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2020 – today
- 2024
[c38]Xiou Ge, Ali Mousavi, Edouard Grave, Armand Joulin, Kun Qian, Benjamin Han, Mostafa Arefiyan, Yunyao Li:
Time Sensitive Knowledge Editing through Efficient Finetuning. ACL (Short Papers) 2024: 583-593- [i54]Xiou Ge, Ali Mousavi, Edouard Grave, Armand Joulin, Kun Qian, Benjamin Han, Mostafa Arefiyan, Yunyao Li:
Time Sensitive Knowledge Editing through Efficient Finetuning. CoRR abs/2406.04496 (2024) - 2023
- [j8]Gautier Izacard, Patrick S. H. Lewis, Maria Lomeli, Lucas Hosseini, Fabio Petroni, Timo Schick, Jane Dwivedi-Yu, Armand Joulin, Sebastian Riedel, Edouard Grave:
Atlas: Few-shot Learning with Retrieval Augmented Language Models. J. Mach. Learn. Res. 24: 251:1-251:43 (2023) - [j7]Fabio Petroni
, Samuel Broscheit, Aleksandra Piktus, Patrick S. H. Lewis, Gautier Izacard, Lucas Hosseini, Jane Dwivedi-Yu, Maria Lomeli, Timo Schick, Michele Bevilacqua, Pierre-Emmanuel Mazaré, Armand Joulin, Edouard Grave, Sebastian Riedel:
Improving Wikipedia verifiability with AI. Nat. Mac. Intell. 5(10): 1142-1148 (2023) - [j6]Hugo Touvron, Piotr Bojanowski, Mathilde Caron, Matthieu Cord, Alaaeldin El-Nouby, Edouard Grave, Gautier Izacard, Armand Joulin, Gabriel Synnaeve, Jakob Verbeek, Hervé Jégou:
ResMLP: Feedforward Networks for Image Classification With Data-Efficient Training. IEEE Trans. Pattern Anal. Mach. Intell. 45(4): 5314-5321 (2023) - [j5]Grégoire Mialon, Roberto Dessì, Maria Lomeli, Christoforos Nalmpantis, Ramakanth Pasunuru, Roberta Raileanu, Baptiste Rozière, Timo Schick, Jane Dwivedi-Yu, Asli Celikyilmaz, Edouard Grave, Yann LeCun, Thomas Scialom:
Augmented Language Models: a Survey. Trans. Mach. Learn. Res. 2023 (2023) - [c37]Timo Schick, Jane A. Yu, Zhengbao Jiang, Fabio Petroni, Patrick S. H. Lewis, Gautier Izacard, Qingfei You, Christoforos Nalmpantis, Edouard Grave, Sebastian Riedel:
PEER: A Collaborative Language Model. ICLR 2023 - [i53]Grégoire Mialon, Roberto Dessì, Maria Lomeli, Christoforos Nalmpantis, Ramakanth Pasunuru, Roberta Raileanu, Baptiste Rozière, Timo Schick, Jane Dwivedi-Yu, Asli Celikyilmaz, Edouard Grave, Yann LeCun, Thomas Scialom:
Augmented Language Models: a Survey. CoRR abs/2302.07842 (2023) - [i52]Hugo Touvron, Thibaut Lavril, Gautier Izacard, Xavier Martinet, Marie-Anne Lachaux, Timothée Lacroix, Baptiste Rozière, Naman Goyal, Eric Hambro, Faisal Azhar, Aurélien Rodriguez, Armand Joulin, Edouard Grave, Guillaume Lample:
LLaMA: Open and Efficient Foundation Language Models. CoRR abs/2302.13971 (2023) - [i51]Giovanni Monea, Armand Joulin, Edouard Grave:
PaSS: Parallel Speculative Sampling. CoRR abs/2311.13581 (2023) - 2022
- [j4]Gautier Izacard, Mathilde Caron, Lucas Hosseini, Sebastian Riedel, Piotr Bojanowski, Armand Joulin, Edouard Grave:
Unsupervised Dense Information Retrieval with Contrastive Learning. Trans. Mach. Learn. Res. 2022 (2022) - [c36]Jacob D. Kahn, Vineel Pratap, Tatiana Likhomanenko, Qiantong Xu, Awni Y. Hannun, Jeff Cai, Paden Tomasello, Ann Lee, Edouard Grave, Gilad Avidov, Benoit Steiner, Vitaliy Liptchinsky, Gabriel Synnaeve, Ronan Collobert:
