Deep learning workload scheduling in gpu datacenters: A survey
Deep learning (DL) has demonstrated its remarkable success in a wide variety of fields. The
development of a DL model is a time-consuming and resource-intensive procedure. Hence …
development of a DL model is a time-consuming and resource-intensive procedure. Hence …
Deep learning workload scheduling in gpu datacenters: Taxonomy, challenges and vision
Deep learning (DL) shows its prosperity in a wide variety of fields. The development of a DL
model is a time-consuming and resource-intensive procedure. Hence, dedicated GPU …
model is a time-consuming and resource-intensive procedure. Hence, dedicated GPU …
Look, read and feel: Benchmarking ads understanding with multimodal multitask learning
Given the massive market of advertising and the sharply increasing online multimedia
content (such as videos), it is now fashionable to promote advertisements (ads) together with …
content (such as videos), it is now fashionable to promote advertisements (ads) together with …
PoseRec: 3D Human Pose Driven Online Advertisement Recommendation for Micro-videos
In this paper, we present PoseRec, an innovative approach aimed at enhancing online
advertisement recommendations for micro-videos to boost click-through rates. Addressing …
advertisement recommendations for micro-videos to boost click-through rates. Addressing …
Human pose driven object effects recommendation
In this paper, we research the new topic of object effects recommendation in micro-video
platforms, which is a challenging but important task for many practical applications such as …
platforms, which is a challenging but important task for many practical applications such as …
[PDF][PDF] Explainable Business Intelligence for Video Analytics in Retail
This paper explores research questions and perspectives for the next stage of societal
development, often referred to as Society 5.0, and the field of modern retail. Artificial …
development, often referred to as Society 5.0, and the field of modern retail. Artificial …
Active-learning-as-a-service: an automatic and efficient MLOps system for data-centric AI
The success of today's AI applications requires not only model training (Model-centric) but
also data engineering (Data-centric). In data-centric AI, active learning (AL) plays a vital role …
also data engineering (Data-centric). In data-centric AI, active learning (AL) plays a vital role …
On the Transition from Traditional Retail to Cloud-Supported E-Commerce: A Design Science Project
Modern retail is evolving from physical locations where customers are consulted and
provided with goods to digitized multi-channel experiences with a variety of compelling …
provided with goods to digitized multi-channel experiences with a variety of compelling …
Modelps: An interactive and collaborative platform for editing pre-trained models at scale
AI engineering has emerged as a crucial discipline to democratize deep neural network
(DNN) models among software developers with a diverse background. In particular, altering …
(DNN) models among software developers with a diverse background. In particular, altering …
Energy Efficient Hardware Architectures for Memory Prohibitive Deep Neural Networks
S Shivapakash - 2024 - search.proquest.com
Abstract Deep Neural Networks (DNN) form the backbone of modern Artificial Intelligence
(AI) systems. However, due to the high computational complexity and divergent shapes and …
(AI) systems. However, due to the high computational complexity and divergent shapes and …