Representation Learning

Learning Transferrable Representations for Unsupervised Domain Adaptation NeurIPS 2016 Matching Networks for One Shot Learning NeurIPS 2016 Maximal Sparsity with Deep Networks? NeurIPS 2016 Mining Discriminative Triplets of Patches for Fine-Grained Classification CVPR 2016 Modeling Time-Frequency Patterns with LSTM vs. Convolutional Architectures for LVCSR Tasks Interspeech 2016 Multi-View Deep Network for Cross-View Classification CVPR 2016 Newtonian Scene Understanding: Unfolding the Dynamics of Objects in Static Images CVPR 2016 Online Collaborative Learning for Open-Vocabulary Visual Classifiers CVPR 2016 On Lloyd’s Algorithm: New Theoretical Insights for Clustering in Practice AISTATS 2016 Optimizing affinity-based binary hashing using auxiliary coordinates NeurIPS 2016 Patch-Based Convolutional Neural Network for Whole Slide Tissue Image Classification CVPR 2016 Pose-Aware Face Recognition in the Wild CVPR 2016 Rain Streak Removal Using Layer Priors CVPR 2016 Recombinator Networks: Learning Coarse-To-Fine Feature Aggregation CVPR 2016 Regularizing Long Short Term Memory With 3D Human-Skeleton Sequences for Action Recognition CVPR 2016 Relevant sparse codes with variational information bottleneck NeurIPS 2016 Residual Networks Behave Like Ensembles of Relatively Shallow Networks NeurIPS 2016 RIFD-CNN: Rotation-Invariant and Fisher Discriminative Convolutional Neural Networks for Object Detection CVPR 2016 Scaling Memory-Augmented Neural Networks with Sparse Reads and Writes NeurIPS 2016 Seeing Through the Human Reporting Bias: Visual Classifiers From Noisy Human-Centric Labels CVPR 2016 SketchNet: Sketch Classification With Web Images CVPR 2016 Slow and Steady Feature Analysis: Higher Order Temporal Coherence in Video CVPR 2016 Sparse Coding and Dictionary Learning With Linear Dynamical Systems CVPR 2016 Sparse Coding for Classification via Discrimination Ensemble CVPR 2016 Sparseness Meets Deepness: 3D Human Pose Estimation From Monocular Video CVPR 2016