Flashlight: Enabling Innovation in Tools for Machine Learning. ICML 2022: 10557-10574 - [i50]Jacob Kahn, Vineel Pratap, Tatiana Likhomanenko, Qiantong Xu, Awni Y. Hannun, Jeff Cai, Paden Tomasello, Ann Lee, Edouard Grave, Gilad Avidov, Benoit Steiner, Vitaliy Liptchinsky, Gabriel Synnaeve, Ronan Collobert:
Flashlight: Enabling Innovation in Tools for Machine Learning. CoRR abs/2201.12465 (2022) - [i49]Fabio Petroni, Samuel Broscheit, Aleksandra Piktus, Patrick S. H. Lewis, Gautier Izacard, Lucas Hosseini, Jane Dwivedi-Yu, Maria Lomeli, Timo Schick, Pierre-Emmanuel Mazaré, Armand Joulin, Edouard Grave, Sebastian Riedel:
Improving Wikipedia Verifiability with AI. CoRR abs/2207.06220 (2022) - [i48]Gautier Izacard, Patrick S. H. Lewis, Maria Lomeli, Lucas Hosseini, Fabio Petroni, Timo Schick, Jane Dwivedi-Yu, Armand Joulin, Sebastian Riedel, Edouard Grave:
Few-shot Learning with Retrieval Augmented Language Models. CoRR abs/2208.03299 (2022) - [i47]Timo Schick, Jane Dwivedi-Yu, Zhengbao Jiang, Fabio Petroni, Patrick S. H. Lewis, Gautier Izacard, Qingfei You, Christoforos Nalmpantis, Edouard Grave, Sebastian Riedel:
PEER: A Collaborative Language Model. CoRR abs/2208.11663 (2022) - [i46]Jane Dwivedi-Yu, Timo Schick, Zhengbao Jiang, Maria Lomeli, Patrick S. H. Lewis, Gautier Izacard, Edouard Grave, Sebastian Riedel, Fabio Petroni:
EditEval: An Instruction-Based Benchmark for Text Improvements. CoRR abs/2209.13331 (2022) - 2021
- [c35]Holger Schwenk, Guillaume Wenzek, Sergey Edunov, Edouard Grave, Armand Joulin, Angela Fan:
CCMatrix: Mining Billions of High-Quality Parallel Sentences on the Web. ACL/IJCNLP (1) 2021: 6490-6500 - [c34]Gautier Izacard, Edouard Grave:
Leveraging Passage Retrieval with Generative Models for Open Domain Question Answering. EACL 2021: 874-880 - [c33]Gautier Izacard, Edouard Grave:
Distilling Knowledge from Reader to Retriever for Question Answering. ICLR 2021 - [c32]Pierre Stock, Angela Fan, Benjamin Graham, Edouard Grave, Rémi Gribonval, Hervé Jégou, Armand Joulin:
Training with Quantization Noise for Extreme Model Compression. ICLR 2021 - [c31]Jingfei Du, Edouard Grave, Beliz Gunel, Vishrav Chaudhary, Onur Celebi, Michael Auli, Veselin Stoyanov, Alexis Conneau:
Self-training Improves Pre-training for Natural Language Understanding. NAACL-HLT 2021: 5408-5418 - [i45]Sewon Min, Jordan L. Boyd-Graber, Chris Alberti, Danqi Chen, Eunsol Choi, Michael Collins, Kelvin Guu, Hannaneh Hajishirzi, Kenton Lee, Jennimaria Palomaki, Colin Raffel, Adam Roberts, Tom Kwiatkowski, Patrick S. H. Lewis, Yuxiang Wu, Heinrich Küttler, Linqing Liu, Pasquale Minervini, Pontus Stenetorp, Sebastian Riedel, Sohee Yang, Minjoon Seo, Gautier Izacard, Fabio Petroni, Lucas Hosseini, Nicola De Cao, Edouard Grave, Ikuya Yamada, Sonse Shimaoka, Masatoshi Suzuki, Shumpei Miyawaki, Shun Sato, Ryo Takahashi, Jun Suzuki, Martin Fajcik, Martin Docekal, Karel Ondrej, Pavel Smrz, Hao Cheng, Yelong Shen, Xiaodong Liu, Pengcheng He, Weizhu Chen, Jianfeng Gao, Barlas Oguz, Xilun Chen, Vladimir Karpukhin, Stan Peshterliev, Dmytro Okhonko, Michael Sejr Schlichtkrull, Sonal Gupta, Yashar Mehdad, Wen-tau Yih:
