Papers-2014.md

December 2014

• Semantic Image Segmentation with Deep Convolutional Nets and Fully Connected CRFs - [Arxiv] [QA]
• Adam: A Method for Stochastic Optimization - [Arxiv] [QA]
• Object Detectors Emerge in Deep Scene CNNs - [Arxiv] [QA]
• Empirical Evaluation of Gated Recurrent Neural Networks on Sequence Modeling - [Arxiv] [QA]

November 2014

• Understanding Deep Image Representations by Inverting Them - [Arxiv] [QA]
• Frequentism and Bayesianism: A Python-driven Primer - [Arxiv] [QA]
• Show and Tell: A Neural Image Caption Generator - [Arxiv] [QA]

October 2014

• ACE Bounds; SEMs with Equilibrium Conditions - [Arxiv] [QA]

September 2014

• Computable Stochastic Processes - [Arxiv] [QA]
• On the Properties of Neural Machine Translation: Encoder-Decoder Approaches - [Arxiv] [QA]

June 2014

• Recurrent Models of Visual Attention - [Arxiv] [QA]

May 2014

• Microsoft COCO: Common Objects in Context - [Arxiv] [QA]

April 2014

• A Tutorial on Principal Component Analysis - [Arxiv] [QA]