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Found 4 papers, 2 papers with code
Voucher Abuse Detection with Prompt-based Fine-tuning on Graph Neural Networks
We design a novel graph prompting function to reformulate the downstream task into a similar template as the pretext task in pre-training, thereby narrowing the objective gap.
Balanced Distribution Adaptation for Transfer Learning
To tackle the distribution adaptation problem, in this paper, we propose a novel transfer learning approach, named as Balanced Distribution \underline{A}daptation~(BDA), which can adaptively leverage the importance of the marginal and conditional distribution discrepancies, and several existing methods can be treated as special cases of BDA.
An Optimal Control Approach to Deep Learning and Applications to Discrete-Weight Neural Networks
Deep learning is formulated as a discrete-time optimal control problem.
Deep Learning for Sensor-based Activity Recognition: A Survey
This paper surveys the recent advance of deep learning based sensor-based activity recognition.
