A Sampling Theory Perspective of Graph-based Semi-supervised Learning. Implicitly Incorporating Morphological Information into Word Embedding. Visually grounded learning of keyword prediction from untranscribed speech. Mesh-based 3D Textured Urban Mapping. Deep Models Under the GAN: Information Leakage from Collaborative Deep Learning. Classificati …

On Statistical Optimality of Variational Bayes. Adversarial Robustness: Softmax versus Openmax. CNN based Learning using Reflection and Retinex Models for Intrinsic Image Decomposition. Toward Geometric Deep SLAM. Of the People: Voting Is More Effective with Representative Candidates. Strong Baselines for Simple Question Answering over Knowledge Gr …

Natural Langevin Dynamics for Neural Networks. Residual Features and Unified Prediction Network for Single Stage Detection. DESIRE: Distant Future Prediction in Dynamic Scenes with Interacting Agents. Improving Video Generation for Multi-functional Applications. DeepCache: Principled Cache for Mobile Deep Vision. Where to put the Image in an Image …

Nearly-tight VC-dimension and pseudodimension bounds for piecewise linear neural networks. Fuzzy Clustering Data Given on the Ordinal Scale Based on Membership and Likelihood Functions Sharing. LIDAR-based Driving Path Generation Using Fully Convolutional Neural Networks. Why You Should Charge Your Friends for Borrowing Your Stuff. Greedy Sampling …

A large comparison of feature-based approaches for buried target classification in forward-looking ground-penetrating radar. The Eigenoption-Critic Framework. Exploring Temporal Preservation Networks for Precise Temporal Action Localization. Gabor Filter Assisted Energy Efficient Fast Learning Convolutional Neural Networks. Convergence Rates for De …

Classification of Diabetic Retinopathy Images Using Multi-Class Multiple-Instance Learning Based on Color Correlogram Features. Creation of an Annotated Corpus of Spanish Radiology Reports. Adversarial Variational Bayes Methods for Tweedie Compound Poisson Mixed Models. Adaptive PCA for Time-Varying Data. Model-based Catheter Segmentation in MRI-im …

Leveraging Sparse and Dense Feature Combinations for Sentiment Classification. The origins of Zipf’s meaning-frequency law. Bayesian Optimisation for Safe Navigation under Localisation Uncertainty. Consistent Kernel Density Estimation with Non-Vanishing Bandwidth. Learning to Factor Policies and Action-Value Functions: Factored Action Space Represe …