December 16, 2021
A Scalable Approach for Partially Local Federated LearningDecember 15, 2021
Training Machine Learning Models More Efficiently with Dataset DistillationDecember 13, 2021
Interpretable Deep Learning for Time Series ForecastingDecember 10, 2021
A Fast WordPiece Tokenization SystemDecember 9, 2021
More Efficient In-Context Learning with GLaMDecember 8, 2021
General and Scalable Parallelization for Neural NetworksDecember 7, 2021
Improving Vision Transformer Efficiency and Accuracy by Learning to TokenizeDecember 6, 2021
Google at NeurIPS 2021December 2, 2021
Evaluating Syntactic Abilities of Language ModelsDecember 1, 2021
RLDS: An Ecosystem to Generate, Share, and Use Datasets in Reinforcement LearningNovember 30, 2021
MURAL: Multimodal, Multi-task Retrieval Across LanguagesNovember 22, 2021
Predicting Text Selections with Federated Learning