Approches d’analyse distributionnelle pour améliorer la désambiguïsation sémantique. Optimal Vehicle Dispatching Schemes via Dynamic Pricing. Communication-Free Parallel Supervised Topic Models. Mutual Alignment Transfer Learning. Topically Driven Neural Language Model. Practical Algorithms for Best-K Identification in Multi-Armed Bandits. ClaC: Se …

Visual Attribute Transfer through Deep Image Analogy. Fader Networks: Manipulating Images by Sliding Attributes. ZOOpt: Toolbox for Derivative-Free Optimization. Simplified Gating in Long Short-term Memory (LSTM) Recurrent Neural Networks. Molecular De Novo Design through Deep Reinforcement Learning. Towards Faster Training of Global Covariance Poo …

A Holistic Approach for Optimizing DSP Block Utilization of a CNN implementation on FPGA. GPU Activity Prediction using Representation Learning. Orthogonal Machine Learning for Demand Estimation: High Dimensional Causal Inference in Dynamic Panels. A Novel Approach to Forecasting Financial Volatility with Gaussian Process Envelopes. Limitations of …

Genealogical Distance as a Diversity Estimate in Evolutionary Algorithms. Segmentation of Instances by Hashing. Learning Linear Dynamical Systems with High-Order Tensor Data for Skeleton based Action Recognition. Randomized Iterative Reconstruction for Sparse View X-ray Computed Tomography. Creativity: Generating Diverse Questions using Variational …