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2020 – today
- 2024
[i12]J. D. Zamfirescu-Pereira, Laryn Qi, Björn Hartmann, John DeNero, Narges Norouzi:
61A-Bot: AI homework assistance in CS1 is fast and cheap - but is it helpful? CoRR abs/2406.05600 (2024)- [i11]Laryn Qi, J. D. Zamfirescu-Pereira, Taehan Kim, Björn Hartmann, John DeNero, Narges Norouzi:
A Knowledge-Component-Based Methodology for Evaluating AI Assistants. CoRR abs/2406.05603 (2024) - [i10]Yoonseok Yang, Jack Liu, J. D. Zamfirescu-Pereira, John DeNero:
Pensieve Discuss: Scalable Small-Group CS Tutoring System with AI. CoRR abs/2407.17007 (2024) - 2022
- [c52]Geza Kovacs, John DeNero:
Measuring the Effects of Human and Machine Translation on Website Engagement. AMTA 2022: 298-308 - [c51]Samee Ibraheem, Gaoyue Zhou, John DeNero:
Putting the Con in Context: Identifying Deceptive Actors in the Game of Mafia. NAACL-HLT 2022: 158-168 - [c50]Jessy Lin, Geza Kovacs, Aditya Shastry, Joern Wuebker, John DeNero:
Automatic Correction of Human Translations. NAACL-HLT 2022: 494-507 - [c49]Eric Van Dusen, John DeNero, Kseniya Usovich:
Innovation in Data Science Education. SIGCSE (2) 2022: 1202 - [i9]Jessy Lin, Geza Kovacs, Aditya Shastry, Joern Wuebker, John DeNero:
Automatic Correction of Human Translations. CoRR abs/2206.08593 (2022) - [i8]Samee Ibraheem, Gaoyue Zhou, John DeNero:
Putting the Con in Context: Identifying Deceptive Actors in the Game of Mafia. CoRR abs/2207.02253 (2022) - 2021
- [j1]Nicholas Altieri, Briton Park
, Mara Olson, John DeNero, Anobel Y. Odisho, Bin Yu:
Supervised line attention for tumor attribute classification from pathology reports: Higher performance with less data. J. Biomed. Informatics 122: 103872 (2021) - [c48]Thomas Zenkel, Joern Wuebker, John DeNero:
Automatic Bilingual Markup Transfer. EMNLP (Findings) 2021: 3524-3533 - [i7]Ani Adhikari, John DeNero, Michael I. Jordan:
Interleaving Computational and Inferential Thinking: Data Science for Undergraduates at Berkeley. CoRR abs/2102.09391 (2021) - 2020
- [c47]Thomas Zenkel, Joern Wuebker, John DeNero:
End-to-End Neural Word Alignment Outperforms GIZA++. ACL 2020: 1605-1617 - [c46]Samee Ibraheem, Vael Gates, John DeNero, Tom Griffiths:
Investigating the Behavior of Malicious Actors Through the Game of Mafia. CogSci 2020 - [c45]Kevin Yang, Violet Yao, John DeNero, Dan Klein:
A Streaming Approach For Efficient Batched Beam Search. EMNLP (1) 2020: 4526-4535 - [c44]Nick Parlante, Julie Zelenski, John DeNero, Christopher Allsman, Tiffany Perumpail, Rahul Arya, Kavi Gupta, Catherine Cang, Paul Bitutsky, Ryan Moughan, David J. Malan, Brian Yu, Evan M. Peck, Carl Albing, Kevin Wayne, Keith Schwarz:
Nifty Assignments. SIGCSE 2020: 1270-1271 - [i6]Thomas Zenkel, Joern Wuebker, John DeNero:
End-to-End Neural Word Alignment Outperforms GIZA++. CoRR abs/2004.14675 (2020) - [i5]Kevin Yang, Violet Yao, John DeNero, Dan Klein:
A Streaming Approach For Efficient Batched Beam Search. CoRR abs/2010.02164 (2020) - [i4]Nick Altieri, Briton Park, Mara Olson, John DeNero, Anobel Y. Odisho, Bin Yu:
Enriched Annotations for Tumor Attribute Classification from Pathology Reports with Limited Labeled Data. CoRR abs/2012.08113 (2020)
2010 – 2019
- 2019
- [c43]John D. Co-Reyes, Abhishek Gupta, Suvansh Sanjeev, Nick Altieri, Jacob Andreas, John DeNero, Pieter Abbeel, Sergey Levine:
