Functional Tensors for Probabilistic Programming. Joint Source-Target Self Attention with Locality Constraints. A Game Theoretic Approach to Class-wise Selective Rationalization. ProPublica’s COMPAS Data Revisited. Collaborative Multi-Agent Dialogue Model Training Via Reinforcement Learning. Investigating Evaluation of Open-Domain Dialogue Systems …

Declarative Data Analytics: a Survey. Supported-BinaryNet: Bitcell Array-based Weight Supports for Dynamic Accuracy-Latency Trade-offs in SRAM-based Binarized Neural Network. Neural Design Network: Graphic Layout Generation with Constraints. Bottleneck potentials in Markov Random Fields. Learning to Segment Brain Anatomy from 2D Ultrasound with Les …

Seeing and Hearing Egocentric Actions: How Much Can We Learn?. ADEPOS: A Novel Approximate Computing Framework for Anomaly Detection Systems and its Implementation in 65nm CMOS. Deep density ratio estimation for change point detection. Towards Distributed Logic Programming based on Computability Logic. On Simulation and Trajectory Prediction with G …

Decompose-and-Integrate Learning for Multi-class Segmentation in Medical Images. Debiasing Personal Identities in Toxicity Classification. Constrained Restless Bandits for Dynamic Scheduling in Cyber-Physical Systems. Stochastic dynamical modeling of turbulent flows. Multi-Agent Manipulation via Locomotion using Hierarchical Sim2Real. Continual Rei …

Bayesian Network Based Label Correlation Analysis For Multi-label Classifier Chain. An Automatic Digital Terrain Generation Technique for Terrestrial Sensing and Virtual Reality Applications. Modelling Dynamic Interactions between Relevance Dimensions. Cognitive Model Priors for Predicting Human Decisions. Unremarkable AI: Fitting Intelligent Decis …

3D Quantum Cuts for Automatic Segmentation of Porous Media in Tomography Images. Development of a Forecasting and Warning System on the Ecological Life-Cycle of Sunn Pest. Distilling On-Device Intelligence at the Network Edge. End-to-End Pore Extraction and Matching in Latent Fingerprints: Going Beyond Minutiae. Graph Neural Reasoning for 2-Quantif …

Convergence Guarantees for Adaptive Bayesian Quadrature Methods. Variance Reduction in Actor Critic Methods (ACM). Evolutionary Cell Aided Design for Neural Network Architectures. A Scalable Predictive Maintenance Model for Detecting Wind Turbine Component Failures Based on SCADA Data. Atari-fying the Vehicle Routing Problem with Stochastic Service …

A Method to Generate Synthetically Warped Document Image. Assigning Medical Codes at the Encounter Level by Paying Attention to Documents. Imputation estimators for unnormalized models with missing data. Decentralized Federated Learning: A Segmented Gossip Approach. Automating Predictive Modeling Process using Reinforcement Learning. Toward a bette …

CMB-GAN: Fast Simulations of Cosmic Microwave background anisotropy maps using Deep Learning. Headline Generation: Learning from Decomposable Document Titles. DLIMD: Dictionary Learning based Image-domain Material Decomposition for spectral CT. Learning to Fix Build Errors with Graph2Diff Neural Networks. Ultra-Reliable and Low-Latency Vehicular Co …

Wasserstein Distance based Deep Adversarial Transfer Learning for Intelligent Fault Diagnosis. AdversarialNAS: Adversarial Neural Architecture Search for GANs. Red Dragon AI at TextGraphs 2019 Shared Task: Language Model Assisted Explanation Generation. Online information of vaccines: information quality is an ethical responsibility of search engin …

Detecting Colorized Images via Convolutional Neural Networks: Toward High Accuracy and Good Generalization. Pixelated Semantic Colorization. Conservative set valued fields, automatic differentiation, stochastic gradient method and deep learning. Detecting Repeating Objects using Patch Correlation Analysis. Sum-of-squares meets square loss: Fast rat …

Information criteria for non-normalized models. Adaptive Embedding Gate for Attention-Based Scene Text Recognition. Music Transcription Based on Bayesian Piece-Specific Score Models Capturing Repetitions. Grounding Language Attributes to Objects using Bayesian Eigenobjects. Positive-Unlabeled Reward Learning. Fusing Visual, Textual and Connectivity …

Low-Cost Transfer Learning of Face Tasks. Checking Chase Termination over Ontologies of Existential Rules with Equality. Distilling the Knowledge of BERT for Text Generation. Human-Like Autonomous Car-Following Model with Deep Reinforcement Learning. Value of structural health monitoring quantification in partially observable stochastic environment …

Retrieving Similar Trajectories from Cellular Data at City Scale. MAPEL: Multi-Agent Pursuer-Evader Learning using Situation Report. Predicting AC Optimal Power Flows: Combining Deep Learning and Lagrangian Dual Methods. An Empirical Exploration of Deep Recurrent Connections and Memory Cells Using Neuro-Evolution. Contrastive Learning for Lifted Ne …

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 …