deep neural network

SALICON: Reducing the Semantic Gap in Saliency Prediction by Adapting Deep Neural Networks ICCV 2015 Scalable Bayesian Optimization Using Deep Neural Networks ICML 2015 Semi-supervised Learning with Ladder Networks NeurIPS 2015 Submodularity in Data Subset Selection and Active Learning ICML 2015 Teaching Machines to Read and Comprehend NeurIPS 2015 The Return of the Gating Network: Combining Generative Models and Discriminative Training in Natural Image Priors NeurIPS 2015 Training Very Deep Networks NeurIPS 2015 Where are they looking? NeurIPS 2015 DeepFace: Closing the Gap to Human-Level Performance in Face Verification CVPR 2014 DeepPose: Human Pose Estimation via Deep Neural Networks CVPR 2014 Do Deep Nets Really Need to be Deep? NeurIPS 2014 Dropout: A Simple Way to Prevent Neural Networks from Overfitting JMLR 2014 How transferable are features in deep neural networks? NeurIPS 2014 Learning with Pseudo-Ensembles NeurIPS 2014 Leveraging Hierarchical Parametric Networks for Skeletal Joints Based Action Segmentation and Recognition CVPR 2014 Multi-View Perceptron: a Deep Model for Learning Face Identity and View Representations NeurIPS 2014 On the Number of Linear Regions of Deep Neural Networks NeurIPS 2014 Scalable Object Detection using Deep Neural Networks CVPR 2014 Searching for Higgs Boson Decay Modes with Deep Learning NeurIPS 2014 Adaptive dropout for training deep neural networks NeurIPS 2013 A Deep Architecture for Matching Short Texts NeurIPS 2013 Deep Neural Networks for Object Detection NeurIPS 2013 DeViSE: A Deep Visual-Semantic Embedding Model NeurIPS 2013 Discriminative Transfer Learning with Tree-based Priors NeurIPS 2013 On the importance of initialization and momentum in deep learning ICML 2013