Representation Learning

Sparsifying Neural Network Connections for Face Recognition CVPR 2016 Stochastic Neural Networks with Monotonic Activation Functions AISTATS 2016 Streaming Kernel Principal Component Analysis AISTATS 2016 Structured Feature Learning for Pose Estimation CVPR 2016 Structured Prediction of Unobserved Voxels From a Single Depth Image CVPR 2016 Sub-Word Similarity based Search for Embeddings: Inducing Rare-Word Embeddings for Word Similarity Tasks and Language Modelling COLING 2016 Tagger: Deep Unsupervised Perceptual Grouping NeurIPS 2016 TenSR: Multi-Dimensional Tensor Sparse Representation CVPR 2016 Thin-Slicing for Pose: Learning to Understand Pose Without Explicit Pose Estimation CVPR 2016 TI-Pooling: Transformation-Invariant Pooling for Feature Learning in Convolutional Neural Networks CVPR 2016 Towards Conceptual Compression NeurIPS 2016 Visualizing and Understanding Deep Texture Representations CVPR 2016 Visual Word2Vec (vis-w2v): Learning Visually Grounded Word Embeddings Using Abstract Scenes CVPR 2016 Walk and Learn: Facial Attribute Representation Learning From Egocentric Video and Contextual Data CVPR 2016 We Are Humor Beings: Understanding and Predicting Visual Humor CVPR 2016 What Players Do With the Ball: A Physically Constrained Interaction Modeling CVPR 2016 Action Recognition With Trajectory-Pooled Deep-Convolutional Descriptors CVPR 2015 Associating Neural Word Embeddings With Deep Image Representations Using Fisher Vectors CVPR 2015 Beyond Spatial Pooling: Fine-Grained Representation Learning in Multiple Domains CVPR 2015 Collaborative Feature Learning From Social Media CVPR 2015 Data-Driven Depth Map Refinement via Multi-Scale Sparse Representation CVPR 2015 Deep Hashing for Compact Binary Codes Learning CVPR 2015 Deep LAC: Deep Localization, Alignment and Classification for Fine-Grained Recognition CVPR 2015 Deeply Learned Face Representations Are Sparse, Selective, and Robust CVPR 2015 Deeply Learning the Messages in Message Passing Inference NeurIPS 2015