POSEAMM: A Unified Framework for Solving Pose Problems using an Alternating Minimization Method. Optimality and Approximation with Policy Gradient Methods in Markov Decision Processes. Entropic Risk Measure in Policy Search. InfoRL: Interpretable Reinforcement Learning using Information Maximization. Tensor Sparse PCA and Face Recognition: A Novel …

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. …

A Modern Retrospective on Probabilistic Numerics. Procrustes registration of two-dimensional statistical shape models without correspondences. Fine-grained lesion annotation in CT images with knowledge mined from radiology reports. Persistence Curves: A canonical framework for summarizing persistence diagrams. Visualizing Representational Dynamics …

A novel hybrid model based on multi-objective Harris hawks optimization algorithm for daily PM2.5 and PM10 forecasting. Data-driven Policy on Feasibility Determination for the Train Shunting Problem. SLEEPER: interpretable Sleep staging via Prototypes from Expert Rules. U-CNNpred: A Universal CNN-based Predictor for Stock Markets. An Algorithmic In …

Supervised Initialization of LSTM Networks for Fundamental Frequency Detection in Noisy Speech Signals. Application of Fuzzy Clustering for Text Data Dimensionality Reduction. Towards Fair and Decentralized Privacy-Preserving Deep Learning. StartNet: Online Detection of Action Start in Untrimmed Videos. Saliency Prediction on Omnidirectional Images …

Multimodal Dataset of Human-Robot Hugging Interaction. Heartbeat Anomaly Detection using Adversarial Oversampling. Multi-Modal Generative Adversarial Network for Short Product Title Generation in Mobile E-Commerce. Meta-Q-Learning. Neural Logic Reinforcement Learning. Learning Disentangled Representations with Reference-Based Variational Autoencode …

Online Adaptation through Meta-Learning for Stereo Depth Estimation. Towards Learning How to Properly Play UNO with the iCub Robot. A Neural Network Detector for Spectrum Sensing under Uncertainties. Multiagent Rollout Algorithms and Reinforcement Learning. Object Exchangeability in Reinforcement Learning: Extended Abstract. Combining Machine Learn …

Evaluation of an AI system for the automated detection of glaucoma from stereoscopic optic disc photographs: the European Optic Disc Assessment Study. Demand Prediction for Electric Vehicle Sharing. Competitive Bridge Bidding with Deep Neural Networks. Context-Aware Zero-Shot Recognition. DSConv: Efficient Convolution Operator. Sample Efficient Pol …

Discretizing Continuous Action Space for On-Policy Optimization. Entropy Regularization with Discounted Future State Distribution in Policy Gradient Methods. Evolution of Robust High Speed Optical-Flow-Based Landing for Autonomous MAVs. Hair Segmentation on Time-of-Flight RGBD Images. Bounds for the VC Dimension of 1NN Prototype Sets. LSTM Language …

Convolutional Sequence Generation for Skeleton-Based Action Synthesis. Normalization Helps Training of Quantized LSTM. GraphRel: Modeling Text as Relational Graphs for Joint Entity and Relation Extraction. Learning Trilingual Dictionaries for Urdu – Roman Urdu – English. Fast Efficient Hyperparameter Tuning for Policy Gradient Methods. Heavy Rain …

A Non-negative Symmetric Encoder-Decoder Approach for Community Detection. A Late Fusion CNN for Digital Matting. Greedy Sampling for Approximate Clustering in the Presence of Outliers. PIE: A Large-Scale Dataset and Models for Pedestrian Intention Estimation and Trajectory Prediction. Splitter: Learning Node Representations that Capture Multiple S …