Michael Auli
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Michael Aulicomputer-science Degrees
Computer Science
#9638
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#10114
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Programming
#91
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#95
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Computational Linguistics
#2357
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#2380
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Machine Learning
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#4323
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Computer Science
Why Is Michael Auli Influential?
(Suggest an Edit or Addition)Michael Auli's Published Works
Number of citations in a given year to any of this author's works
Total number of citations to an author for the works they published in a given year. This highlights publication of the most important work(s) by the author
Published Works
- Convolutional Sequence to Sequence Learning (2017) (2817)
- fairseq: A Fast, Extensible Toolkit for Sequence Modeling (2019) (2098)
- wav2vec 2.0: A Framework for Self-Supervised Learning of Speech Representations (2020) (1883)
- Language Modeling with Gated Convolutional Networks (2016) (1625)
- Sequence Level Training with Recurrent Neural Networks (2015) (1373)
- A Neural Network Approach to Context-Sensitive Generation of Conversational Responses (2015) (867)
- Understanding Back-Translation at Scale (2018) (827)
- Abstractive Sentence Summarization with Attentive Recurrent Neural Networks (2016) (776)
- wav2vec: Unsupervised Pre-training for Speech Recognition (2019) (722)
- Wizard of Wikipedia: Knowledge-Powered Conversational agents (2018) (578)
- 3D Human Pose Estimation in Video With Temporal Convolutions and Semi-Supervised Training (2018) (576)
- Scaling Neural Machine Translation (2018) (540)
- Pay Less Attention with Lightweight and Dynamic Convolutions (2019) (486)
- vq-wav2vec: Self-Supervised Learning of Discrete Speech Representations (2019) (415)
- Neural Text Generation from Structured Data with Application to the Biography Domain (2016) (404)
- A Convolutional Encoder Model for Neural Machine Translation (2016) (403)
- Beyond English-Centric Multilingual Machine Translation (2020) (335)
- Unsupervised Cross-lingual Representation Learning for Speech Recognition (2020) (295)
- data2vec: A General Framework for Self-supervised Learning in Speech, Vision and Language (2022) (284)
- Adaptive Input Representations for Neural Language Modeling (2018) (278)
- Joint Language and Translation Modeling with Recurrent Neural Networks (2013) (274)
- Facebook FAIR’s WMT19 News Translation Task Submission (2019) (274)
- Controllable Abstractive Summarization (2017) (237)
- Analyzing Uncertainty in Neural Machine Translation (2018) (197)
- ELI5: Long Form Question Answering (2019) (186)
- QuaterNet: A Quaternion-based Recurrent Model for Human Motion (2018) (177)
- Cloze-driven Pretraining of Self-attention Networks (2019) (175)
- Classical Structured Prediction Losses for Sequence to Sequence Learning (2017) (160)
- deltaBLEU: A Discriminative Metric for Generation Tasks with Intrinsically Diverse Targets (2015) (147)
- Strategies for Training Large Vocabulary Neural Language Models (2015) (136)
- XLS-R: Self-supervised Cross-lingual Speech Representation Learning at Scale (2021) (135)
- Unsupervised Speech Recognition (2021) (133)
- Modeling Human Motion with Quaternion-Based Neural Networks (2019) (117)
- Effectiveness of self-supervised pre-training for speech recognition (2019) (110)
- Robust wav2vec 2.0: Analyzing Domain Shift in Self-Supervised Pre-Training (2021) (106)
- Self-training Improves Pre-training for Natural Language Understanding (2020) (106)
- Pre-trained language model representations for language generation (2019) (105)
- Mixture Models for Diverse Machine Translation: Tricks of the Trade (2019) (98)
- Self-Training and Pre-Training are Complementary for Speech Recognition (2020) (96)
- On The Evaluation of Machine Translation SystemsTrained With Back-Translation (2019) (75)
- Depth-Adaptive Transformer (2019) (73)
- Multilingual Speech Translation from Efficient Finetuning of Pretrained Models (2020) (70)
