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Alexander M. Rush
Parameter-Efficient Transfer Learning with Diff Pruning

Dec 14, 2020
Demi Guo, Alexander M. Rush, Yoon Kim


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Learning from others' mistakes: Avoiding dataset biases without modeling them

Dec 02, 2020
Victor Sanh, Thomas Wolf, Yonatan Belinkov, Alexander M. Rush

* 15 pages, 6 figures, 6 tables 
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EdgeBERT: Optimizing On-Chip Inference for Multi-Task NLP

Dec 01, 2020
Thierry Tambe, Coleman Hooper, Lillian Pentecost, En-Yu Yang, Marco Donato, Victor Sanh, Alexander M. Rush, David Brooks, Gu-Yeon Wei

* 11 pages plus references 
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Latent Template Induction with Gumbel-CRFs

Nov 29, 2020
Yao Fu, Chuanqi Tan, Bin Bi, Mosha Chen, Yansong Feng, Alexander M. Rush

* NeurIPS 2020 camera ready 
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Sequence-Level Mixed Sample Data Augmentation

Nov 18, 2020
Demi Guo, Yoon Kim, Alexander M. Rush

* EMNLP 2020 
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Adversarial Semantic Collisions

Nov 09, 2020
Congzheng Song, Alexander M. Rush, Vitaly Shmatikov


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Scaling Hidden Markov Language Models

Nov 09, 2020
Justin T. Chiu, Alexander M. Rush

* EMNLP 2020 
 * 9 pages, accepted as a short paper at EMNLP 2020 
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Pre-trained Summarization Distillation

Oct 28, 2020
Sam Shleifer, Alexander M. Rush


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Cascaded Text Generation with Markov Transformers

Jun 01, 2020
Yuntian Deng, Alexander M. Rush


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What is Learned in Visually Grounded Neural Syntax Acquisition

May 18, 2020
Noriyuki Kojima, Hadar Averbuch-Elor, Alexander M. Rush, Yoav Artzi

* In ACL 2020 
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Movement Pruning: Adaptive Sparsity by Fine-Tuning

May 15, 2020
Victor Sanh, Thomas Wolf, Alexander M. Rush

* 12 pages, 6 figures, 3 tables 
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Posterior Control of Blackbox Generation

May 10, 2020
Xiang Lisa Li, Alexander M. Rush

* Accepted for publication at ACL 2020 
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Automating Botnet Detection with Graph Neural Networks

Mar 13, 2020
Jiawei Zhou, Zhiying Xu, Alexander M. Rush, Minlan Yu

* AutoML for Networking and Systems Workshop of MLSys 2020 Conference 
 * Data and code available https://github.com/harvardnlp/botnet-detection . Accepted as a workshop paper in MLSys 2020 Conference 
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Torch-Struct: Deep Structured Prediction Library

Feb 03, 2020
Alexander M. Rush


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A Hierarchy of Graph Neural Networks Based on Learnable Local Features

Nov 13, 2019
Michael Lingzhi Li, Meng Dong, Jiawei Zhou, Alexander M. Rush


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Encoder-Agnostic Adaptation for Conditional Language Generation

Sep 11, 2019
Zachary M. Ziegler, Luke Melas-Kyriazi, Sebastian Gehrmann, Alexander M. Rush


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Neural Linguistic Steganography

Sep 03, 2019
Zachary M. Ziegler, Yuntian Deng, Alexander M. Rush

* EMNLP 2019 Accepted 
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Commonsense Knowledge Mining from Pretrained Models

Sep 02, 2019
Joshua Feldman, Joe Davison, Alexander M. Rush


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Compound Probabilistic Context-Free Grammars for Grammar Induction

Aug 18, 2019
Yoon Kim, Chris Dyer, Alexander M. Rush

* ACL 2019 
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Simple Unsupervised Summarization by Contextual Matching

Jul 31, 2019
Jiawei Zhou, Alexander M. Rush

* Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics, 2019 
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Visual Interaction with Deep Learning Models through Collaborative Semantic Inference

Jul 24, 2019
Sebastian Gehrmann, Hendrik Strobelt, Robert Krüger, Hanspeter Pfister, Alexander M. Rush

* IEEE VIS 2019 (VAST) 
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On Adversarial Removal of Hypothesis-only Bias in Natural Language Inference

Jul 09, 2019
Yonatan Belinkov, Adam Poliak, Stuart M. Shieber, Benjamin Van Durme, Alexander M. Rush

* StarSem 2019 - The Eighth Joint Conference on Lexical and Computational Semantics 
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Don't Take the Premise for Granted: Mitigating Artifacts in Natural Language Inference

Jul 09, 2019
Yonatan Belinkov, Adam Poliak, Stuart M. Shieber, Benjamin Van Durme, Alexander M. Rush

* ACL 2019 
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