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Paper

머신 러닝 논문 설명 및 리뷰

• Using Pre-Training Can Improve Model Robustness and Uncertainty 정리 - 26 September 2019
• Knowledge Distillation with Adversarial Samples Supporting Decision Boundary 정리 - 02 August 2019
• Fast AutoAugment 정리 - 13 July 2019
• Dropout on CNN - 31 May 2019
• Training Confidence-calibrated Classifiers for Detecting Out-of-Distribution Samples 정리 - 31 May 2019
• Hyperband; A Novel Bandit-Based Approach to Hyperparameter Optimization 정리 - 23 May 2019
• Unsupervised Machine Translation Using Monolingual Corpora Only 정리 - 09 April 2019
• Learning Graph Representations with Embedding Propagation 정리 - 04 April 2019
• A Convolutional Attention Network for Extreme Summarization of Source Code 정리 - 30 March 2019
• Measuring the Tendency of CNNs to Learn Surface Statistical Regularities 정리 - 29 March 2019
• Synthetic and Natural Noise Both Break Neural Machine Translation 정리 - 28 March 2019
• Self-Normalizing Neural Networks 정리 - 27 March 2019
• Population Based Training of Neural Networks 정리 - 20 March 2019
• On Detecting Adversarial Perturbations 정리 - 19 March 2019
• Adversarial Examples Are Not Easily Detected: Bypassing Ten Detection Methods 정리 - 16 March 2019