2014.md

2014

Deep Learning

• A survey of multiple classifier systems as hybrid systems. science ⭐
• A survey on feature selection methods. science ⭐
• [DeepFaceVariant] Deep Learning Face Representation from Predicting 10,000 Classes. [pdf] [code] ⭐
• Dropout: A Simple Way to Prevent Neural Networks from Overfitting. [pdf]
• Generative Moment Matching Networks. [arxiv] [code]
• [Inception V1] Going Deeper with Convolutions. [url] ⭐
• Learning Longer Memory in Recurrent Neural Networks. [url]
• Learning to Execute. [url]
• Multi-scale Orderless Pooling of Deep Convolutional Activation Features. arxiv ⭐
• Network In Network. arxiv] ⭐
• [OverFeat] OverFeat: Integrated Recognition, Localization and Detection using Convolutional Networks. arxiv] code ⭐
• Recurrent Neural Network Regularization. arxiv tensorflow ⭐
• Show and Tell: A Neural Image Caption Generator.[url] ⭐
• [SPPNet] Spatial Pyramid Pooling in Deep Convolutional Networks for Visual Recognition. arxiv keras ⭐
• Striving for Simplicity: The All Convolutional Net. [arxiv] ⭐
• Towards end-to-end speech recognition with recurrent neural networks.[pdf] ⭐
• [VGGNet] Very Deep Convolutional Networks for Large-Scale Image Recognition. arxiv code ⭐
• What Regularized Auto-Encoders Learn from the Data. arxiv

Generative learning

• [GAN] Generative Adversarial Nets. arxiv code ⭐
• [CGNA] Conditional Generative Adversarial Nets. arxiv code ⭐
• Deep Visual-Semantic Alignments for Generating Image Descriptions. arxiv ⭐
• Explaining and Harnessing Adversarial Examples. arxiv
• On distinguishability criteria for estimating generative models. arxiv
• [VAE] Semi-Supervised Learning with Deep Generative Models. arxiv code tensorflow ⭐

Attention and memory

• End-to-end Continuous Speech Recognition using Attention-based Recurrent NN: First Results. [arxiv]
• Memory Networks. [arxiv] ⭐
• Multiple Object Recognition with Visual Attention. [url]
• [Attention In NLP First] Neural Machine Translation by Jointly Learning to Align and Translate. [arxiv] [code] ⭐
• [First Memory Paper] Neural Turing Machines. [arxiv] ⭐
• [RAM] Recurrent Models of Visual Attention. [arxiv] [tensorflow] ⭐
• [Seq2Seq] Sequence to Sequence Learning with Neural Networks. [arxiv] [code] ⭐

Deep Reinforcement Learning

• Deep Learning for Real-Time Atari Game Play Using Offline Monte-Carlo Tree Search Planning.[url]

Transfer learning

• Adaptation regularization: a general framework for transfer learning. [pdf] ⭐
• Heterogeneous Domain Adaptation for Multiple Classes. [pdf]
• How transferable are features in deep neural networks? arxiv
• Hybrid heterogeneous transfer learning through deep learning. [pdf]
• Learning with Augmented Features for Supervised and Semi-supervised Heterogeneous Domain Adaptation. [pdf]
• Machine learning for targeted display advertising: transfer learning in action. [url]
• Source Free Transfer Learning for Text Classification. [pdf]

Natural language process

• A Convolutional Neural Network for Modelling Sentences. arxiv code ⭐
• Automatic Construction and Natural-Language Description of Nonparametric Regression Models. [url]
• Convolutional Neural Networks for Sentence Classification. arxiv tensorflow ⭐
• Distributed Representations of Sentences and Documents Generating Distribution. [url] ⭐
• Effective Use of Word Order for Text Categorization with Convolutional Neural Networks. [url]
• Grammar as a Foreign Language. [url]
• [GRU] Learning Phrase Representations using RNN Encoder-Decoder for Statistical Machine Translation. arxiv ⭐
• On the Properties of Neural Machine Translation- Encoder-Decoder Approaches. [url]
• On Using Very Large Target Vocabulary for Neural Machine Translation. [url]
• Reading Text in the Wild with Convolutional Neural Networks. [url]
• [Seq2Seq] Sequence to Sequence Learning with Neural Networks. arxiv code ⭐