NeurIPS 2020 EfficientQA Competition: Systems, Analyses and Lessons Learned. CoRR abs/2101.00133 (2021) - [i44]Hugo Touvron, Piotr Bojanowski, Mathilde Caron, Matthieu Cord, Alaaeldin El-Nouby, Edouard Grave, Armand Joulin, Gabriel Synnaeve, Jakob Verbeek, Hervé Jégou:
ResMLP: Feedforward networks for image classification with data-efficient training. CoRR abs/2105.03404 (2021) - [i43]Gautier Izacard, Mathilde Caron, Lucas Hosseini, Sebastian Riedel, Piotr Bojanowski, Armand Joulin, Edouard Grave:
Towards Unsupervised Dense Information Retrieval with Contrastive Learning. CoRR abs/2112.09118 (2021) - [i42]Aleksandra Piktus, Fabio Petroni, Vladimir Karpukhin, Dmytro Okhonko, Samuel Broscheit, Gautier Izacard, Patrick S. H. Lewis, Barlas Oguz, Edouard Grave, Wen-tau Yih, Sebastian Riedel:
The Web Is Your Oyster - Knowledge-Intensive NLP against a Very Large Web Corpus. CoRR abs/2112.09924 (2021) - [i41]Alaaeldin El-Nouby, Gautier Izacard, Hugo Touvron, Ivan Laptev, Hervé Jégou, Edouard Grave:
Are Large-scale Datasets Necessary for Self-Supervised Pre-training? CoRR abs/2112.10740 (2021) - 2020
- [c30]Alexis Conneau, Kartikay Khandelwal, Naman Goyal, Vishrav Chaudhary, Guillaume Wenzek, Francisco Guzmán, Edouard Grave, Myle Ott, Luke Zettlemoyer, Veselin Stoyanov:
Unsupervised Cross-lingual Representation Learning at Scale. ACL 2020: 8440-8451 - [c29]Maha Elbayad, Jiatao Gu, Edouard Grave, Michael Auli:
Depth-Adaptive Transformer. ICLR 2020 - [c28]Angela Fan, Edouard Grave, Armand Joulin:
Reducing Transformer Depth on Demand with Structured Dropout. ICLR 2020 - [c27]Guillaume Wenzek, Marie-Anne Lachaux, Alexis Conneau, Vishrav Chaudhary, Francisco Guzmán, Armand Joulin, Edouard Grave:
CCNet: Extracting High Quality Monolingual Datasets from Web Crawl Data. LREC 2020: 4003-4012 - [c26]Sewon Min, Jordan L. Boyd-Graber, Chris Alberti, Danqi Chen, Eunsol Choi, Michael Collins, Kelvin Guu, Hannaneh Hajishirzi, Kenton Lee, Jennimaria Palomaki, Colin Raffel, Adam Roberts, Tom Kwiatkowski, Patrick S. H. Lewis, Yuxiang Wu, Heinrich Küttler, Linqing Liu, Pasquale Minervini, Pontus Stenetorp, Sebastian Riedel, Sohee Yang, Minjoon Seo, Gautier Izacard, Fabio Petroni, Lucas Hosseini, Nicola De Cao, Edouard Grave, Ikuya Yamada, Sonse Shimaoka, Masatoshi Suzuki, Shumpei Miyawaki, Shun Sato, Ryo Takahashi, Jun Suzuki, Martin Fajcik, Martin Docekal, Karel Ondrej, Pavel Smrz, Hao Cheng, Yelong Shen, Xiaodong Liu, Pengcheng He, Weizhu Chen, Jianfeng Gao, Barlas Oguz, Xilun Chen, Vladimir Karpukhin, Stan Peshterliev, Dmytro Okhonko, Michael Sejr Schlichtkrull, Sonal Gupta, Yashar Mehdad, Wen-tau Yih:
NeurIPS 2020 EfficientQA Competition: Systems, Analyses and Lessons Learned. NeurIPS (Competition and Demos) 2020: 86-111 - [i40]Angela Fan, Thibaut Lavril, Edouard Grave, Armand Joulin, Sainbayar Sukhbaatar:
Accessing Higher-level Representations in Sequential Transformers with Feedback Memory. CoRR abs/2002.09402 (2020) - [i39]Angela Fan, Pierre Stock, Benjamin Graham, Edouard Grave, Rémi Gribonval, Hervé Jégou, Armand Joulin:
Training with Quantization Noise for Extreme Model Compression. CoRR abs/2004.07320 (2020) - [i38]Gautier Izacard, Edouard Grave:
