Do Current Multi-Task Optimization Methods in Deep Learning Even Help?

von Xin, Derrick
Veröffentlicht in NeurIPS (36. : 2022 : New Orleans, La.; Online) 36th Conference on Neural Information Processing Systems (NeurIPS 2022 ; Volume 18 of 50 (2023)

XTREME: A MASSIVELY MULTILINGUAL MULTI-TASK BENCHMARKFOR EVALUATING CROSS-LINGUAL GENERALIZATION

von Hu, Junjie
Veröffentlicht in International Conference on Machine Learning (37. : 2020 : Online) 37th International Conference on Machine Learning (ICML 2020) ; Part 6 of 15 (2021)

Examining Scaling and Transfer of Language Model Architectures for Machine Translation

von Zhang, Biao
Veröffentlicht in International Conference on Machine Learning (39. : 2022 : Baltimore, Md.; Online) International Conference on Machine Learning (ICML 2022) ; Part 32 of 33 (2023)

GPIPE: EFFICIENT TRAINING OF GIANT NEURAL NETWORKS USING PIPELINE PARALLELISM

von Huang, Yanping
Veröffentlicht in NeurIPS (33. : 2019 : Vancouver, British Columbia) 32nd Conference on Neural Information Processing Systems (NeurIPS 2019) ; Volume 1 of 20 (2020)

GLaM: Efficient Scaling of Language Models with Mixture-Of-Experts

von Du, Nan
Veröffentlicht in International Conference on Machine Learning (39. : 2022 : Baltimore, Md.; Online) International Conference on Machine Learning (ICML 2022) ; Part 7 of 33 (2023)