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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...
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08/16/2023
FedPop: Federated Population-based Hyperparameter Tuning
Federated Learning (FL) is a distributed machine learning (ML) paradigm,...
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05/24/2023
Exploring Diverse In-Context Configurations for Image Captioning
After discovering that Language Models (LMs) can be good in-context few-...
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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 ...
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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...
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04/01/2022
Proactively Control Privacy in Recommender Systems
Recently, privacy issues in web services that rely on users' personal da...
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06/18/2020
Interactive Recommender System via Knowledge Graph-enhanced Reinforcement Learning
Interactive recommender system (IRS) has drawn huge attention because of...
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02/12/2020
Towards Precise Intra-camera Supervised Person Re-identification
Intra-camera supervision (ICS) for person re-identification (Re-ID) assu...
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11/14/2018
Large-scale Interactive Recommendation with Tree-structured Policy Gradient
Reinforcement learning (RL) has recently been introduced to interactive ...
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10/29/2018
