neural network

Do Computational Models Differ Systematically From Human Object Perception? CVPR 2016 Domain-Adversarial Training of Neural Networks JMLR 2016 Domain Separation Networks NeurIPS 2016 Dropout distillation ICML 2016 Effective LSTMs for Target-Dependent Sentiment Classification COLING 2016 Exponential expressivity in deep neural networks through transient chaos NeurIPS 2016 Fast Gated Neural Domain Adaptation: Language Model as a Case Study COLING 2016 Fast Zero-Shot Image Tagging CVPR 2016 f-GAN: Training Generative Neural Samplers using Variational Divergence Minimization NeurIPS 2016 Frequency Estimation from Waveforms Using Multi-Layered Neural Networks Interspeech 2016 Frustratingly Easy Neural Domain Adaptation COLING 2016 Generating Long-term Trajectories Using Deep Hierarchical Networks NeurIPS 2016 Gradual DropIn of Layers to Train Very Deep Neural Networks CVPR 2016 Hashtag Recommendation with Topical Attention-Based LSTM COLING 2016 Hybrid Orthogonal Projection and Estimation (HOPE): A New Framework to Learn Neural Networks JMLR 2016 Improper Deep Kernels AISTATS 2016 Improved Dropout for Shallow and Deep Learning NeurIPS 2016 Improved MVDR Beamforming Using Single-Channel Mask Prediction Networks Interspeech 2016 Improved Techniques for Training GANs NeurIPS 2016 Inference Networks for Sequential Monte Carlo in Graphical Models ICML 2016 InterActive: Inter-Layer Activeness Propagation CVPR 2016 Interpretation of Low Dimensional Neural Network Bottleneck Features in Terms of Human Perception and Production Interspeech 2016 Investigation of Semi-Supervised Acoustic Model Training Based on the Committee of Heterogeneous Neural Networks Interspeech 2016 L1-regularized Neural Networks are Improperly Learnable in Polynomial Time ICML 2016 Latent Attention For If-Then Program Synthesis NeurIPS 2016