Leveraging Passage Retrieval with Generative Models for Open Domain Question Answering. CoRR abs/2007.01282 (2020) - [i37]Jingfei Du, Edouard Grave, Beliz Gunel, Vishrav Chaudhary, Onur Celebi, Michael Auli, Ves Stoyanov, Alexis Conneau:
Self-training Improves Pre-training for Natural Language Understanding. CoRR abs/2010.02194 (2020) - [i36]Angela Fan, Shruti Bhosale, Holger Schwenk, Zhiyi Ma, Ahmed El-Kishky, Siddharth Goyal, Mandeep Baines, Onur Celebi, Guillaume Wenzek, Vishrav Chaudhary, Naman Goyal, Tom Birch, Vitaliy Liptchinsky, Sergey Edunov, Edouard Grave, Michael Auli, Armand Joulin:
Beyond English-Centric Multilingual Machine Translation. CoRR abs/2010.11125 (2020) - [i35]Gautier Izacard, Edouard Grave:
Distilling Knowledge from Reader to Retriever for Question Answering. CoRR abs/2012.04584 (2020) - [i34]Gautier Izacard, Fabio Petroni, Lucas Hosseini, Nicola De Cao, Sebastian Riedel, Edouard Grave:
A Memory Efficient Baseline for Open Domain Question Answering. CoRR abs/2012.15156 (2020)
2010 – 2019
- 2019
- [c25]Sainbayar Sukhbaatar, Edouard Grave, Piotr Bojanowski, Armand Joulin:
Adaptive Attention Span in Transformers. ACL (1) 2019: 331-335 - [c24]Edouard Grave, Sainbayar Sukhbaatar, Piotr Bojanowski, Armand Joulin:
Training Hybrid Language Models by Marginalizing over Segmentations. ACL (1) 2019: 1477-1482 - [c23]Alex Wang, Jan Hula, Patrick Xia, Raghavendra Pappagari, R. Thomas McCoy, Roma Patel, Najoung Kim, Ian Tenney, Yinghui Huang, Katherin Yu, Shuning Jin, Berlin Chen, Benjamin Van Durme, Edouard Grave, Ellie Pavlick, Samuel R. Bowman:
Can You Tell Me How to Get Past Sesame Street? Sentence-Level Pretraining Beyond Language Modeling. ACL (1) 2019: 4465-4476 - [c22]Edouard Grave, Armand Joulin, Quentin Berthet:
Unsupervised Alignment of Embeddings with Wasserstein Procrustes. AISTATS 2019: 1880-1890 - [c21]Paula Czarnowska, Sebastian Ruder, Edouard Grave, Ryan Cotterell, Ann A. Copestake:
Don't Forget the Long Tail! A Comprehensive Analysis of Morphological Generalization in Bilingual Lexicon Induction. EMNLP/IJCNLP (1) 2019: 974-983 - [c20]Jean Alaux, Edouard Grave, Marco Cuturi, Armand Joulin:
Unsupervised Hyper-alignment for Multilingual Word Embeddings. ICLR (Poster) 2019 - [c19]Bora Edizel, Aleksandra Piktus, Piotr Bojanowski, Rui Ferreira, Edouard Grave, Fabrizio Silvestri:
Misspelling Oblivious Word Embeddings. NAACL-HLT (1) 2019: 3226-3234 - [i33]Sainbayar Sukhbaatar, Edouard Grave, Piotr Bojanowski, Armand Joulin:
Adaptive Attention Span in Transformers. CoRR abs/1905.07799 (2019) - [i32]Bora Edizel, Aleksandra Piktus, Piotr Bojanowski, Rui Ferreira, Edouard Grave, Fabrizio Silvestri:
Misspelling Oblivious Word Embeddings. CoRR abs/1905.09755 (2019) - [i31]Sainbayar Sukhbaatar, Edouard Grave, Guillaume Lample, Hervé Jégou, Armand Joulin:
Augmenting Self-attention with Persistent Memory. CoRR abs/1907.01470 (2019) - [i30]Paula Czarnowska, Sebastian Ruder, Edouard Grave, Ryan Cotterell, Ann A. Copestake:
Don't Forget the Long Tail! A Comprehensive Analysis of Morphological Generalization in Bilingual Lexicon Induction. CoRR abs/1909.02855 (2019) - [i29]Angela Fan, Edouard Grave, Armand Joulin:
