Fast Best Subset Selection: Coordinate Descent and Local Combinatorial Optimization Algorithms. Distilling Knowledge for Search-based Structured Prediction. Fast High-Dimensional Bilateral and Nonlocal Means Filtering. Gradient descent revisited via an adaptive online learning rate. Data-Efficient Hierarchical Reinforcement Learning. Improving Opti …

Locally Convex Sparse Learning over Networks. Proximal SCOPE for Distributed Sparse Learning: Better Data Partition Implies Faster Convergence Rate. A graph-embedded deep feedforward network for disease outcome classification and feature selection using gene expression data. Spiking Deep Residual Network. Removing Algorithmic Discrimination (With M …

Arbitrary Style Transfer with Deep Feature Reshuffle. An analytic theory of generalization dynamics and transfer learning in deep linear networks. Online Off-policy Prediction. Artificial Intelligence for Diabetes Case Management: The Intersection of Physical and Mental Health. A Comparative Study of Neural Network Models for Sentence Classificatio …

Deep Air Quality Forecasting Using Hybrid Deep Learning Framework. Disjoint Mapping Network for Cross-modal Matching of Voices and Faces. Leveraged volume sampling for linear regression. Cursive Scene Text Analysis by Deep Convolutional Linear Pyramids. How To Make the Gradients Small Stochastically: Even Faster Convex and Nonconvex SGD. Two-stage …

Observability Properties of Colored Graphs. Learning on Hypergraphs with Sparsity. Multi-Target Prediction: A Unifying View on Problems and Methods. Detection based Defense against Adversarial Examples from the Steganalysis Point of View. Deep Convolutional Neural Networks for Map-Type Classification. Towards Effective Deep Embedding for Zero-Shot …

Adpositional Supersenses for Mandarin Chinese. Network Decoupling: From Regular to Depthwise Separable Convolutions. Adversarial Auto-encoders for Speech Based Emotion Recognition. Generating Clues for Gender based Occupation De-biasing in Text. Robust Point Light Source Estimation Using Differentiable Rendering. Are BLEU and Meaning Representation …

Modeling and Soft-fault Diagnosis of Underwater Thrusters with Recurrent Neural Networks. Fully Automated Segmentation of Hyperreflective Foci in Optical Coherence Tomography Images. Generalizing multistain immunohistochemistry tissue segmentation using one-shot color deconvolution deep neural networks. A Compressed Sensing Approach for Distributio …

A method to Suppress Facial Expression in Posed and Spontaneous Videos. SRP: Efficient class-aware embedding learning for large-scale data via supervised random projections. Multimodal Trajectory Predictions for Autonomous Driving using Deep Convolutional Networks. Global Convergence to the Equilibrium of GANs using Variational Inequalities. Mining …

Language Identification and Named Entity Recognition in Hinglish Code Mixed Tweets. Automatic and Manual Web Annotations in an Infrastructure to handle Fake News and other Online Media Phenomena. Cross-Lingual Generation and Evaluation of a Wide-Coverage Lexical Semantic Resource. System Description of Supervised and Unsupervised Neural Machine Tra …

Detecting Grammatical Errors in the NTOU CGED System by Identifying Frequent Subsentences. Toward a Lightweight Solution for Less-resourced Languages: Creating a POS Tagger for Alsatian Using Voluntary Crowdsourcing. Word Sense Disambiguation Based on Word Similarity Calculation Using Word Vector Representation from a Knowledge-based Graph. Evaluat …

Training Deep AutoEncoders for Recommender Systems. Variational Inference and Deep Generative Models. Using Word Vectors to Improve Word Alignments for Low Resource Machine Translation. Visually Guided Spatial Relation Extraction from Text. Manzanilla: An Image Annotation Tool for TKB Building. Cross-Modal Ranking with Soft Consistency and Noisy La …