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Understanding Gradient Descent on Edge of Stability in Deep Learning

Deep learning experiments in Cohen et al. (2021) using deterministic Gra...

Parallel and Distributed Graph Neural Networks: An In-Depth Concurrency Analysis

Graph neural networks (GNNs) are among the most powerful tools in deep l...

Dataset Pruning: Reducing Training Data by Examining Generalization Influence

The great success of deep learning heavily relies on increasingly larger...

Should Models Be Accurate?

Model-based Reinforcement Learning (MBRL) holds promise for data-efficie...

Outliers Dimensions that Disrupt Transformers Are Driven by Frequency

Transformer-based language models are known to display anisotropic behav...