Michael A. Hedderich
3 papers in the PaperMetrix corpus
Papers by this author
-
Learning Functions to Study the Benefit of Multitask Learning
2020 · arXiv (Cornell University)
We study and quantify the generalization patterns of multitask learning (MTL) models for sequence labeling tasks. MTL models are trained to optimize a set of related tasks jointly. Although multitask learning has achieved improved performance …
-
On the Interplay Between Fine-tuning and Sentence-level Probing for Linguistic Knowledge in Pre-trained Transformers
2020
Fine-tuning pre-trained contextualized embedding models has become an integral part of the NLP pipeline. At the same time, probing has emerged as a way to investigate the linguistic knowledge captured by pre-trained models. Very little …
-
Meta Self-Refinement for Robust Learning with Weak Supervision
2022 · arXiv (Cornell University)
Training deep neural networks (DNNs) under weak supervision has attracted increasing research attention as it can significantly reduce the annotation cost. However, labels from weak supervision can be noisy, and the high capacity of DNNs …