Daniel Pressel

Computationally Efficient NER Taggers with Combined Embeddings and Constrained Decoding pdf

Brian Lester, Daniel Pressel, Amy Hemmeter, 2020, ArXiv.

Deep Neural Networks for Corrupted Labels

Daniel Pressel, Matthew Nokleby, Harpreet Singh, 2019, Deep Learning: Concepts and Architectures.

Constrained Decoding for Computationally Efficient Named Entity Recognition Taggers pdf

Srinivas Bangalore, Brian Lester, Daniel Pressel, 2020, FINDINGS.

Multiple Word Embeddings for Increased Diversity of Representation pdf

Srinivas Bangalore, Brian Lester, Daniel Pressel, 2020, ArXiv.

An Effective Label Noise Model for DNN Text Classification

Daniel Pressel, Matthew S. Nokleby, Brian Lester, 2019, NAACL.

A Nonlinear, Noise-aware, Quasi-clustering Approach to Learning Deep CNNs from Noisy Labels

Daniel Pressel, Matthew Nokleby, Ishan Jindal, 2019, CVPR Workshops.