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09/06/2023
Image Aesthetics Assessment via Learnable Queries
Image aesthetics assessment (IAA) aims to estimate the aesthetics of ima...
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09/01/2023
Efficient RLHF: Reducing the Memory Usage of PPO
Reinforcement Learning with Human Feedback (RLHF) has revolutionized lan...
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08/29/2023
FedLogic: Interpretable Federated Multi-Domain Chain-of-Thought Prompt Selection for Large Language Models
Leveraging “chain-of-thought (CoT)” reasoning to elicit rapid and precis...
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03/16/2023
Towards the Understanding of Receptivity and Affect in EMAs using Physiological based Machine Learning Method: Analysis of Receptivity and Affect
As mobile health (mHealth) studies become increasingly productive due to...
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01/06/2023
Evolutionary Carrier Selection for Shared Truck Delivery Services
With multiple carriers in a logistics market, customers can choose the b...
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11/07/2022
FIXED: Frustratingly Easy Domain Generalization with Mixup
Domain generalization (DG) aims to learn a generalizable model from mult...
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02/15/2022
Federated Graph Neural Networks: Overview, Techniques and Challenges
With its powerful capability to deal with graph data widely found in pra...
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12/15/2021
Automatic Product Copywriting for E-Commerce
Product copywriting is a critical component of e-commerce recommendation...
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08/31/2021
Towards Out-Of-Distribution Generalization: A Survey
Classic machine learning methods are built on the i.i.d. assumption that...
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08/15/2020
A VCG-based Fair Incentive Mechanism for Federated Learning
Federated learning (FL) has shown great potential for addressing the cha...
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01/17/2020
FedVision: An Online Visual Object Detection Platform Powered by Federated Learning
Visual object detection is a computer vision-based artificial intelligen...
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12/10/2019
Advances and Open Problems in Federated Learning
Federated learning (FL) is a machine learning setting where many clients...
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06/04/2019
