Sequence to sequence learning for unconstrained scene text recognition. Am I a Baller? Basketball Performance Assessment from First-Person Videos. Proceedings of NIPS 2016 Workshop on Interpretable Machine Learning for Complex Systems. Learning Compact Recurrent Neural Networks. Centrog Feature technique for vehicle type recognition at day and nigh …

Online Learning of Event Definitions. Neural Summarization by Extracting Sentences and Words. Image Captioning with Deep Bidirectional LSTMs. Trained Ternary Quantization. View Synthesis by Appearance Flow. Grad-CAM: Visual Explanations from Deep Networks via Gradient-based Localization. Action Recognition with Dynamic Image Networks. Regularizing …

Automatic Building Extraction in Aerial Scenes Using Convolutional Networks. Tsallis Regularized Optimal Transport and Ecological Inference. Edinburgh Neural Machine Translation Systems for WMT 16. Hierarchical Deep Reinforcement Learning: Integrating Temporal Abstraction and Intrinsic Motivation. Learning Convolutional Neural Networks using Hybrid …

Neural Combinatorial Optimization with Reinforcement Learning. Deep Learning and Its Applications to Machine Health Monitoring: A Survey. Local Subspace-Based Outlier Detection using Global Neighbourhoods. Modeling cognitive deficits following neurodegenerative diseases and traumatic brain injuries with deep convolutional neural networks. SIFT Meet …

Shirtless and Dangerous: Quantifying Linguistic Signals of Gender Bias in an Online Fiction Writing Community. Identifying Outliers using Influence Function of Multiple Kernel Canonical Correlation Analysis. Gene-Gene association for Imaging Genetics Data using Robust Kernel Canonical Correlation Analysis. Domain Adaptation with L2 constraints for …

Interpretable Two-level Boolean Rule Learning for Classification. PSF : Introduction to R Package for Pattern Sequence Based Forecasting Algorithm. Entity Embedding-based Anomaly Detection for Heterogeneous Categorical Events. Right Ideals of a Ring and Sublanguages of Science. Challenges in Bayesian Adaptive Data Analysis. Open-Vocabulary Semantic …

Measuring and Discovering Correlations in Large Data Sets. How to avoid ethically relevant Machine Consciousness. Disaggregation of SMAP L3 Brightness Temperatures to 9km using Kernel Machines. Corpus-level Fine-grained Entity Typing Using Contextual Information. Existence of Hierarchies and Human’s Pursuit of Top Hierarchy Lead to Power Law. Learn …