爱可可老师一周论文精选(2019.11.9)

No 1. 《Understanding the Role of Momentum in Stochastic Gradient Methods》
No 2. 【今日焦点:深度学习的批判性评价——深度学习离通用智能还很远的十大原因】
No 3. 《Confident Learning: Estimating Uncertainty in Dataset Labels》
No 4. 《The Measure of Intelligence》
No 5. 《Gradient-based Adaptive Markov Chain Monte Carlo》
No 6. 《Learning Without Loss》
No 7. 《Multi-Stage Document Ranking with BERT》
No 8. 《Fast Transformer Decoding: One Write-Head is All You Need》
No 9. 《Bayesian Decision Models: A Primer – ScienceDirect》
No 10. 《High Fidelity Video Prediction with Large Stochastic Recurrent Neural Networks》
No 11. 《Deep Learning for Stock Selection Based on High Frequency Price-Volume Data》
No 12. 《Continual Unsupervised Representation Learning》
No 13. 《Learning Disentangled Representations for Recommendation》
No 14. 《Distribution Density, Tails, and Outliers in Machine Learning: Metrics and Applications》
No 15. 《The Deepfake Detection Challenge (DFDC) Preview Dataset》
No 16. 《Spatiotemporal Tile-based Attention-guided LSTMs for Traffic Video Prediction》
No 17. 《FCSR-GAN: Joint Face Completion and Super-resolution via Multi-task Learning》
No 18. 《Learning Data Manipulation for Augmentation and Weighting》
No 19. 《Unsupervised Multi-Domain Multimodal Image-to-Image Translation with Explicit Domain-Constrained Disentanglement》
No 20. 《Adversarial Feature Alignment: Avoid Catastrophic Forgetting in Incremental Task Lifelong Learning》
No 21. 《Generalization through Memorization: Nearest Neighbor Language Models》
No 22. 《Adversarial NLI: A New Benchmark for Natural Language Understanding》
No 23. 《How can we fool LIME and SHAP? Adversarial Attacks on Post hoc Explanation Methods》
No 24. 《Information Geometry of the Probability Simplex: A Short Course》
No 25. 【YOLACT实时实例分割】
No 26. 《Self-supervised Moving Vehicle Tracking with Stereo Sound》
No 27. 《Deep Learning of Subsurface Flow via Theory-guided Neural Network》
No 28. 《Attacking Optical Flow》
No 29. 《Dancing to Music》
No 30. 《Kernelized Bayesian Softmax for Text Generation》

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