CoaCor: Code Annotation for Code Retrieval with Reinforcement Learning. Spatial Evolutionary Generative Adversarial Networks. Blending Diverse Physical Priors with Neural Networks. Synchronising audio and ultrasound by learning cross-modal embeddings. Machine learning algorithms to infer trait-matching and predict species interactions in ecological …

Self-supervised Learning of Distance Functions for Goal-Conditioned Reinforcement Learning. Model Similarity Mitigates Test Set Overuse. Protecting GANs against privacy attacks by preventing overfitting. One Point, One Object: Simultaneous 3D Object Segmentation and 6-DOF Pose Estimation. Joint Adversarial Training: Incorporating both Spatial and P …

A Predictive Model for Steady-State Multiphase Pipe Flow: Machine Learning on Lab Data. Learning Target-oriented Dual Attention for Robust RGB-T Tracking. Image-based reconstruction for the impact problems by using DPNNs. Problems with automating translation of movie/TV show subtitles. Falls Prediction Based on Body Keypoints and Seq2Seq Architectu …

Towards Open Intent Discovery for Conversational Text. Deep Parametric Shape Predictions using Distance Fields. Cooperative Cross-Stream Network for Discriminative Action Representation. Improved Inference via Deep Input Transfer. Scalable Graph Algorithms. A Mutual Bootstrapping Model for Automated Skin Lesion Segmentation and Classification. Deep …

Empirical Study of Easy and Hard Examples in CNN Training. Improving benchmarks for autonomous vehicles testing using synthetically generated images. Skin Lesion Classification Using Deep Neural Network. Two-Stream Video Classification with Cross-Modality Attention. Leveraging directed causal discovery to detect latent common causes. Joint Represen …

Scalable Bayesian Preference Learning for Crowds. Can We Trust You? On Calibration of a Probabilistic Object Detector for Autonomous Driving. A Structural Graph-Based Method for MRI Analysis. Deep learning Inversion of Seismic Data. Numerical Gaussian process Kalman filtering. Causality matters in medical imaging. Towards Pose-invariant Lip-Reading …

Visual Diagnosis of Dermatological Disorders: Human and Machine Performance. Extending the Service Composition Formalism with Relational Parameters. A Fast Saddle-Point Dynamical System Approach to Robust Deep Learning. LSTM-MSNet: Leveraging Forecasts on Sets of Related Time Series with Multiple Seasonal Patterns. DREAMT – Embodied Motivational C …