Ultrametric Fitting by Gradient Descent. Integration of adversarial autoencoders with residual dense convolutional networks for estimation of non-Gaussian hydraulic conductivities. Self-Supervised Generalisation with Meta Auxiliary Learning. OpenDenoising: an Extensible Benchmark for Building Comparative Studies of Image Denoisers. The Architectura …

BERT4Rec: Sequential Recommendation with Bidirectional Encoder Representations from Transformer. Levenshtein Transformer. Localization, Detection and Tracking of Multiple Moving Sound Sources with a Convolutional Recurrent Neural Network. Online Adaptive Principal Component Analysis and Its extensions. Task-Oriented Language Grounding for Language …

LMVP: Video Predictor with Leaked Motion Information. A Simple and Effective Approach to Automatic Post-Editing with Transfer Learning. A concrete example of inclusive design: deaf-oriented accessibility. Domain-Relevant Embeddings for Medical Question Similarity. Traditional Machine Learning for Pitch Detection. Neural Rerendering in the Wild. Cor …

General Convolutional Sparse Coding with Unknown Noise. Fully Automated Multi-Organ Segmentation in Abdominal Magnetic Resonance Imaging with Deep Neural Networks. Comparison of Different Spike Sorting Subtechniques Based on Rat Brain Basolateral Amygdala Neuronal Activity. Extending Description Logic EL++ with Linear Constraints on the Probability …

Wasserstein Dependency Measure for Representation Learning. BEHRT: Transformer for Electronic Health Records. Acquisition of Inflectional Morphology in Artificial Neural Networks With Prior Knowledge. Unbabel’s Submission to the WMT2019 APE Shared Task: BERT-based Encoder-Decoder for Automatic Post-Editing. Mixed-Integer Optimization Approach to Le …

Experience Reuse with Probabilistic Movement Primitives. Weakly Supervised Person Re-Identification. Emerging Cross-lingual Structure in Pretrained Language Models. Adaptive Gradient for Adversarial Perturbations Generation. Rethinking Convolutional Features in Correlation Filter Based Tracking. Measuring the influence of mere exposure effect of TV …

Editing Text in the Wild. Automatic Post-Editing for Machine Translation. Using Machine Learning to Assess Short Term Causal Dependence and Infer Network Links. Two-sample Testing Using Deep Learning. Interpreting and Understanding Graph Convolutional Neural Network using Gradient-based Attribution Method. Context-Aware Monolingual Repair for Neura …

Exploiting Operation Importance for Differentiable Neural Architecture Search. Autolabeling 3D Objects with Differentiable Rendering of SDF Shape Priors. Algorithm Unrolling: Interpretable, Efficient Deep Learning for Signal and Image Processing. Uncovering Download Fraud Activities in Mobile App Markets. Improving CAT Tools in the Translation Work …

UdS Submission for the WMT 19 Automatic Post-Editing Task. Diversity by Phonetics and its Application in Neural Machine Translation. Effects of Depth, Width, and Initialization: A Convergence Analysis of Layer-wise Training for Deep Linear Neural Networks. Revisiting Multi-Step Nonlinearity Compensation with Machine Learning. KRNET: Image Denoising …

Video Magnification in the Wild Using Fractional Anisotropy in Temporal Distribution. How Training Data Affect the Accuracy and Robustness of Neural Networks for Image Classification. MoNERo: a Biomedical Gold Standard Corpus for the Romanian Language. Inferential Machine Comprehension: Answering Questions by Recursively Deducing the Evidence Chain …

Context-Reinforced Semantic Segmentation. Learning Backpropagation-Free Deep Architectures with Kernels. DBMS-KU Interpolation for WMT19 News Translation Task. Automatic diacritization of Tunisian dialect text using Recurrent Neural Network. Hierarchical Deep Learning for Arabic Dialect Identification. Energy-Based Modelling for Dialogue State Trac …

Are Red Roses Red? Evaluating Consistency of Question-Answering Models. Collect and Select: Semantic Alignment Metric Learning for Few-Shot Learning. Enhancing Opinion Role Labeling with Semantic-Aware Word Representations from Semantic Role Labeling. We Need to Talk about Standard Splits. Fast classification of small X-ray diffraction datasets usi …

Modeling Financial Analysts’ Decision Making via the Pragmatics and Semantics of Earnings Calls. Assessing the Ability of Neural Machine Translation Models to Perform Syntactic Rewriting. Detecting Paraphrases of Standard Clause Titles in Insurance Contracts. Learning to Film From Professional Human Motion Videos. Incorporating Fine-grained Events …

Meta-Embedding Sentence Representation for Textual Similarity. Domain Adaptation for Person-Job Fit with Transferable Deep Global Match Network. Improving Translations by Combining Fuzzy-Match Repair with Automatic Post-Editing. Speech-based Estimation of Bulbar Regression in Amyotrophic Lateral Sclerosis. Transformer-Based Capsule Network For Stoc …

Training Hybrid Language Models by Marginalizing over Segmentations. Neural Networks with Cheap Differential Operators. Efficient Dictionary Learning with Gradient Descent. Towards Scene Understanding: Unsupervised Monocular Depth Estimation With Semantic-Aware Representation. Transformer-XL: Language Modeling with Longer-Term Dependency. A Refined …