Binary Probability Model for Learning Based Image Compression. Hierarchical Quantized Autoencoders. Efficient Riemannian Optimization on the Stiefel Manifold via the Cayley Transform. Federated Learning for Localization: A Privacy-Preserving Crowdsourcing Method. REAK: Reliability analysis through Error rate-based Adaptive Kriging. Sequential Neura …

Brain Metastasis Segmentation Network Trained with Robustness to Annotations with Multiple False Negatives. Reinforcement Learning in Economics and Finance. Safe reinforcement learning for probabilistic reachability and safety specifications: A Lyapunov-based approach. SemanticPOSS: A Point Cloud Dataset with Large Quantity of Dynamic Instances. A …

Reinforcement Learning with Probabilistically Complete Exploration. Unknown-Aware Deep Neural Network. DP-LSSGD: An Optimization Method to Lift the Utility in Privacy-Preserving ERM. BERT for Sequence-to-Sequence Milti-Label Text Classification. Latent Question Reformulation and Information Accumulation for Multi-Hop Machine Reading. Data-Driven Ap …