Reducing Transformer Depth on Demand with Structured Dropout. CoRR abs/1909.11556 (2019) - [i28]Piotr Bojanowski, Onur Celebi, Tomás Mikolov, Edouard Grave, Armand Joulin:
Updating Pre-trained Word Vectors and Text Classifiers using Monolingual Alignment. CoRR abs/1910.06241 (2019) - [i27]Maha Elbayad, Jiatao Gu, Edouard Grave, Michael Auli:
Depth-Adaptive Transformer. CoRR abs/1910.10073 (2019) - [i26]Guillaume Wenzek, Marie-Anne Lachaux, Alexis Conneau, Vishrav Chaudhary, Francisco Guzmán, Armand Joulin, Edouard Grave:
CCNet: Extracting High Quality Monolingual Datasets from Web Crawl Data. CoRR abs/1911.00359 (2019) - [i25]Alexis Conneau, Kartikay Khandelwal, Naman Goyal, Vishrav Chaudhary, Guillaume Wenzek, Francisco Guzmán, Edouard Grave, Myle Ott, Luke Zettlemoyer, Veselin Stoyanov:
Unsupervised Cross-lingual Representation Learning at Scale. CoRR abs/1911.02116 (2019) - [i24]Holger Schwenk, Guillaume Wenzek, Sergey Edunov, Edouard Grave, Armand Joulin:
CCMatrix: Mining Billions of High-Quality Parallel Sentences on the WEB. CoRR abs/1911.04944 (2019) - [i23]Gabriel Synnaeve, Qiantong Xu, Jacob Kahn, Edouard Grave, Tatiana Likhomanenko, Vineel Pratap, Anuroop Sriram, Vitaliy Liptchinsky, Ronan Collobert:
End-to-end ASR: from Supervised to Semi-Supervised Learning with Modern Architectures. CoRR abs/1911.08460 (2019) - 2018
- [c18]Douwe Kiela, Edouard Grave, Armand Joulin, Tomás Mikolov:
Efficient Large-Scale Multi-Modal Classification. AAAI 2018: 5198-5204 - [c17]Armand Joulin, Piotr Bojanowski, Tomás Mikolov, Hervé Jégou, Edouard Grave:
Loss in Translation: Learning Bilingual Word Mapping with a Retrieval Criterion. EMNLP 2018: 2979-2984 - [c16]Edouard Grave, Piotr Bojanowski, Prakhar Gupta, Armand Joulin, Tomás Mikolov:
Learning Word Vectors for 157 Languages. LREC 2018 - [c15]Tomás Mikolov, Edouard Grave, Piotr Bojanowski, Christian Puhrsch, Armand Joulin:
Advances in Pre-Training Distributed Word Representations. LREC 2018 - [c14]Kristina Gulordava, Piotr Bojanowski, Edouard Grave, Tal Linzen, Marco Baroni:
Colorless Green Recurrent Networks Dream Hierarchically. NAACL-HLT 2018: 1195-1205 - [i22]Douwe Kiela, Edouard Grave, Armand Joulin, Tomás Mikolov:
Efficient Large-Scale Multi-Modal Classification. CoRR abs/1802.02892 (2018) - [i21]Edouard Grave, Piotr Bojanowski, Prakhar Gupta, Armand Joulin, Tomás Mikolov:
Learning Word Vectors for 157 Languages. CoRR abs/1802.06893 (2018) - [i20]Kristina Gulordava, Piotr Bojanowski, Edouard Grave, Tal Linzen, Marco Baroni:
Colorless green recurrent networks dream hierarchically. CoRR abs/1803.11138 (2018) - [i19]Anton Bakhtin, Arthur Szlam, Marc'Aurelio Ranzato, Edouard Grave:
Lightweight Adaptive Mixture of Neural and N-gram Language Models. CoRR abs/1804.07705 (2018) - [i18]Armand Joulin, Piotr Bojanowski, Tomás Mikolov, Edouard Grave:
Improving Supervised Bilingual Mapping of Word Embeddings. CoRR abs/1804.07745 (2018) - [i17]Edouard Grave, Armand Joulin, Quentin Berthet:
Unsupervised Alignment of Embeddings with Wasserstein Procrustes. CoRR abs/1805.11222 (2018) - [i16]Jean Alaux, Edouard Grave, Marco Cuturi, Armand Joulin:
