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Found 4 papers, 2 papers with code
Efficient Core-selecting Incentive Mechanism for Data Sharing in Federated Learning
In this paper, we introduce a data sharing game model for federated learning and employ game-theoretic approaches to design a core-selecting incentive mechanism by utilizing a popular concept in cooperative games, the core.
Learning A Sparse Transformer Network for Effective Image Deraining
To overcome this problem, we propose an effective DeRaining network, Sparse Transformer (DRSformer) that can adaptively keep the most useful self-attention values for feature aggregation so that the aggregated features better facilitate high-quality image reconstruction.
Efficient Frequency Domain-based Transformers for High-Quality Image Deblurring
We present an effective and efficient method that explores the properties of Transformers in the frequency domain for high-quality image deblurring.
Ranked #1 on
Image Deblurring
on GoPro
(using extra training data)
Blocked and Hierarchical Disentangled Representation From Information Theory Perspective
It is well known that information theory has an excellent explanatory meaning for the network, so we start to solve the disentanglement problem from the perspective of information theory.
