research
∙
08/09/2023
Entire Space Cascade Delayed Feedback Modeling for Effective Conversion Rate Prediction
Conversion rate (CVR) prediction is an essential task for large-scale e-...
share
research
∙
06/08/2023
Efficient and Equivariant Graph Networks for Predicting Quantum Hamiltonian
We consider the prediction of the Hamiltonian matrix, which finds use in...
research
∙
04/03/2023
Learning Sparsity of Representations with Discrete Latent Variables
Deep latent generative models have attracted increasing attention due to...
research
∙
04/03/2023
Uncertainty Propagation in Node Classification
Quantifying predictive uncertainty of neural networks has recently attra...
research
∙
02/26/2023
Multi-objective Generative Design of Three-Dimensional Composite Materials
Composite materials with 3D architectures are desirable in a variety of ...
research
∙
07/10/2022
Human-Centric Research for NLP: Towards a Definition and Guiding Questions
With Human-Centric Research (HCR) we can steer research activities so th...
research
∙
05/25/2022
A Human-Centric Assessment Framework for AI
With the rise of AI systems in real-world applications comes the need fo...
research
∙
02/16/2022
Self-Supervised Representation Learning via Latent Graph Prediction
Self-supervised learning (SSL) of graph neural networks is emerging as a...
research
∙
01/12/2022
Evolutionary Optimization for Proactive and Dynamic Computing Resource Allocation in Open Radio Access Network
Intelligent techniques are urged to achieve automatic allocation of the ...
research
∙
04/18/2021
Stochastic Optimization of Area Under Precision-Recall Curve for Deep Learning with Provable Convergence
Areas under ROC (AUROC) and precision-recall curves (AUPRC) are common m...
research
∙
02/22/2021
