Shixiang Gu (University of Cambridge): “Neural Adaptive Sequential Monte Carlo”

Philip Haeusser (Technische Universität München): “FlowNet: Learning Optical Flow with Convolutional Networks”

Anna Huang (Harvard University): “ChordRipple: Radical Chord Recommendations with chord2vec”

Jiwoong Im (Université de Montréal): “Conservativeness of untied auto-encoder”

Vamsi Ithapu (University of Wisconsin Madison): "Regularizing Deep networks via Matrix Completion”

Rico Jonschkowski (Technische Universität): “Learning State Representations with Robotic Priors”

Mikael Kageback (Chalmers University of Technology): “Neural context embeddings for automatic discovery of word senses”

Kazuya Kawakami (Carnegie Mellon University): “Learning to Representing Words in Context from Parallel Data for Improved Supersense

Tagging”

Suyoun Kim (Carnegie Mellon University): “Environmental Noise Embeddings for Robust Speech Recognition”

Kishore Reddy Konda (Goethe University Frankfurt): “Dropout as data augmentation”

Iryna Korshunova (Ghent University): “Epileptic Seizure Prediction using Convolutional Neural Networks”

David Krueger (Université de Montréal): “Speech Synthesis with Conditional Grammar Cells”

Angeliki Lazaridou (University of Trento): “Unveiling the Dreams of Word Embeddings: Towards Language-Driven Image Generation”

Kisuk Lee (Massachusetts Institute of Technology): “Recursive 2D-3D Convolutional Networks for Neuronal Boundary Detection”

Conrado Miranda (University of Campinas): “Multi-Objective Optimization for Self-Adjusting Weighted Gradient in Machine Learning Tasks”

Olof Mogren (Chalmers University of Technology): “Extractive Summarization by Aggregating Multiple Similarities”

Tsendsuren Munkhdalai (Chungbuk National University): “DeepText: End-to-end biomedical event extraction via deep learning and recursive projection model”

Natalia Neverova (INSA-Lyon / University of Guelph): “Hand pose estimation by deep transductive learning” 

Minh Nguyen (Rice University): “A Probabilistic Theory of Deep Learning”

Makoto Otsuka (Castalia Co., Ltd.): “Dynamic Boltzmann machines with homeostatic spike-timing dependent plasticity”

Lionel Pigou (Ghent University): “Beyond Temporal Pooling: Recurrence and Temporal Convolutions for Gesture Recognition in Video”

Dan Rosenbaum (The Hebrew University): “The Return of the Gating Network: generative models and discriminative training in image priors”

Levent Sagun (New York University): “Explorations on high dimensional landscapes”

Joao Felipe Santos (Institut National de la Recherche Scientifique): “Using convolutional and recurrent layers in deep neural networks for spectral speech enhancement”

Irina Sergienya (University of Munich): “Learning Better Embeddings for Rare Words Using Distributional Representations”

Soeren Kaae Soenderby (University of Copenhagen): “Transformer Networks for Classifying Sequences”

Ruben Villegas (University of Michigan): “Improving Object Detection with Deep Convolutional Networks via Bayesian Optimization and Structured”

Weizhong Yan (GE Global Research Center): “Deep Learning for Industrial Asset Condition Monitoring”

Wenpeng Yin (University of Munich): “Learning Word Meta-Embeddings by Combining Diverse Embedding Versions”

Asja Fischer (Université de Montréal): “Difference Target-Propagation”