- Training Deeper Neural Machine Translation Models with Transparent Attention
- Exploiting Deep Representations for Neural Machine Translation
- Fixup Initialization: Residual Learning Without Normalization
- Are Sixteen Heads Really Better than One?
- Depth Growing for Neural Machine Translation
- A Closer Look At Deep Learning Heuristics: Learning Rate Restarts, Warmup And Distillation
- Adaptive Gradient Methods With Dynamic Bound Of Learning Rate
- Efficient Training of BERT by Progressively Stacking
- Towards a Deep and Unified Understanding of Deep Neural Models in NLP
- Layer-Wise Coordination between Encoder and Decoder for Neural Machine Translation
- Multi-layer Representation Fusion for Neural Machine Translation
- Analysis of the Linux Random Number Generator
- Random Walks: A Review of Algorithms and Applications
- Random Number Generation: Types and Techniques
- Analysis of a Random Forests Model
- An Introduction to Conditional Random Fields for Relational Learning
- Gaussian Random Number Generators
- Random Forests and Decision Trees
- Rapidly-Exploring Random Trees: Progress and Prospects
- Parallel Random Numbers: As Easy as 1, 2, 3
- Random Forests
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