Informing a BDI Player Model for an Interactive Narrative. Bayes Imbalance Impact Index: A Measure of Class Imbalanced Dataset for Classification Problem. Conservative Wasserstein Training for Pose Estimation. Fast and Secure Distributed Learning in High Dimension. Tactile Mapping and Localization from High-Resolution Tactile Imprints. Detecting to …

Analyzing the Cross-Sensor Portability of Neural Network Architectures for LiDAR-based Semantic Labeling. A Theory of Uncertainty Variables for State Estimation and Inference. Applying Abstract Argumentation Theory to Cooperative Game Theory. Towards Realistic Practices In Low-Resource Natural Language Processing: The Development Set. Enhancing the …

Self-attention based end-to-end Hindi-English Neural Machine Translation. A Hybrid Evolutionary Algorithm Framework for Optimising Power Take Off and Placements of Wave Energy Converters. Brain-inspired reverse adversarial examples. Investigating Multilingual NMT Representations at Scale. COLTRANE: ConvolutiOnaL TRAjectory NEtwork for Deep Map Infe …

GmCN: Graph Mask Convolutional Network. MCTS-based Automated Negotiation Agent (Extended Abstract). Asymmetric Correntropy for Robust Adaptive Filtering. Neural Network Inference on Mobile SoCs. Cost-Sensitive Training for Autoregressive Models. $α$ Belief Propagation as Fully Factorized Approximation. Implicit Langevin Algorithms for Sampling From …

Bayesian Zero-Shot Learning. LatentFusion: End-to-End Differentiable Reconstruction and Rendering for Unseen Object Pose Estimation. Zero-shot Learning for Audio-based Music Classification and Tagging. Machine Learning Cryptanalysis of a Quantum Random Number Generator. Sub-frame Appearance and 6D Pose Estimation of Fast Moving Objects. Single Clas …

Large scale representation learning from triplet comparisons. High Sensitivity Snapshot Spectrometer Based on Deep Network Unmixing. Trading via Image Classification. Clone Swarms: Learning to Predict and Control Multi-Robot Systems by Imitation. Learning Interpretable Shapelets for Time Series Classification through Adversarial Regularization. Mul …

Disentangled Skill Embeddings for Reinforcement Learning. A Survey of Recent Scalability Improvements for Semidefinite Programming with Applications in Machine Learning, Control, and Robotics. Quantifying the Semantic Core of Gender Systems. Computing Valid p-values for Image Segmentation by Selective Inference. Streetscape augmentation using gener …