Guiding Policies with Language via Meta-Learning. ICLR (Poster) 2019 - [c42]Patrick Simianer, Joern Wuebker, John DeNero:
Measuring Immediate Adaptation Performance for Neural Machine Translation. NAACL-HLT (1) 2019: 2038-2046 - [i3]Thomas Zenkel, Joern Wuebker, John DeNero:
Adding Interpretable Attention to Neural Translation Models Improves Word Alignment. CoRR abs/1901.11359 (2019) - 2018
- [c41]Joern Wuebker, Patrick Simianer, John DeNero:
Compact Personalized Models for Neural Machine Translation. EMNLP 2018: 881-886 - [i2]Joern Wuebker, Patrick Simianer, John DeNero:
Compact Personalized Models for Neural Machine Translation. CoRR abs/1811.01990 (2018) - [i1]John D. Co-Reyes, Abhishek Gupta, Suvansh Sanjeev, Nick Altieri, John DeNero, Pieter Abbeel, Sergey Levine:
Guiding Policies with Language via Meta-Learning. CoRR abs/1811.07882 (2018) - 2017
- [c40]Samee Ibraheem, Nicholas Altieri, John DeNero:
Learning an Interactive Attention Policy for Neural Machine Translation. MTSummit (1) 2017: 108-115 - [c39]John DeNero, Sumukh Sridhara, Manuel A. Pérez-Quiñones, Aatish Nayak, Ben Leong:
Beyond Autograding: Advances in Student Feedback Platforms. SIGCSE 2017: 651-652 - 2016
- [c38]Joern Wuebker, Spence Green, John DeNero, Sasa Hasan, Minh-Thang Luong:
Models and Inference for Prefix-Constrained Machine Translation. ACL (1) 2016 - [c37]Aneiss Ghodsi, John DeNero:
An Analysis of the Ability of Statistical Language Models to Capture the Structural Properties of Language. INLG 2016: 227-231 - [c36]Kristin Stephens-Martinez, An Ju, Colin Schoen, John DeNero, Armando Fox:
Identifying Student Misunderstandings using Constructed Responses. L@S 2016: 153-156 - [c35]Sumukh Sridhara, Brian Hou, Jeffrey Lu, John DeNero:
Fuzz Testing Projects in Massive Courses. L@S 2016: 361-367 - [c34]Daniel D. Garcia, Jennifer Campbell, John DeNero, Mary Lou Dorf, Stuart Reges:
CS10K Teachers by 2017?: Try CS1K+ students NOW! Coping with the Largest CS1 Courses in History. SIGCSE 2016: 396-397 - [c33]Nick Parlante, Julie Zelenski, Baker Franke, Arvind Bhusnurmath, Karen Her, Kristen Gee, Eric D. Manley, Timothy Urness, Marvin Zhang, Brian Hou, John DeNero, Josh Hug, Kevin Wayne:
Nifty Assignments. SIGCSE 2016: 588-589 - 2015
- [c32]Joern Wuebker, Spence Green, John DeNero:
Hierarchical Incremental Adaptation for Statistical Machine Translation. EMNLP 2015: 1059-1065 - [c31]Rohan Chitnis, John DeNero:
Variable-Length Word Encodings for Neural Translation Models. EMNLP 2015: 2088-2093 - [c30]Soumya Basu, Albert Wu, Brian Hou, John DeNero:
Problems Before Solutions: Automated Problem Clarification at Scale. L@S 2015: 205-213 - 2014
- [c29]Hui Zhang, John DeNero:
Observational Initialization of Type-Supervised Taggers. ACL (2) 2014: 816-821 - [c28]Yin-Wen Chang, Alexander M. Rush, John DeNero, Michael Collins:
A Constrained Viterbi Relaxation for Bidirectional Word Alignment. ACL (1) 2014: 1481-1490 - [c27]John DeNero, Stephen Martinis:
Teaching composition quality at scale: human judgment in the age of autograders. SIGCSE 2014: 421-426 - [c26]Nick Parlante, Julie Zelenski, Josh Hug, John Nicholson, John DeNero, Antti Laaksonen, Arto Vihavainen, Frank McCown, Kevin Wayne:
Nifty assignments. SIGCSE 2014: 621-622 - 2013
- [c25]Karl Pichotta, John DeNero:
Identifying Phrasal Verbs Using Many Bilingual Corpora. EMNLP 2013: 636-646 - [c24]Greg Durrett, John DeNero:
