audio Event Detection With Imbalanced Data》
No 26. 《GCNv2: Efficient Correspondence Prediction for Real-Time SLAM》
No 27. 《RGBD Based Dimensional Decomposition Residual Network for 3D Semantic Scene Completion》
No 28. 《Context-Aware Learning for Neural Machine Translation》
No 29. 《PanopticFusion: Online Volumetric Semantic Mapping at the Level of Stuff and Things》
No 30. 《RVOS: End-to-End Recurrent Network for Video Object Segmentation》

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