This paper introduced key aspects of applying Machine Learning (ML) mode...
Practical dialog systems need to deal with various knowledge sources, no...
In this paper, we conduct systematic measurement studies to show that th...
In this paper, we propose a novel SQL guided pre-training framework STAR...
This paper presents a methodology for combining programming and mathemat...
This research investigates analytical and quantitative methods for simul...
This paper outlines two approaches for mathematical, simulation, modelin...
Pre-training methods with contrastive learning objectives have shown
rem...
This paper presents a novel way to apply mathematical finance and machin...
The emergence of metaverse brings tremendous evolution to Non-Fungible T...
Large-scale pretrained foundation models have been an emerging paradigm ...
Distributed sparse deep learning has been widely used in many internet-s...
Pre-trained models have proved to be powerful in enhancing task-oriented...
Recently pre-training models have significantly improved the performance...
The Visual Question Answering (VQA) task utilizes both visual image and
...
In frequency division duplex mode of massive multiple-input multiple-out...
To fully understand interactions between marine hydrokinetic (MHK) equip...
In warehouse-scale cloud datacenters, co-locating online services and of...
Several fundamental changes in technology indicate domain-specific hardw...
As architecture, system, data management, and machine learning communiti...
To analyze marine animals behavior, seasonal distribution and abundance,...