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Representation Learning

4516 directly classified papers

Papers per year

Papers

Interactive Abstractive Summarization for Event News Tweets EMNLP 2017
Cross-Lingual Word Representations: Induction and Evaluation EMNLP 2017
Zero-Shot Classification With Discriminative Semantic Representation Learning CVPR 2017
Collaborative Summarization of Topic-Related Videos CVPR 2017
3D Human Pose Estimation = 2D Pose Estimation + Matching CVPR 2017
Deep Semantic Feature Matching CVPR 2017
Learning Discriminative and Transformation Covariant Local Feature Detectors CVPR 2017
Deep Learning Human Mind for Automated Visual Classification CVPR 2017
DenseReg: Fully Convolutional Dense Shape Regression In-The-Wild CVPR 2017
MuCaLe-Net: Multi Categorical-Level Networks to Generate More Discriminating Features CVPR 2017
Semi-Supervised Deep Learning for Monocular Depth Map Prediction CVPR 2017
Simultaneous Feature Aggregating and Hashing for Large-Scale Image Search CVPR 2017
Non-Local Deep Features for Salient Object Detection CVPR 2017
Beyond Instance-Level Image Retrieval: Leveraging Captions to Learn a Global Visual Representation for Semantic Retrieval CVPR 2017
Incorporating Copying Mechanism in Image Captioning for Learning Novel Objects CVPR 2017
Straight to Shapes: Real-Time Detection of Encoded Shapes CVPR 2017
Improving RANSAC-Based Segmentation Through CNN Encapsulation CVPR 2017
Light Field Reconstruction Using Deep Convolutional Network on EPI CVPR 2017
Unsupervised Part Learning for Visual Recognition CVPR 2017
Maximal Sparsity with Deep Networks? NIPS 2016
Image Restoration Using Very Deep Convolutional Encoder-Decoder Networks with Symmetric Skip Connections NIPS 2016
Residual Networks Behave Like Ensembles of Relatively Shallow Networks NIPS 2016
Diffusion-Convolutional Neural Networks NIPS 2016
Scaling Memory-Augmented Neural Networks with Sparse Reads and Writes NIPS 2016
Domain Separation Networks NIPS 2016