Unsupervised Hyperalignment for Multilingual Word Embeddings. CoRR abs/1811.01124 (2018) - [i15]Samuel R. Bowman, Ellie Pavlick, Edouard Grave, Benjamin Van Durme, Alex Wang, Jan Hula, Patrick Xia, Raghavendra Pappagari, R. Thomas McCoy, Roma Patel, Najoung Kim, Ian Tenney, Yinghui Huang, Katherin Yu, Shuning Jin, Berlin Chen:
Looking for ELMo's friends: Sentence-Level Pretraining Beyond Language Modeling. CoRR abs/1812.10860 (2018) - 2017
- [j3]Shaodian Zhang, Edouard Grave, Elizabeth Sklar, Noémie Elhadad:
Longitudinal analysis of discussion topics in an online breast cancer community using convolutional neural networks. J. Biomed. Informatics 69: 1-9 (2017) - [j2]Piotr Bojanowski, Edouard Grave, Armand Joulin, Tomás Mikolov:
Enriching Word Vectors with Subword Information. Trans. Assoc. Comput. Linguistics 5: 135-146 (2017) - [c13]Armand Joulin, Edouard Grave, Piotr Bojanowski, Maximilian Nickel, Tomás Mikolov:
Fast Linear Model for Knowledge Graph Embeddings. AKBC@NIPS 2017 - [c12]Armand Joulin, Edouard Grave, Piotr Bojanowski, Tomás Mikolov:
Bag of Tricks for Efficient Text Classification. EACL (2) 2017: 427-431 - [c11]Edouard Grave, Armand Joulin, Nicolas Usunier:
Improving Neural Language Models with a Continuous Cache. ICLR (Poster) 2017 - [c10]Yacine Jernite, Edouard Grave, Armand Joulin, Tomás Mikolov:
Variable Computation in Recurrent Neural Networks. ICLR (Poster) 2017 - [c9]Moustapha Cissé, Piotr Bojanowski, Edouard Grave, Yann N. Dauphin, Nicolas Usunier:
Parseval Networks: Improving Robustness to Adversarial Examples. ICML 2017: 854-863 - [c8]Edouard Grave, Armand Joulin, Moustapha Cissé, David Grangier, Hervé Jégou:
Efficient softmax approximation for GPUs. ICML 2017: 1302-1310 - [c7]Edouard Grave, Moustapha Cissé, Armand Joulin:
Unbounded cache model for online language modeling with open vocabulary. NIPS 2017: 6042-6052 - [i14]Moustapha Cissé, Piotr Bojanowski, Edouard Grave, Yann N. Dauphin, Nicolas Usunier:
Parseval Networks: Improving Robustness to Adversarial Examples. CoRR abs/1704.08847 (2017) - [i13]Armand Joulin, Edouard Grave, Piotr Bojanowski, Maximilian Nickel, Tomás Mikolov:
Fast Linear Model for Knowledge Graph Embeddings. CoRR abs/1710.10881 (2017) - [i12]Edouard Grave, Moustapha Cissé, Armand Joulin:
Unbounded cache model for online language modeling with open vocabulary. CoRR abs/1711.02604 (2017) - [i11]Tomás Mikolov, Edouard Grave, Piotr Bojanowski, Christian Puhrsch, Armand Joulin:
Advances in Pre-Training Distributed Word Representations. CoRR abs/1712.09405 (2017) - 2016
- [i10]Shaodian Zhang, Edouard Grave, Elizabeth Sklar, Noemie Elhadad:
Longitudinal Analysis of Discussion Topics in an Online Breast Cancer Community using Convolutional Neural Networks. CoRR abs/1603.08458 (2016) - [i9]Armand Joulin, Edouard Grave, Piotr Bojanowski, Tomás Mikolov:
Bag of Tricks for Efficient Text Classification. CoRR abs/1607.01759 (2016) - [i8]Piotr Bojanowski, Edouard Grave, Armand Joulin, Tomás Mikolov:
Enriching Word Vectors with Subword Information. CoRR abs/1607.04606 (2016) - [i7]Edouard Grave, Armand Joulin, Moustapha Cissé, David Grangier, Hervé Jégou:
