research
∙
08/21/2023
FedDAT: An Approach for Foundation Model Finetuning in Multi-Modal Heterogeneous Federated Learning
Recently, foundation models have exhibited remarkable advancements in mu...
share
research
∙
08/16/2023
FedPop: Federated Population-based Hyperparameter Tuning
Federated Learning (FL) is a distributed machine learning (ML) paradigm,...
research
∙
11/19/2022
CL-CrossVQA: A Continual Learning Benchmark for Cross-Domain Visual Question Answering
Visual Question Answering (VQA) is a multi-discipline research task. To ...
research
∙
05/30/2022
FRAug: Tackling Federated Learning with Non-IID Features via Representation Augmentation
Federated Learning (FL) is a decentralized learning paradigm in which mu...
research
∙
07/06/2017
Tensor-Train Recurrent Neural Networks for Video Classification
The Recurrent Neural Networks and their variants have shown promising pe...
research
∙
11/25/2015
Learning with Memory Embeddings
Embedding learning, a.k.a. representation learning, has been shown to be...
research
∙
08/11/2015
Type-Constrained Representation Learning in Knowledge Graphs
Large knowledge graphs increasingly add value to various applications th...
research
∙
11/17/2013