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Transformer (machine learning model)

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Transformer (machine learning model)

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Fundamental Limits in Statistical Learning Problems: Block Models and Neural Networks

MULTI-TASK CURRICULUM LEARNING FOR PARTIALLY LABELED DATA

Machine-Learning-Enhanced Procedural Modeling for 4D Historical Cities Reconstruction

Robust Outlier Rejection for 3D Registration with Variational Bayes

Hardware-Software Co-design for Improved Resource Utilization in DNN Accelerators

DISCO: Distilling Counterfactuals with Large Language Models

Ageing-aware battery discharge prediction with deep learning

Fixing the problems of deep neural networks will require better training data and learning algorithms

Robust Training and Verification of Deep Neural Networks

The statistical complexity of early-stopped mirror descent