专题:Machine Learning and Algorithms

This cluster of papers revolves around the topic of active learning in machine learning research. It covers various aspects such as semi-supervised learning, deep learning, Gaussian processes, image classification, text categorization, batch mode active learning, statistical guarantees, and human-in-the-loop approaches.
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近5年高被引文献
Learning From Noisy Labels With Deep Neural Networks: A Survey

article Full Text OpenAlex 1197 FWCI108.8779

Emergent Abilities of Large Language Models

preprint Full Text OpenAlex 1043 FWCI0

Mamba: Linear-Time Sequence Modeling with Selective State Spaces

preprint Full Text OpenAlex 1041 FWCI0

Human-in-the-loop machine learning: a state of the art

article Full Text OpenAlex 932 FWCI76.9914

Training Compute-Optimal Large Language Models

preprint Full Text OpenAlex 668 FWCI0

DETRs with Collaborative Hybrid Assignments Training

conference-paper Full Text OpenAlex 532 FWCI111.6128

Curriculum Learning: A Survey

article Full Text OpenAlex 404 FWCI37.2202

The Embedding Hypothesis: From Fourier Circuits to No-Q Attention

preprint Full Text OpenAlex 329 FWCI0

Unleashing the potential of prompt engineering for large language models

article Full Text OpenAlex 301 FWCI336.8302

Algorithmic Learning in a Random World

book Full Text OpenAlex 284 FWCI73.836