Checkpointing is a special task in the modern deep learning training process as it poses a hard tradeoff between training efficiency and reliability. Frequent checkpoints of model states can enhance ...

This program ensures users can migrate AI workloads between Kubernetes distributions. Kubernetes will finally support rollbacks for returning to a working cluster if something goes wrong. Several ...

When converting a PyTorch model that uses torch.utils.checkpoint.checkpoint to TVM Relax module via torch.export, a KeyError occurs during the conversion process. The ...

According to Jeff Dean, a new AI approach from Google Research utilizes nested optimization techniques to significantly advance continual learning, particularly for ...

Soumith Chintala, who co-created Meta Platforms’ open-source machine learning library PyTorch, is leaving the company, according to three people with direct knowledge of the matter. He joined Facebook ...

Despite ongoing speculation around an investment bubble that may be set to burst, artificial intelligence (AI) technology is here to stay. And while an over-inflated market may exist at the level of ...

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Abstract: Multimodal emotion recognition is a task that integrates textual, visual, and audio data to holistically infer an individual’s emotional state. Existing research predominantly focuses on ...

The PyTorch team at Meta, stewards of the PyTorch open source machine learning framework, has unveiled Monarch, a distributed programming framework intended to bring the simplicity of PyTorch to ...