- Simple and Effective Noisy Channel Modeling for Neural Machine Translation (2019) (62)
- CCG Supertagging with a Recurrent Neural Network (2015) (58)
- A Comparison of Loopy Belief Propagation and Dual Decomposition for Integrated CCG Supertagging and Parsing (2011) (57)
- Learning Translation Models from Monolingual Continuous Representations (2015) (42)
- Decoder Integration and Expected BLEU Training for Recurrent Neural Network Language Models (2014) (40)
- Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies (2011) (40)
- Vocabulary Selection Strategies for Neural Machine Translation (2016) (39)
- A Systematic Analysis of Translation Model Search Spaces (2009) (38)
- Generating Text from Structured Data with Application to the Biography Domain (2016) (34)
- Training a Log-Linear Parser with Loss Functions via Softmax-Margin (2011) (34)
- Masked Autoencoders that Listen (2022) (32)
- QuickEdit: Editing Text & Translations by Crossing Words Out (2017) (29)
- Minimum Translation Modeling with Recurrent Neural Networks (2014) (29)
- Unified Speech-Text Pre-training for Speech Translation and Recognition (2022) (29)
- Neural Network-based Word Alignment through Score Aggregation (2016) (27)
- Iterative Refinement for Machine Translation (2016) (25)
- Large-Scale Self- and Semi-Supervised Learning for Speech Translation (2021) (21)
- Towards End-to-End Unsupervised Speech Recognition (2022) (21)
- Large-scale Expected BLEU Training of Phrase-based Reordering Models (2014) (20)
- Expected F-Measure Training for Shift-Reduce Parsing with Recurrent Neural Networks (2016) (19)
- The Source-Target Domain Mismatch Problem in Machine Translation (2019) (19)
- Improved Language Identification Through Cross-Lingual Self-Supervised Learning (2021) (17)
- Discriminative Reranking for Neural Machine Translation (2021) (17)
- Efficient CCG Parsing: A* versus Adaptive Supertagging (2011) (17)
- Proceedings of the 2011 Conference on Empirical Methods in Natural Language Processing (2011) (16)
- Simple and Effective Zero-shot Cross-lingual Phoneme Recognition (2021) (12)
- Improving Conditioning in Context-Aware Sequence to Sequence Models (2019) (10)
- QuickEdit: Editing Text & Translations via Simple Delete Actions (2017) (10)
- Robust and On-the-fly Dataset Denoising for Image Classification (2020) (10)
- Measuring the Impact of Individual Domain Factors in Self-Supervised Pre-Training (2022) (7)
- Simple and Effective Unsupervised Speech Synthesis (2022) (6)
- Reservoir Transformers (2020) (6)
- Wav2Vec-Aug: Improved self-supervised training with limited data (2022) (6)
- A Comparison of Approaches to Document-level Machine Translation (2021) (6)
- A Comparison of Discrete Latent Variable Models for Speech Representation Learning (2020) (6)
- Efficient Self-supervised Learning with Contextualized Target Representations for Vision, Speech and Language (2022) (5)
- Reservoir Transformer (2020) (5)
- XTREME-S: Evaluating Cross-lingual Speech Representations (2022) (5)
- Better Generalization with On-the-fly Dataset Denoising (2018) (5)
- Language Models not just for Pre-training: Fast Online Neural Noisy Channel Modeling (2020) (4)
- On-demand compute reduction with stochastic wav2vec 2.0 (2022) (4)
- Simple and Effective Unsupervised Speech Translation (2022) (3)
- GLOSS: Generative Latent Optimization of Sentence Representations (2019) (2)
- CCG-based Models for Statistical Machine Translation (2009) (2)
- Integrated Supertagging and Parsing (2012) (2)
- Knowledge-powered Conversational agents (2018) (1)
- Diverse Machine Translation with a Single Multinomial Latent Variable (2018) (1)
- News Translation Task Submission (1)
- Explorer Efficient CCG Parsing : A * versus Adaptive Supertagging (2015) (0)
- P AY LESS ATTENTION WITH L IGHTWEIGHT AND D YNAMIC C ONVOLUTIONS (2019) (0)
- VQ-WAV 2 VEC : S ELF-S (2019) (0)
- AV-data2vec: Self-supervised Learning of Audio-Visual Speech Representations with Contextualized Target Representations (2023) (0)
- Modeling Human Motion with Quaternion-Based Neural Networks (2019) (0)
- Embeddings as a Means of Domain Adaptation for the Machine Translation (2017) (0)
- Speech Recognition (2019) (0)
- DISCRETE SPEECH REPRESENTATIONS (2020) (0)
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