Author of the publication

copy delete add this publication to your clipboard
community post
history of this post
URL
DOI
BibTeX
EndNote
APA
Chicago
DIN 1505
Harvard
MSOffice XML

Proxy Model Explanations for Time Series RNNs.

Z. Wood-Doughty, I. Cachola, and M. Dredze. ICMLA, page 698-703. IEEE, (2021)

Please choose a person to relate this publication to

To differ between persons with the same name, the academic degree and the title of an important publication will be displayed. You can also use the button next to the name to display some publications already assigned to the person.

Darrell Doughty

Gerald Wood

Timothy Wood

Dean Wood

Ian Wood

Other publications of authors with the same name

Using Noisy Self-Reports to Predict Twitter User Demographics.Z. Wood-Doughty, P. Xu, X. Liu, and M. Dredze. SocialNLP@NAACL, page 123-137. Association for Computational Linguistics, (2021)How Does Twitter User Behavior Vary Across Demographic Groups?Z. Wood-Doughty, M. Smith, D. Broniatowski, and M. Dredze. NLP+CSS@ACL, page 83-89. Association for Computational Linguistics, (2017)Proxy Model Explanations for Time Series RNNs.Z. Wood-Doughty, I. Cachola, and M. Dredze. ICMLA, page 698-703. IEEE, (2021)Model Distillation for Faithful Explanations of Medical Code Predictions.Z. Wood-Doughty, I. Cachola, and M. Dredze. BioNLP@ACL, page 412-425. Association for Computational Linguistics, (2022)Causal Inference in Natural Language Processing: Estimation, Prediction, Interpretation and Beyond.A. Feder, K. Keith, E. Manzoor, R. Pryzant, D. Sridhar, Z. Wood-Doughty, J. Eisenstein, J. Grimmer, R. Reichart, M. Roberts and 3 other author(s). Trans. Assoc. Comput. Linguistics, (2022)Convolutions Are All You Need (For Classifying Character Sequences).Z. Wood-Doughty, N. Andrews, and M. Dredze. NUT@EMNLP, page 208-213. Association for Computational Linguistics, (2018)Johns Hopkins or johnny-hopkins: Classifying Individuals versus Organizations on Twitter.Z. Wood-Doughty, P. Mahajan, and M. Dredze. PEOPLES@NAACL-HTL, page 56-61. Association for Computational Linguistics, (2018)Causal Inference in Natural Language Processing: Estimation, Prediction, Interpretation and Beyond.A. Feder, K. Keith, E. Manzoor, R. Pryzant, D. Sridhar, Z. Wood-Doughty, J. Eisenstein, J. Grimmer, R. Reichart, M. Roberts and 3 other author(s). CoRR, (2021)Challenges of Using Text Classifiers for Causal Inference.Z. Wood-Doughty, I. Shpitser, and M. Dredze. EMNLP, page 4586-4598. Association for Computational Linguistics, (2018)Predicting Twitter User Demographics from Names Alone.Z. Wood-Doughty, N. Andrews, R. Marvin, and M. Dredze. PEOPLES@NAACL-HTL, page 105-111. Association for Computational Linguistics, (2018)

BibSonomy

Disambiguation of "Wood-Doughty, Zach"

copy delete add this publication to your clipboard
community post
history of this post
URL
DOI
BibTeX
EndNote
APA
Chicago
DIN 1505
Harvard
MSOffice XML

Proxy Model Explanations for Time Series RNNs.

Please choose a person to relate this publication to

Darrell Doughty

Gerald Wood

Timothy Wood

Dean Wood

Ian Wood

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Wood-Doughty, Zach"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Proxy Model Explanations for Time Series RNNs.

Please choose a person to relate this publication to

Darrell Doughty

Gerald Wood

Timothy Wood

Dean Wood

Ian Wood

Other publications of authors with the same name

Disambiguation

copy delete add this publication to your clipboard
community post
history of this post
URL
DOI
BibTeX
EndNote
APA
Chicago
DIN 1505
Harvard
MSOffice XML

Proxy Model Explanations for Time Series RNNs.