Amortized Inference of Variational Bounds for Learning Noisy-OR. Learning a No-Reference Quality Assessment Model of Enhanced Images With Big Data. Transferable Neural Projection Representations. Decoding Molecular Graph Embeddings with Reinforcement Learning. The informal semantics of Answer Set Programming: A Tarskian perspective. Progressive Fas …

Incremental Bounded Model Checking of Artificial Neural Networks in CUDA. Estimating Early Fundraising Performance of Innovations via Graph-based Market Environment Model. Active Learning for Binary Classification with Abstention. HyperGAN: A Generative Model for Diverse, Performant Neural Networks. Multi-Objective Optimisation of Damper Placement …

Leveraging Reinforcement Learning Techniques for Effective Policy Adoption and Validation. Mining Human Mobility Data to Discover Locations and Habits. How robots in a large group make decisions as a whole? From biological inspiration to the design of distributed algorithms. Software Engineering Meets Deep Learning: A Literature Review. Convergence …

ZCU-NLP at MADAR 2019: Recognizing Arabic Dialects. Arabic Dialect Identification with Deep Learning and Hybrid Frequency Based Features. Optimistic Acceleration for Optimization. The En-Ru Two-way Integrated Machine Translation System Based on Transformer. Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics: Sys …

CONAN - COunter NArratives through Nichesourcing: a Multilingual Dataset of Responses to Fight Online Hate Speech. A Convex Relaxation for Multi-Graph Matching. Categorizing and Inferring the Relationship between the Text and Image of Twitter Posts. Customizing Neural Machine Translation for Subtitling. Bootstrapping a Neural Morphological Analyzer …

Unsupervised Face Normalization With Extreme Pose and Expression in the Wild. Enhancing Topic-to-Essay Generation with External Commonsense Knowledge. A Primal Dual Formulation For Deep Learning With Constraints. BioRelEx 1.0: Biological Relation Extraction Benchmark. An Empirical Investigation of Structured Output Modeling for Graph-based Neural D …