High Quality Prediction of Protein Q8 Secondary Structure by Diverse Neural Network Architectures. The Text-Based Adventure AI Competition. Learning to Shoot in First Person Shooter Games by Stabilizing Actions and Clustering Rewards for Reinforcement Learning. Memorable Maps: A Framework for Re-defining Places in Visual Place Recognition. MVSNet: …

Destructiveness of Lexicographic Parsimony Pressure and Alleviation by a Concatenation Crossover in Genetic Programming. Matrix Factorization on GPUs with Memory Optimization and Approximate Computing. Neural Processes Mixed-Effect Models for Deep Normative Modeling of Clinical Neuroimaging Data. Cadre Modeling: Simultaneously Discovering Subpopula …

Reinforced Evolutionary Neural Architecture Search. Pseudo-LiDAR from Visual Depth Estimation: Bridging the Gap in 3D Object Detection for Autonomous Driving. Recommendation Through Mixtures of Heterogeneous Item Relationships. Disentangled Sequential Autoencoder. Disentangling Language and Knowledge in Task-Oriented Dialogs. Diagonal Discriminant …

A comparison of methods for model selection when estimating individual treatment effects. AllenNLP: A Deep Semantic Natural Language Processing Platform. Characterizing Adversarial Subspaces Using Local Intrinsic Dimensionality. Regret bounds for meta Bayesian optimization with an unknown Gaussian process prior. Simplicial Closure and higher-order …

Non-parametric clustering over user features and latent behavioral functions with dual-view mixture models. Fully Convolutional Model for Variable Bit Length and Lossy High Density Compression of Mammograms. A Canonical Image Set for Examining and Comparing Image Processing Algorithms. Exploring Adversarial Examples: Patterns of One-Pixel Attacks. …

Anomaly Detection for Industrial Big Data. CERES: Distantly Supervised Relation Extraction from the Semi-Structured Web. Location Augmentation for CNN. Field-weighted Factorization Machines for Click-Through Rate Prediction in Display Advertising. Multi-Level Deep Cascade Trees for Conversion Rate Prediction in Recommendation System. Generative Des …

Cross-layer Optimization for High Speed Adders: A Pareto Driven Machine Learning Approach. B-DCGAN:Evaluation of Binarized DCGAN for FPGA. Automatic Classification of Music Genre using Masked Conditional Neural Networks. Deep Interest Evolution Network for Click-Through Rate Prediction. Gaussian Process Classification for Variable Fidelity Data. Mo …

Deep Generative Models for Distribution-Preserving Lossy Compression. Bayesian Deep Learning on a Quantum Computer. TAP-DLND 1.0 : A Corpus for Document Level Novelty Detection. Deep Convolutional AutoEncoder-based Lossy Image Compression. Feature Distillation: DNN-Oriented JPEG Compression Against Adversarial Examples. Conditional Probability Mode …

NAIS-Net: Stable Deep Networks from Non-Autonomous Differential Equations. Towards Optimal Power Control via Ensembling Deep Neural Networks. Rotation Equivariant CNNs for Digital Pathology. Lightweight and Efficient Image Super-Resolution with Block State-based Recursive Network. Product-based Neural Networks for User Response Prediction over Mult …

From POS tagging to dependency parsing for biomedical event extraction. Recurrent Deep Embedding Networks for Genotype Clustering and Ethnicity Prediction. Adversarial Logit Pairing. Stories for Images-in-Sequence by using Visual and Narrative Components. On Learning Intrinsic Rewards for Policy Gradient Methods. Pose Flow: Efficient Online Pose Tr …

Experimental Tests of Spirituality. Visualizing and Understanding Deep Neural Networks in CTR Prediction. On Variational Methods for Motion Compensated Inpainting. Provable Gaussian Embedding with One Observation. Confusion2Vec: Towards Enriching Vector Space Word Representations with Representational Ambiguities. VMAV-C: A Deep Attention-based Rei …