Multivariate LSTM-FCNs for Time Series Classification. FasTer: Fast Tensor Completion with Nonconvex Regularization. Disentangled Representation Learning for Non-Parallel Text Style Transfer. Expert identification of visual primitives used by CNNs during mammogram classification. Financial Trading as a Game: A Deep Reinforcement Learning Approach. …

On the Relation Between the Sharpest Directions of DNN Loss and the SGD Step Length. Sequence-to-Action: End-to-End Semantic Graph Generation for Semantic Parsing. Unsupervised learning from videos using temporal coherency deep networks. This Time with Feeling: Learning Expressive Musical Performance. The Pros and Cons: Rank-aware Temporal Attentio …

Evaluating Layers of Representation in Neural Machine Translation on Part-of-Speech and Semantic Tagging Tasks. The effect of the choice of neural network depth and breadth on the size of its hypothesis space. Bayesian Prediction of Future Street Scenes through Importance Sampling based Optimization. Unsupervised Part-of-Speech Induction. PeSOA: Pe …

Automatic Generation of Text Descriptive Comments for Code Blocks. Generalized Earley Parser: Bridging Symbolic Grammars and Sequence Data for Future Prediction. Exploring the predictability of range-based volatility estimators using RNNs. End-to-end Speech Recognition with Word-based RNN Language Models. Gaussian Process Conditional Density Estima …

Algorithmic Aspects of Inverse Problems Using Generative Models. Numerical Aspects for Approximating Governing Equations Using Data. Unsupervised Learning for Surgical Motion by Learning to Predict the Future. ResumeNet: A Learning-based Framework for Automatic Resume Quality Assessment. Realtime Scheduling and Power Allocation Using Deep Neural Ne …

ActiveRemediation: The Search for Lead Pipes in Flint, Michigan. Bringing Order to the Cognitive Fallacy Zoo. Future Semantic Segmentation with Convolutional LSTM. Predictive Learning on Hidden Tree-Structured Ising Models. Towards Human-Machine Cooperation: Self-supervised Sample Mining for Object Detection. Feature Selection for Unsupervised Doma …

Stochastic Variance-Reduced Hamilton Monte Carlo Methods. Label-aware Double Transfer Learning for Cross-Specialty Medical Named Entity Recognition. Comparison-Based Random Forests. A fast quasi-Newton-type method for large-scale stochastic optimisation. Future-Prediction-Based Model for Neural Machine Translation. Improving Massive MIMO Belief Pro …