Field dossier · from the corpus
Training set
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Where this field is predicted to collide
No open collisions on this field in the current run.
Most cited work
HISTORIAE, History of Socio-Cultural Transformation as Linguistic Data Science. A Humanities Use Case
Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift
A Comprehensive Survey on Graph Neural Networks
Exploring the Limits of Transfer Learning with a Unified Text-to-Text\n Transformer
Federated Learning: Challenges, Methods, and Future Directions
Training language models to follow instructions with human feedback
Recent work · 2024 onward
Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift
OpenFedLLM: Training Large Language Models on Decentralized Private Data via Federated Learning
Why Physics Still Matters: Improving Machine Learning Prediction of Material Properties With Phonon‐Informed Datasets
Density-aware active learning for materials discovery: a case study on functionalized nanoporous materials