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Block Pruning For Faster Transformers


Sep 10, 2021
François Lagunas, Ella Charlaix, Victor Sanh, Alexander M. Rush

* EMNLP 2021. Code, hyper-parameters, evaluation results and checkpoints available at https://github.com/huggingface/nn_pruning 

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Avoiding Inference Heuristics in Few-shot Prompt-based Finetuning


Sep 09, 2021
Prasetya Ajie Utama, Nafise Sadat Moosavi, Victor Sanh, Iryna Gurevych

* Accepted at EMNLP 2021 

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Datasets: A Community Library for Natural Language Processing


Sep 07, 2021
Quentin Lhoest, Albert Villanova del Moral, Yacine Jernite, Abhishek Thakur, Patrick von Platen, Suraj Patil, Julien Chaumond, Mariama Drame, Julien Plu, Lewis Tunstall, Joe Davison, Mario Šaško, Gunjan Chhablani, Bhavitvya Malik, Simon Brandeis, Teven Le Scao, Victor Sanh, Canwen Xu, Nicolas Patry, Angelina McMillan-Major, Philipp Schmid, Sylvain Gugger, Clément Delangue, Théo Matussière, Lysandre Debut, Stas Bekman, Pierric Cistac, Thibault Goehringer, Victor Mustar, François Lagunas, Alexander M. Rush, Thomas Wolf

* EMNLP Demo 2021 

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Low-Complexity Probing via Finding Subnetworks


Apr 08, 2021
Steven Cao, Victor Sanh, Alexander M. Rush

* NAACL-HLT 2021 

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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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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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HuggingFace's Transformers: State-of-the-art Natural Language Processing


Oct 16, 2019
Thomas Wolf, Lysandre Debut, Victor Sanh, Julien Chaumond, Clement Delangue, Anthony Moi, Pierric Cistac, Tim Rault, Rémi Louf, Morgan Funtowicz, Jamie Brew

* 11 pages, 1 figure, more details at https://github.com/huggingface/transformers 

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DistilBERT, a distilled version of BERT: smaller, faster, cheaper and lighter


Oct 16, 2019
Victor Sanh, Lysandre Debut, Julien Chaumond, Thomas Wolf

* 5 pages, 1 figure, 4 tables. Accepted at the 5th Workshop on Energy Efficient Machine Learning and Cognitive Computing - NeurIPS 2019 

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Transformers: State-of-the-art Natural Language Processing


Oct 09, 2019
Thomas Wolf, Lysandre Debut, Victor Sanh, Julien Chaumond, Clement Delangue, Anthony Moi, Pierric Cistac, Tim Rault, Rémi Louf, Morgan Funtowicz, Jamie Brew

* 11 pages, 1 figure 

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TransferTransfo: A Transfer Learning Approach for Neural Network Based Conversational Agents


Feb 04, 2019
Thomas Wolf, Victor Sanh, Julien Chaumond, Clement Delangue

* 6 pages, 2 figures, 2 tables, NeurIPS 2018 CAI Workshop 

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A Hierarchical Multi-task Approach for Learning Embeddings from Semantic Tasks


Nov 26, 2018
Victor Sanh, Thomas Wolf, Sebastian Ruder

* 8 pages, 1 figure, To appear in Proceedings of AAAI 2019 

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