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Found 13 papers, 7 papers with code
PRIOR: Personalized Prior for Reactivating the Information Overlooked in Federated Learning
Personalized FL (PFL) addresses this by synthesizing personalized models from a global model via training on local data.
DataCI: A Platform for Data-Centric AI on Streaming Data
We introduce DataCI, a comprehensive open-source platform designed specifically for data-centric AI in dynamic streaming data settings.
MIGPerf: A Comprehensive Benchmark for Deep Learning Training and Inference Workloads on Multi-Instance GPUs
The vision of this paper is to provide a more comprehensive and practical benchmark study for MIG in order to eliminate the need for tedious manual benchmarking and tuning efforts.
Spatial-Temporal Federated Learning for Lifelong Person Re-identification on Distributed Edges
Then, the learnt knowledge from edge clients will be aggregated by centralized parameter server, where the knowledge will be selectively and attentively distilled from spatial- and temporal-dimension with carefully designed mechanisms.
Active-Learning-as-a-Service: An Automatic and Efficient MLOps System for Data-Centric AI
In data-centric AI, active learning (AL) plays a vital role, but current AL tools 1) require users to manually select AL strategies, and 2) can not perform AL tasks efficiently.
ModelCI-e: Enabling Continual Learning in Deep Learning Serving Systems
MLOps is about taking experimental ML models to production, i. e., serving the models to actual users.
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.
A Serverless Cloud-Fog Platform for DNN-Based Video Analytics with Incremental Learning
To save bandwidth and reduce RTT, VPaaS provides a new video streaming protocol that only sends low-quality video to the cloud.
InferBench: Understanding Deep Learning Inference Serving with an Automatic Benchmarking System
Our system design follows the best practice in DL clusters operations to expedite day-to-day DL service evaluation efforts by the developers.
Hysia: Serving DNN-Based Video-to-Retail Applications in Cloud
Combining \underline{v}ideo streaming and online \underline{r}etailing (V2R) has been a growing trend recently.
MLModelCI: An Automatic Cloud Platform for Efficient MLaaS
MLModelCI provides multimedia researchers and developers with a one-stop platform for efficient machine learning (ML) services.
Look, Read and Feel: Benchmarking Ads Understanding with Multimodal Multitask Learning
A multitask loss function is also designed to train both the topic and sentiment prediction models jointly in an end-to-end manner.
ResumeNet: A Learning-based Framework for Automatic Resume Quality Assessment
We compare the different variants with our baseline model.
