research
∙
06/27/2023
DataCI: A Platform for Data-Centric AI on Streaming Data
We introduce DataCI, a comprehensive open-source platform designed speci...
share
research
∙
06/14/2023
Towards Balanced Active Learning for Multimodal Classification
Training multimodal networks requires a vast amount of data due to their...
research
∙
01/01/2023
MIGPerf: A Comprehensive Benchmark for Deep Learning Training and Inference Workloads on Multi-Instance GPUs
New architecture GPUs like A100 are now equipped with multi-instance GPU...
research
∙
07/19/2022
Active-Learning-as-a-Service: An Efficient MLOps System for Data-Centric AI
The success of today's AI applications requires not only model training ...
research
∙
01/29/2022
Progressive Continual Learning for Spoken Keyword Spotting
Catastrophic forgetting is a thorny challenge when updating keyword spot...
research
∙
06/06/2021
ModelCI-e: Enabling Continual Learning in Deep Learning Serving Systems
MLOps is about taking experimental ML models to production, i.e., servin...
research
∙
02/05/2021
A Serverless Cloud-Fog Platform for DNN-Based Video Analytics with Incremental Learning
DNN-based video analytics have empowered many new applications (e.g., au...
research
∙
11/04/2020
InferBench: Understanding Deep Learning Inference Serving with an Automatic Benchmarking System
Deep learning (DL) models have become core modules for many applications...
research
∙
06/09/2020