Constrained Bayesian Optimization for Automatic Chemical Design. Recurrent Filter Learning for Visual Tracking. Probabilistic Matrix Factorization for Automated Machine Learning. Efficient Antihydrogen Detection in Antimatter Physics by Deep Learning. Engineering fast multilevel support vector machines. An All-in-One Network for Dehazing and Beyond …

The low-rank hurdle model. Efficient Natural Language Response Suggestion for Smart Reply. Semantic Preserving Embeddings for Generalized Graphs. Deep Complex Networks. Towards 3D Human Pose Estimation in the Wild: a Weakly-supervised Approach. Efficient Parallel Translating Embedding For Knowledge Graphs. Benchmarking Single Image Dehazing and Bey …

Axiomatic Characterization of Data-Driven Influence Measures for Classification. SwellShark: A Generative Model for Biomedical Named Entity Recognition without Labeled Data. Deep Neural Network Capacity. Influence of Personal Preferences on Link Dynamics in Social Networks. Improving Malware Detection Accuracy by Extracting Icon Information. End-to …

Rapid parametric density estimation. Tensor-Generative Adversarial Network with Two-dimensional Sparse Coding: Application to Real-time Indoor Localization. The Parallel Algorithm for the 2-D Discrete Wavelet Transform. Approximating meta-heuristics with homotopic recurrent neural networks. Towards co-evolution of fitness predictors and Deep Neural …

Multi-Scale Wavelet Domain Residual Learning for Limited-Angle CT Reconstruction. Single-epoch supernova classification with deep convolutional neural networks. CLaC @ QATS: Quality Assessment for Text Simplification. Luck is Hard to Beat: The Difficulty of Sports Prediction. Tensor Robust Principal Component Analysis: Exact Recovery of Corrupted L …

Stratified Transfer Learning for Cross-domain Activity Recognition. Bib2vec: An Embedding-based Search System for Bibliographic Information. Compressing Recurrent Neural Network with Tensor Train. A Comparative Study of the Clinical use of Motion Analysis from Kinect Skeleton Data. A Tale of Two Animats: What does it take to have goals?. Finding St …

S4Net: Single Stage Salient-Instance Segmentation. Detecting and Grouping Identical Objects for Region Proposal and Classification. Strictly Proper Kernel Scoring Rules and Divergences with an Application to Kernel Two-Sample Hypothesis Testing. Integral Transforms from Finite Data: An Application of Gaussian Process Regression to Fourier Analysis. …

Point Linking Network for Object Detection. Joint Transmission Map Estimation and Dehazing using Deep Networks. Tech Report: A Fast Multiscale Spatial Regularization for Sparse Hyperspectral Unmixing. On conditional parity as a notion of non-discrimination in machine learning. Uncertainty measurement with belief entropy on interference effect in Qu …