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Representation Learning

4516 directly classified papers

Papers per year

Papers

Discriminative Learning of Iteration-Wise Priors for Blind Deconvolution CVPR 2015
Simultaneous Feature Learning and Hash Coding With Deep Neural Networks CVPR 2015
Interaction Part Mining: A Mid-Level Approach for Fine-Grained Action Recognition CVPR 2015
FAemb: A Function Approximation-Based Embedding Method for Image Retrieval CVPR 2015
Multi-Task Deep Visual-Semantic Embedding for Video Thumbnail Selection CVPR 2015
Action Recognition With Trajectory-Pooled Deep-Convolutional Descriptors CVPR 2015
Learning to Compare Image Patches via Convolutional Neural Networks CVPR 2015
Sparse Composite Quantization CVPR 2015
segDeepM: Exploiting Segmentation and Context in Deep Neural Networks for Object Detection CVPR 2015
Beyond Spatial Pooling: Fine-Grained Representation Learning in Multiple Domains CVPR 2015
Fast and Flexible Convolutional Sparse Coding CVPR 2015
Modeling Video Evolution for Action Recognition CVPR 2015
Winner-Take-All Autoencoders NIPS 2015
Mind the Gap: A Generative Approach to Interpretable Feature Selection and Extraction NIPS 2015
Deep Temporal Sigmoid Belief Networks for Sequence Modeling NIPS 2015
Rethinking LDA: Moment Matching for Discrete ICA NIPS 2015
Texture Synthesis Using Convolutional Neural Networks NIPS 2015
Learning to Transduce with Unbounded Memory NIPS 2015
Variational Dropout and the Local Reparameterization Trick NIPS 2015
Discriminative Robust Transformation Learning NIPS 2015
Embedding Inference for Structured Multilabel Prediction NIPS 2015
Deeply Learning the Messages in Message Passing Inference NIPS 2015
Deep Visual Analogy-Making NIPS 2015
Orthogonal NMF through Subspace Exploration NIPS 2015
Skip-Thought Vectors NIPS 2015