OpenVSLAM: A Versatile Visual SLAM Framework. Time-warping invariants of multidimensional time series. A new evaluation framework for topic modeling algorithms based on synthetic corpora. Supervised online diarization with sample mean loss for multi-domain data. Learning Perspective Undistortion of Portraits. Scalable Kernel Learning via the Discri …

Unsupervised Annotation of Phenotypic Abnormalities via Semantic Latent Representations on Electronic Health Records. Curriculum semi-supervised segmentation. Agnostic Federated Learning. Deep Multi-View Learning via Task-Optimal CCA. Utterance-to-Utterance Interactive Matching Network for Multi-Turn Response Selection in Retrieval-Based Chatbots. …

Exponential Separations in Local Differential Privacy. Semantic filtering through deep source separation on microscopy images. Adaptive Robust Optimization with Nearly Submodular Structure. Analysis and Improvement of Adversarial Training in DQN Agents With Adversarially-Guided Exploration (AGE). Localized Debiased Machine Learning: Efficient Estim …

XNAS: Neural Architecture Search with Expert Advice. Automated Steel Bar Counting and Center Localization with Convolutional Neural Networks. Multi-hop Convolutions on Weighted Graphs. Selective Style Transfer for Text. Structuring Latent Spaces for Stylized Response Generation. Learning to Perform Role-Filler Binding with Schematic Knowledge. Join …

Multiagent Evaluation under Incomplete Information. Full error analysis for the training of deep neural networks. Novelty Detection and Learning from Extremely Weak Supervision. Multiple Style-Transfer in Real-Time. Dataset Growth in Medical Image Analysis Research. FAMED-Net: A Fast and Accurate Multi-scale End-to-end Dehazing Network. The Error-F …

Cribriform pattern detection in prostate histopathological images using deep learning models. Policy Optimization with Stochastic Mirror Descent. A Bayesian Finite Mixture Model with Variable Selection for Data with Mixed-type Variables. Data-driven Prognostics with Predictive Uncertainty Estimation using Ensemble of Deep Ordinal Regression Models. …