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Representation Learning

4516 directly classified papers

Papers per year

Papers

G2DeNet: Global Gaussian Distribution Embedding Network and Its Application to Visual Recognition CVPR 2017
Learning Shape Abstractions by Assembling Volumetric Primitives CVPR 2017
Fine-Grained Recognition as HSnet Search for Informative Image Parts CVPR 2017
From Motion Blur to Motion Flow: A Deep Learning Solution for Removing Heterogeneous Motion Blur CVPR 2017
Unsupervised Learning of Long-Term Motion Dynamics for Videos CVPR 2017
End-To-End Learning of Driving Models From Large-Scale Video Datasets CVPR 2017
Learning a Deep Embedding Model for Zero-Shot Learning CVPR 2017
iCaRL: Incremental Classifier and Representation Learning CVPR 2017
3D Convolutional Neural Networks for Efficient and Robust Hand Pose Estimation From Single Depth Images CVPR 2017
Reconstructing Transient Images From Single-Photon Sensors CVPR 2017
Predicting Behaviors of Basketball Players From First Person Videos CVPR 2017
Deep Sequential Context Networks for Action Prediction CVPR 2017
Discretely Coding Semantic Rank Orders for Supervised Image Hashing CVPR 2017
Disentangled Representation Learning GAN for Pose-Invariant Face Recognition CVPR 2017
Deep Joint Rain Detection and Removal From a Single Image CVPR 2017
Learning Detailed Face Reconstruction From a Single Image CVPR 2017
DeLiGAN : Generative Adversarial Networks for Diverse and Limited Data CVPR 2017
Learning to Detect Salient Objects With Image-Level Supervision CVPR 2017
FASON: First and Second Order Information Fusion Network for Texture Recognition CVPR 2017
Hash Embeddings for Efficient Word Representations NIPS 2017
Deep Supervised Discrete Hashing NIPS 2017
Incorporating Side Information by Adaptive Convolution NIPS 2017
PredRNN: Recurrent Neural Networks for Predictive Learning using Spatiotemporal LSTMs NIPS 2017
Compression-aware Training of Deep Networks NIPS 2017
Attend and Predict: Understanding Gene Regulation by Selective Attention on Chromatin NIPS 2017