Mitchell A. Gordon

According to our database, Mitchell A. Gordon authored at least 4 papers between 2019 and 2021.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of five.

2021

Data and Parameter Scaling Laws for Neural Machine Translation.

Mitchell A. Gordon, Kevin Duh, Jared Kaplan

Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

2020

Compressing BERT: Studying the Effects of Weight Pruning on Transfer Learning.

Mitchell A. Gordon, Kevin Duh, Nicholas Andrews

Proceedings of the 5th Workshop on Representation Learning for NLP, 2020

Distill, Adapt, Distill: Training Small, In-Domain Models for Neural Machine Translation.

Mitchell A. Gordon, Kevin Duh

Proceedings of the Fourth Workshop on Neural Generation and Translation, 2020

2019

Explaining Sequence-Level Knowledge Distillation as Data-Augmentation for Neural Machine Translation.

Mitchell A. Gordon, Kevin Duh

CoRR, 2019