A Function Approximation Method for Model-based High-Dimensional Inverse Reinforcement Learning. A Class of Logistic Functions for Approximating State-Inclusive Koopman Operators. Tumour Ellipsification in Ultrasound Images for Treatment Prediction in Breast Cancer. Objects that Sound. On denoising modulo 1 samples of a function. Localizing Actions …

Hyperparameter Optimization: A Spectral Approach. Neural Machine Translation. A Novel Approach for Image Segmentation based on Histograms computed from Hue-data. Stabilizing GAN Training with Multiple Random Projections. ShapeWorld - A new test methodology for multimodal language understanding. Tensor-on-tensor regression. Generate To Adapt: Aligni …

Facial Keypoints Detection. Second-order Convolutional Neural Networks. Complexity Analysis Approach for Prefabricated Construction Products Using Uncertain Data Clustering. Track Everything: Limiting Prior Knowledge in Online Multi-Object Recognition. Semi-Supervised and Active Few-Shot Learning with Prototypical Networks. GM-Net: Learning Feature …

Nonparametric Shape-restricted Regression. Learning Sparse Graphs for Prediction and Filtering of Multivariate Data Processes. On The Projection Operator to A Three-view Cardinality Constrained Set. An Extremal Optimization approach to parallel resonance constrained capacitor placement problem. Implicit Manifold Learning on Generative Adversarial N …