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 ...

Humans estimate different forms of uncertainty during learning, but do so imprecisely, leading to the misattribution of random fluctuations as fundamental shifts.

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 ...

Convolutional neural networks (CNNs) have achieved significant improvement for the task of facial expression recognition. However, current training still suffers from the inconsistent learning ...

This is the PyTorch implementation by @Re-bin for DCCF model proposed in this paper: Disentangled Contrastive Collaborative Filtering Xubin Ren, Lianghao Xia, Jiashu Zhao, Dawei Yin, Chao Huang* SIGIR ...