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Found 2 papers, 2 papers with code
Masked Diffusion as Self-supervised Representation Learner
Denoising diffusion probabilistic models have recently demonstrated state-of-the-art generative performance and have been used as strong pixel-level representation learners.
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Medical Image Segmentation
on MoNuSeg
Discovering Intrinsic Reward with Contrastive Random Walk
The aim of this paper is to demonstrate the efficacy of using Contrastive Random Walk as a curiosity method to achieve faster convergence to the optimal policy. Contrastive Random Walk defines the transition matrix of a random walk with the help of neural networks.
