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ORCIDChristopher DuBois
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- affiliation: Apple Inc.
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2020 – today
- 2022
[c15]Rajiv Movva, Jinhao Lei, Shayne Longpre, Ajay Gupta, Chris DuBois:
Combining Compressions for Multiplicative Size Scaling on Natural Language Tasks. COLING 2022: 2861-2872- [i9]Shayne Longpre, Julia Reisler, Edward Greg Huang, Yi Lu, Andrew J. Frank, Nikhil Ramesh, Chris DuBois:
Active Learning Over Multiple Domains in Natural Language Tasks. CoRR abs/2202.00254 (2022) - [i8]Rajiv Movva, Jinhao Lei, Shayne Longpre, Ajay Gupta, Chris DuBois:
Combining Compressions for Multiplicative Size Scaling on Natural Language Tasks. CoRR abs/2208.09684 (2022) - 2021
- [c14]Shayne Longpre, Kartik Perisetla, Anthony Chen, Nikhil Ramesh, Chris DuBois, Sameer Singh:
Entity-Based Knowledge Conflicts in Question Answering. EMNLP (1) 2021: 7052-7063 - [c13]Shayne Longpre, Yi Lu, Chris DuBois:
On the Transferability of Minimal Prediction Preserving Inputs in Question Answering. NAACL-HLT 2021: 1288-1300 - [i7]Shayne Longpre, Kartik Perisetla, Anthony Chen, Nikhil Ramesh, Chris DuBois, Sameer Singh:
Entity-Based Knowledge Conflicts in Question Answering. CoRR abs/2109.05052 (2021) - 2020
- [c12]Tongshuang Wu, Kanit Wongsuphasawat, Donghao Ren, Kayur Patel, Chris DuBois:
Tempura: Query Analysis with Structural Templates. CHI 2020: 1-12 - [c11]Shayne Longpre, Yu Wang, Chris DuBois:
How Effective is Task-Agnostic Data Augmentation for Pretrained Transformers? EMNLP (Findings) 2020: 4401-4411 - [i6]Shayne Longpre, Yi Lu, Christopher DuBois:
On the Transferability of Minimal Prediction Preserving Inputs in Question Answering. CoRR abs/2009.08070 (2020) - [i5]Shayne Longpre, Yu Wang, Christopher DuBois:
How Effective is Task-Agnostic Data Augmentation for Pretrained Transformers? CoRR abs/2010.01764 (2020) - [i4]Ivan Montero, Shayne Longpre, Ni Lao, Andrew J. Frank, Christopher DuBois:
Pivot Through English: Reliably Answering Multilingual Questions without Document Retrieval. CoRR abs/2012.14094 (2020)
2010 – 2019
- 2019
- [c10]Shayne Longpre, Yi Lu, Zhucheng Tu, Chris DuBois:
An Exploration of Data Augmentation and Sampling Techniques for Domain-Agnostic Question Answering. MRQA@EMNLP 2019: 220-227 - [i3]Shayne Longpre, Yi Lu, Zhucheng Tu, Chris DuBois:
An Exploration of Data Augmentation and Sampling Techniques for Domain-Agnostic Question Answering. CoRR abs/1912.02145 (2019) - 2017
- [j3]Annarita Lazzari, Jean-Michel Pou, Christopher DuBois, Laurent Leblond:
Smart metrology: the importance of metrology of decisions in the big data era. IEEE Instrum. Meas. Mag. 20(6): 22-29 (2017) - 2016
- [j2]Christopher DuBois, Laurent Leblond, Jean-Michel Pou, Alessandro Ferrero
:
Covariance evaluation by means of uncertainty assessment. IEEE Instrum. Meas. Mag. 19(6): 12-18 (2016) - [c9]Yao Wu, Christopher DuBois, Alice X. Zheng, Martin Ester:
Collaborative Denoising Auto-Encoders for Top-N Recommender Systems. WSDM 2016: 153-162 - 2014
- [c8]Christopher DuBois, Anoop Korattikara Balan, Max Welling, Padhraic Smyth:
Approximate Slice Sampling for Bayesian Posterior Inference. AISTATS 2014: 185-193 - 2013
- [j1]Nicholas Navaroli, Christopher DuBois, Padhraic Smyth:
Modeling individual email patterns over time with latent variable models. Mach. Learn. 92(2-3): 431-455 (2013) - [c7]Christopher DuBois, Carter T. Butts, Padhraic Smyth:
Stochastic blockmodeling of relational event dynamics. AISTATS 2013: 238-246 - [c6]James R. Foulds, Levi Boyles, Christopher DuBois, Padhraic Smyth, Max Welling:
Stochastic collapsed variational Bayesian inference for latent Dirichlet allocation. KDD 2013: 446-454 - [c5]Michael J. Bannister, Christopher DuBois, David Eppstein, Padhraic Smyth:
Windows into Relational Events: Data Structures for Contiguous Subsequences of Edges. SODA 2013: 856-864 - [i2]James R. Foulds, Levi Boyles, Christopher DuBois, Padhraic Smyth, Max Welling:
Stochastic Collapsed Variational Bayesian Inference for Latent Dirichlet Allocation. CoRR abs/1305.2452 (2013) - 2012
- [c4]Nicholas Navaroli, Christopher DuBois, Padhraic Smyth:
Statistical Models for Exploring Individual Email Communication Behavior. ACML 2012: 317-332 - [i1]Michael J. Bannister, Christopher DuBois, David Eppstein, Padhraic Smyth:
Windows into Relational Events: Data Structures for Contiguous Subsequences of Edges. CoRR abs/1209.5791 (2012) - 2011
- [c3]Christopher DuBois, James R. Foulds, Padhraic Smyth:
Latent Set Models for Two-Mode Network Data. ICWSM 2011 - [c2]James R. Foulds, Christopher DuBois, Arthur U. Asuncion, Carter T. Butts, Padhraic Smyth:
A Dynamic Relational Infinite Feature Model for Longitudinal Social Networks. AISTATS 2011: 287-295 - 2010
- [c1]Christopher DuBois, Padhraic Smyth:
Modeling relational events via latent classes. KDD 2010: 803-812
Coauthor Index
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