Deep Learning

Regularizing Long Short Term Memory With 3D Human-Skeleton Sequences for Action Recognition CVPR 2016 Reinforcement Learning for Visual Object Detection CVPR 2016 Relation Extraction with Multi-instance Multi-label Convolutional Neural Networks COLING 2016 Relationship between PreTraining and Maximum Likelihood Estimation in Deep Boltzmann Machines AISTATS 2016 Relevant sparse codes with variational information bottleneck NeurIPS 2016 Rényi Divergence Variational Inference NeurIPS 2016 Representation Learning for Speech Emotion Recognition Interspeech 2016 Residual Networks Behave Like Ensembles of Relatively Shallow Networks NeurIPS 2016 RETAIN: An Interpretable Predictive Model for Healthcare using Reverse Time Attention Mechanism NeurIPS 2016 Rethinking the Inception Architecture for Computer Vision CVPR 2016 Review Networks for Caption Generation NeurIPS 2016 Reward Augmented Maximum Likelihood for Neural Structured Prediction NeurIPS 2016 R-FCN: Object Detection via Region-based Fully Convolutional Networks NeurIPS 2016 RIFD-CNN: Rotation-Invariant and Fisher Discriminative Convolutional Neural Networks for Object Detection CVPR 2016 RNN-BLSTM Based Multi-Pitch Estimation Interspeech 2016 Robust Audio Event Recognition with 1-Max Pooling Convolutional Neural Networks Interspeech 2016 Robust Speaker Recognition with Combined Use of Acoustic and Throat Microphone Speech Interspeech 2016 Robust Speech Recognition Using Generalized Distillation Framework Interspeech 2016 Robust Visual Place Recognition With Graph Kernels CVPR 2016 Saliency Unified: A Deep Architecture for Simultaneous Eye Fixation Prediction and Salient Object Segmentation CVPR 2016 Scalable Adaptive Stochastic Optimization Using Random Projections NeurIPS 2016 Scalable Gradient-Based Tuning of Continuous Regularization Hyperparameters ICML 2016 Scaling Factorial Hidden Markov Models: Stochastic Variational Inference without Messages NeurIPS 2016 Scaling Memory-Augmented Neural Networks with Sparse Reads and Writes NeurIPS 2016 Scene Recognition With CNNs: Objects, Scales and Dataset Bias CVPR 2016