Many Task Learning with Task Routing. Rényi Differential Privacy of the Sampled Gaussian Mechanism. AP-Perf: Incorporating Generic Performance Metrics in Differentiable Learning. Assessing Disparate Impacts of Personalized Interventions: Identifiability and Bounds. Multi-task Learning for Aggregated Data using Gaussian Processes. Distantly Supervis …

Spatial Sampling Network for Fast Scene Understanding. On complexity of branching droplets in electrical field. DARNet: Deep Active Ray Network for Building Segmentation. Improving NeuroEvolution Efficiency by Surrogate Model-based Optimization with Phenotypic Distance Kernels. RankML: a Meta Learning-Based Approach for Pre-Ranking Machine Learning …

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 …

REM: From Structural Entropy to Community Structure Deception. Learn, Imagine and Create: Text-to-Image Generation from Prior Knowledge. SSIM -A Deep Learning Approach for Recovering Missing Time Series Sensor Data. Progressive Reconstruction of Visual Structure for Image Inpainting. FastSpeech: Fast,Robustand Controllable Text-to-Speech. Morpheus: …