Architectures

Jointly Learning to Locate and Classify Words Using Convolutional Networks Interspeech 2016 Jointly Modeling Embedding and Translation to Bridge Video and Language CVPR 2016 Jointly Optimizing Activation Coefficients of Convolutive NMF Using DNN for Speech Separation Interspeech 2016 Joint Optimization of Denoising Autoencoder and DNN Acoustic Model Based on Multi-Target Learning for Noisy Speech Recognition Interspeech 2016 Keystroke dynamics as signal for shallow syntactic parsing COLING 2016 Knowledge-Driven Event Embedding for Stock Prediction COLING 2016 Knowledge Matters: Importance of Prior Information for Optimization JMLR 2016 Kyoto-NMT: a Neural Machine Translation implementation in Chainer COLING 2016 L1-regularized Neural Networks are Improperly Learnable in Polynomial Time ICML 2016 Ladder Variational Autoencoders NeurIPS 2016 Large-Margin Softmax Loss for Convolutional Neural Networks ICML 2016 Large-Pose Face Alignment via CNN-Based Dense 3D Model Fitting CVPR 2016 Large-scale Multi-class and Hierarchical Product Categorization for an E-commerce Giant COLING 2016 Latent Attention For If-Then Program Synthesis NeurIPS 2016 Latent Factor Guided Convolutional Neural Networks for Age-Invariant Face Recognition CVPR 2016 LatticeRnn: Recurrent Neural Networks Over Lattices Interspeech 2016 Learnable Visual Markers NeurIPS 2016 Learning Activity Progression in LSTMs for Activity Detection and Early Detection CVPR 2016 Learning a Probabilistic Latent Space of Object Shapes via 3D Generative-Adversarial Modeling NeurIPS 2016 Learning Convolutional Neural Networks for Graphs ICML 2016 Learning Deep Feature Representations With Domain Guided Dropout for Person Re-Identification CVPR 2016 Learning Deep Features for Discriminative Localization CVPR 2016 Learning End-to-end Video Classification with Rank-Pooling ICML 2016 Learning from Small Sample Sets by Combining Unsupervised Meta-Training with CNNs NeurIPS 2016 Learning Local Image Descriptors With Deep Siamese and Triplet Convolutional Networks by Minimising Global Loss Functions CVPR 2016