Accelerating Column Generation via Flexible Dual Optimal Inequalities with Application to Entity Resolution. Panoramic Annular Localizer: Tackling the Variation Challenges of Outdoor Localization Using Panoramic Annular Images and Active Deep Descriptors. A General Framework for Information Extraction using Dynamic Span Graphs. Multi-Agent Tensor F …

Stabilized SVRG: Simple Variance Reduction for Nonconvex Optimization. Conditioned Query Generation for Task-Oriented Dialogue Systems. Low-resource Deep Entity Resolution with Transfer and Active Learning. NCLS: Neural Cross-Lingual Summarization. Revisit Lmser and its further development based on convolutional layers. Mixout: Effective Regulariza …

d-blink: Distributed End-to-End Bayesian Entity Resolution. PAWS-X: A Cross-lingual Adversarial Dataset for Paraphrase Identification. QASC: A Dataset for Question Answering via Sentence Composition. Dressing as a Whole: Outfit Compatibility Learning Based on Node-wise Graph Neural Networks. Optimal Transport-based Alignment of Learned Character Re …

Cortical-inspired Wilson-Cowan-type equations for orientation-dependent contrast perception modelling. Lower bounds for testing graphical models: colorings and antiferromagnetic Ising models. Compacting, Picking and Growing for Unforgetting Continual Learning. Intelligent Solution System towards Parts Logistics Optimization. An Ensemble SVM-based A …

A novel repetition normalized adversarial reward for headline generation. AutoER: Automated Entity Resolution using Generative Modelling. The Verbal and Non Verbal Signals of Depression – Combining Acoustics, Text and Visuals for Estimating Depression Level. An Improved multi-objective genetic algorithm based on orthogonal design and adaptive clus …

Online k-means Clustering. On resampling vs. adjusting probabilistic graphical models in estimation of distribution algorithms. Amplifying Rényi Differential Privacy via Shuffling. Deep Recurrent Factor Model: Interpretable Non-Linear and Time-Varying Multi-Factor Model. Med2Meta: Learning Representations of Medical Concepts with Meta-Embeddings. D …

From Abstractions to “Natural Languages” for Coordinating Planning Agents. A Unified Bellman Optimality Principle Combining Reward Maximization and Empowerment. Elementos da teoria de aprendizagem de máquina supervisionada. Robust Real-time Pedestrian Detection in Aerial Imagery on Jetson TX2. Learning to Sample: an Active Learning Framework. Autom …

Unsupervised Joint Training of Bilingual Word Embeddings. Learning to Reinforcement Learn by Imitation. ON THE USE OF CONVOLUTIONAL AUTO-ENCODER FOR INCREMENTAL CLASSIFIER LEARNING IN CONTEXT AWARE ADVERTISEMENT. Generative Adversarial Models for Learning Private and Fair Representations. Deep Depth From Aberration Map. SYSTRAN @ WNGT 2019: DGT Tas …

Hierarchical Encoding of Sequential Data With Compact and Sub-Linear Storage Cost. An OCR system for the Unified Northern Alphabet. Learning Emphasis Selection for Written Text in Visual Media from Crowd-Sourced Label Distributions. APDrawingGAN: Generating Artistic Portrait Drawings From Face Photos With Hierarchical GANs. What a neural language m …

ACE: Artificial Checkerboard Enhancer to Induce and Evade Adversarial Attacks. A Semi-Markov Structured Support Vector Machine Model for High-Precision Named Entity Recognition. Objects365: A Large-Scale, High-Quality Dataset for Object Detection. Entity resolution for noisy ASR transcripts. ON BREIMAN’S DILEMMA IN NEURAL NETWORKS: SUCCESS AND FAIL …