Efficient softmax approximation for GPUs. CoRR abs/1609.04309 (2016) - [i6]Yacine Jernite, Edouard Grave, Armand Joulin, Tomás Mikolov:
Variable Computation in Recurrent Neural Networks. CoRR abs/1611.06188 (2016) - [i5]Armand Joulin, Edouard Grave, Piotr Bojanowski, Matthijs Douze, Hervé Jégou, Tomás Mikolov:
FastText.zip: Compressing text classification models. CoRR abs/1612.03651 (2016) - [i4]Edouard Grave, Armand Joulin, Nicolas Usunier:
Improving Neural Language Models with a Continuous Cache. CoRR abs/1612.04426 (2016) - 2015
- [j1]Rimma Pivovarov, Adler J. Perotte, Edouard Grave, John Angiolillo, Chris H. Wiggins, Noémie Elhadad:
Learning probabilistic phenotypes from heterogeneous EHR data. J. Biomed. Informatics 58: 156-165 (2015) - [c6]Edouard Grave, Noémie Elhadad:
A convex and feature-rich discriminative approach to dependency grammar induction. ACL (1) 2015: 1375-1384 - [c5]Piotr Bojanowski, Rémi Lajugie, Edouard Grave, Francis R. Bach, Ivan Laptev, Jean Ponce, Cordelia Schmid:
Weakly-Supervised Alignment of Video with Text. ICCV 2015: 4462-4470 - [i3]Piotr Bojanowski, Rémi Lajugie, Edouard Grave, Francis R. Bach, Ivan Laptev, Jean Ponce, Cordelia Schmid:
Weakly-Supervised Alignment of Video With Text. CoRR abs/1505.06027 (2015) - 2014
- [b1]Edouard Grave:
A Markovian approach to distributional semantics. (Une approche Markovienne à la sémantique distributionnelle). Pierre and Marie Curie University, Paris, France, 2014 - [c4]Edouard Grave, Guillaume Obozinski, Francis R. Bach:
A Markovian approach to distributional semantics with application to semantic compositionality. COLING 2014: 1447-1456 - [c3]Edouard Grave:
A convex relaxation for weakly supervised relation extraction. EMNLP 2014: 1580-1590 - 2013
- [c2]Edouard Grave, Guillaume Obozinski, Francis R. Bach:
Hidden Markov tree models for semantic class induction. CoNLL 2013: 94-103 - [i2]Edouard Grave, Guillaume Obozinski, Francis R. Bach:
Domain adaptation for sequence labeling using hidden Markov models. CoRR abs/1312.4092 (2013) - 2011
- [c1]Edouard Grave, Guillaume Obozinski, Francis R. Bach:
Trace Lasso: a trace norm regularization for correlated designs. NIPS 2011: 2187-2195 - [i1]Edouard Grave, Guillaume Obozinski, Francis R. Bach:
Trace Lasso: a trace norm regularization for correlated designs. CoRR abs/1109.1990 (2011)
Coauthor Index
[c38] [i54] [j8] [j7] [j6] [i52] [i51] [j4] [i49] [i48] [c35] [c32] [i44] [i43] [c28] [c27] [i40] [i39] [i36] [c25] [c24] [c22] [c20] [i33] [i31] [i29] [i28] [i26] [i24] [c18] [c17] [c16] [c15] [i22] [i21] [i18] [i17] [i16] [j2] [c13] [c12] [c11] [c10] [c8] [c7] [i13] [i12] [i11] [i9] [i8] [i7] [i6] [i5] [i4]
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load references from crossref.org and opencitations.net
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Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
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OpenAlex data
Load additional information about publications from 
.
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last updated on 2024-10-13 18:01 CEST by the dblp team
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