Taylor Berg-Kirkpatrick

According to our database1, Taylor Berg-Kirkpatrick authored at least 61 papers between 2008 and 2019.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Other 

Links

On csauthors.net:

Bibliography

2019
A Deep Factorization of Style and Structure in Fonts.
CoRR, 2019

Simple and Effective Paraphrastic Similarity from Parallel Translations.
CoRR, 2019

Learning Rhyming Constraints using Structured Adversaries.
CoRR, 2019

Beyond BLEU: Training Neural Machine Translation with Semantic Similarity.
CoRR, 2019

A Surprisingly Effective Fix for Deep Latent Variable Modeling of Text.
CoRR, 2019

Cross-Lingual Syntactic Transfer through Unsupervised Adaptation of Invertible Projections.
CoRR, 2019

An Empirical Investigation of Global and Local Normalization for Recurrent Neural Sequence Models Using a Continuous Relaxation to Beam Search.
CoRR, 2019

Lagging Inference Networks and Posterior Collapse in Variational Autoencoders.
CoRR, 2019

An Empirical Investigation of Global and Local Normalization for Recurrent Neural Sequence Models Using a Continuous Relaxation to Beam Search.
Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2019

Lagging Inference Networks and Posterior Collapse in Variational Autoencoders.
Proceedings of the 7th International Conference on Learning Representations, 2019

Simple and Effective Paraphrastic Similarity from Parallel Translations.
Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

Beyond BLEU: Training Neural Machine Translation with Semantic Similarity.
Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

Cross-Lingual Syntactic Transfer through Unsupervised Adaptation of Invertible Projections.
Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

2018
Modeling Online Discourse with Coupled Distributed Topics.
CoRR, 2018

Learning to Describe Differences Between Pairs of Similar Images.
CoRR, 2018

Unsupervised Learning of Syntactic Structure with Invertible Neural Projections.
CoRR, 2018

Speaker-Follower Models for Vision-and-Language Navigation.
CoRR, 2018

Visual Referring Expression Recognition: What Do Systems Actually Learn?
CoRR, 2018

Unsupervised Text Style Transfer using Language Models as Discriminators.
CoRR, 2018

Using Syntax to Ground Referring Expressions in Natural Images.
CoRR, 2018


Unsupervised Text Style Transfer using Language Models as Discriminators.
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Speaker-Follower Models for Vision-and-Language Navigation.
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Visual Referring Expression Recognition: What Do Systems Actually Learn?
Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2018

Modeling Online Discourse with Coupled Distributed Topics.
Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018

Learning to Describe Differences Between Pairs of Similar Images.
Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018

Unsupervised Learning of Syntactic Structure with Invertible Neural Projections.
Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018

Learning to Generate Move-by-Move Commentary for Chess Games from Large-Scale Social Forum Data.
Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics, 2018

SPINE: SParse Interpretable Neural Embeddings.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

A Continuous Relaxation of Beam Search for End-to-End Training of Neural Sequence Models.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

Using Syntax to Ground Referring Expressions in Natural Images.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017
SPINE: SParse Interpretable Neural Embeddings.
CoRR, 2017

Identifying Products in Online Cybercrime Marketplaces: A Dataset for Fine-grained Domain Adaptation.
CoRR, 2017

A Continuous Relaxation of Beam Search for End-to-end Training of Neural Sequence Models.
CoRR, 2017

Improved Variational Autoencoders for Text Modeling using Dilated Convolutions.
CoRR, 2017

Automatic Compositor Attribution in the First Folio of Shakespeare.
CoRR, 2017

Efficient Correlated Topic Modeling with Topic Embedding.
CoRR, 2017

Differentiable Scheduled Sampling for Credit Assignment.
CoRR, 2017

Tools for Automated Analysis of Cybercriminal Markets.
Proceedings of the 26th International Conference on World Wide Web, 2017

Efficient Correlated Topic Modeling with Topic Embedding.
Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Halifax, NS, Canada, August 13, 2017

Improved Variational Autoencoders for Text Modeling using Dilated Convolutions.
Proceedings of the 34th International Conference on Machine Learning, 2017

Identifying Products in Online Cybercrime Marketplaces: A Dataset for Fine-grained Domain Adaptation.
Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing, 2017

Automatic Compositor Attribution in the First Folio of Shakespeare.
Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics, 2017

Differentiable Scheduled Sampling for Credit Assignment.
Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics, 2017

2016
Learning-Based Single-Document Summarization with Compression and Anaphoricity Constraints.
CoRR, 2016

Learning-Based Single-Document Summarization with Compression and Anaphoricity Constraints.
Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics, 2016

2015
Unsupervised Code-Switching for Multilingual Historical Document Transcription.
Proceedings of the NAACL HLT 2015, The 2015 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Denver, Colorado, USA, May 31, 2015

GPU-Friendly Local Regression for Voice Conversion.
Proceedings of the NAACL HLT 2015, The 2015 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Denver, Colorado, USA, May 31, 2015

An Empirical Analysis of Optimization for Max-Margin NLP.
Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing, 2015

2014
Unsupervised Transcription of Piano Music.
Proceedings of the Advances in Neural Information Processing Systems 27: Annual Conference on Neural Information Processing Systems 2014, 2014

Sparser, Better, Faster GPU Parsing.
Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics, 2014

Improved Typesetting Models for Historical OCR.
Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics, 2014

2013
Learning Whom to Trust with MACE.
Proceedings of the Human Language Technologies: Conference of the North American Chapter of the Association of Computational Linguistics, 2013

Decipherment with a Million Random Restarts.
Proceedings of the 2013 Conference on Empirical Methods in Natural Language Processing, 2013

Unsupervised Transcription of Historical Documents.
Proceedings of the 51st Annual Meeting of the Association for Computational Linguistics, 2013

2012
An Empirical Investigation of Statistical Significance in NLP.
Proceedings of the 2012 Joint Conference on Empirical Methods in Natural Language Processing and Computational Natural Language Learning, 2012

2011
Simple Effective Decipherment via Combinatorial Optimization.
Proceedings of the 2011 Conference on Empirical Methods in Natural Language Processing, 2011

Jointly Learning to Extract and Compress.
Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies, 2011

2010
Painless Unsupervised Learning with Features.
Proceedings of the Human Language Technologies: Conference of the North American Chapter of the Association of Computational Linguistics, 2010

Phylogenetic Grammar Induction.
Proceedings of the ACL 2010, 2010

2008
Learning Bilingual Lexicons from Monolingual Corpora.
Proceedings of the ACL 2008, 2008


  Loading...