A Bayesian decoder was employed to calculate the posterior probabilities of all position bins. This method assumes that transient counts follow a Poisson distribution and combines transient counts and ...

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The release of AlexNet in source code form has interesting timing. It arrives just as the AI field and the entire world economy are enthralled with another open-source model, DeepSeek AI's R1.

Contrastive learning tasks have received considerable attention within the SSL methods. Contrastive learning tasks aim to learn a latent space in which embeddings of similar data samples are pulled ...

Researchers from the University of California, Berkeley, introduced Latent Codes as Bridges (LCB), a robust policy architecture for control. LCB combines the strengths of modular hierarchical ...

Second, the latent semantics in the shallow-layer and deep-layer features are explored and aligned in the contrastive learning, and thus the fine-grained characteristics of expressions can be taken ...

In this paper, we propose a disentangled contrastive learning method for recommendation, which explores latent factors underlying implicit intents for interactions. In particular, a graph structure ...