Supervised Learning of Complete Morphological Paradigms. HLT-NAACL 2013: 1185-1195 - [c23]Nick Parlante, Julie Zelenski, Michelle Craig, John DeNero, Mark Guzdial, David J. Malan, Aditi S. Muralidharan, Eric Roberts, Kevin Wayne:
Nifty assignments. SIGCSE 2013: 539-540 - 2012
- [c22]Dave Golland, John DeNero, Jakob Uszkoreit:
A Feature-Rich Constituent Context Model for Grammar Induction. ACL (2) 2012: 17-22 - [c21]Spence Green, John DeNero:
A Class-Based Agreement Model for Generating Accurately Inflected Translations. ACL (1) 2012: 146-155 - [c20]Mohit Bansal, John DeNero, Dekang Lin:
Unsupervised Translation Sense Clustering. HLT-NAACL 2012: 773-782 - 2011
- [c19]John DeNero, Klaus Macherey:
Model-Based Aligner Combination Using Dual Decomposition. ACL 2011: 420-429 - [c18]John DeNero, Jakob Uszkoreit:
Inducing Sentence Structure from Parallel Corpora for Reordering. EMNLP 2011: 193-203 - [c17]Robert Moore, John DeNero:
L1 and L2 regularization for multiclass hinge loss models. MLSLP 2011: 1-5 - 2010
- [b1]John DeNero:
Phrase Alignment Models for Statistical Machine Translation. University of California, Berkeley, USA, 2010 - [c16]John DeNero, Dan Klein:
Discriminative Modeling of Extraction Sets for Machine Translation. ACL 2010: 1453-1463 - [c15]John DeNero, Dan Klein:
Teaching Introductory Artificial Intelligence with Pac-Man. EAAI 2010: 1885-1889 - [c14]Todd W. Neller, John DeNero, Dan Klein, Sven Koenig, William Yeoh, Xiaoming Zheng, Kenny Daniel, Alex Nash, Zachary Dodds, Giuseppe Carenini, David Poole, Christopher Brooks:
Model AI Assignments. EAAI 2010: 1919-1921 - [c13]Taylor Berg-Kirkpatrick, Alexandre Bouchard-Côté, John DeNero, Dan Klein:
Painless Unsupervised Learning with Features. HLT-NAACL 2010: 582-590 - [c12]John DeNero, Shankar Kumar, Ciprian Chelba, Franz Josef Och:
Model Combination for Machine Translation. HLT-NAACL 2010: 975-983
2000 – 2009
- 2009
- [c11]John DeNero, Adam Pauls, Dan Klein:
Asynchronous Binarization for Synchronous Grammars. ACL/IJCNLP (2) 2009: 141-144 - [c10]John DeNero, David Chiang, Kevin Knight:
Fast Consensus Decoding over Translation Forests. ACL/IJCNLP 2009: 567-575 - [c9]Aria Haghighi, John Blitzer, John DeNero, Dan Klein:
Better Word Alignments with Supervised ITG Models. ACL/IJCNLP 2009: 923-931 - [c8]Adam Pauls, John DeNero, Dan Klein:
Consensus Training for Consensus Decoding in Machine Translation. EMNLP 2009: 1418-1427 - [c7]John DeNero, Mohit Bansal, Adam Pauls, Dan Klein:
Efficient Parsing for Transducer Grammars. HLT-NAACL 2009: 227-235 - 2008
- [c6]John DeNero, Dan Klein:
The Complexity of Phrase Alignment Problems. ACL (2) 2008: 25-28 - [c5]John DeNero, Alexandre Bouchard-Côté, Dan Klein:
Sampling Alignment Structure under a Bayesian Translation Model. EMNLP 2008: 314-323 - 2007
- [c4]Aria Haghighi, John DeNero, Dan Klein:
A* Search via Approximate Factoring. AAAI 2007: 1642-1645 - [c3]John DeNero, Dan Klein:
Tailoring Word Alignments to Syntactic Machine Translation. ACL 2007 - [c2]Aria Haghighi, John DeNero, Dan Klein:
Approximate Factoring for A* Search. HLT-NAACL 2007: 412-419 - 2006
- [c1]John DeNero, Dan Gillick, James Zhang, Dan Klein:
Why Generative Phrase Models Underperform Surface Heuristics. WMT@HLT-NAACL 2006: 31-38
Coauthor Index
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last updated on 2024-08-20 22:49 CEST by the dblp team
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