Michael Auli

Scaling Speech Technology to 1,000+ Languages JMLR 2024 Toward Joint Language Modeling for Speech Units and Text EMNLP 2023 Simple and Effective Unsupervised Speech Translation ACL 2023 Efficient Self-supervised Learning with Contextualized Target Representations for Vision, Speech and Language ICML 2023 DinoSR: Self-Distillation and Online Clustering for Self-supervised Speech Representation Learning NIPS 2023 XLS-R: Self-supervised Cross-lingual Speech Representation Learning at Scale INTERSPEECH 2022 Masked Autoencoders that Listen NIPS 2022 Simple and Effective Zero-shot Cross-lingual Phoneme Recognition INTERSPEECH 2022 Simple and Effective Unsupervised Speech Synthesis INTERSPEECH 2022 On-demand compute reduction with stochastic wav2vec 2.0 INTERSPEECH 2022 Wav2Vec-Aug: Improved self-supervised training with limited data INTERSPEECH 2022 Unified Speech-Text Pre-training for Speech Translation and Recognition ACL 2022 XTREME-S: Evaluating Cross-lingual Speech Representations INTERSPEECH 2022 data2vec: A General Framework for Self-supervised Learning in Speech, Vision and Language ICML 2022 Multilingual Speech Translation from Efficient Finetuning of Pretrained Models IJCNLP 2021 Self-training Improves Pre-training for Natural Language Understanding NAACL 2021 Beyond English-Centric Multilingual Machine Translation JMLR 2021 Unsupervised Cross-Lingual Representation Learning for Speech Recognition INTERSPEECH 2021 Unsupervised Speech Recognition NIPS 2021 Multilingual Speech Translation from Efficient Finetuning of Pretrained Models ACL 2021 Reservoir Transformers ACL 2021 Discriminative Reranking for Neural Machine Translation ACL 2021 Large-Scale Self- and Semi-Supervised Learning for Speech Translation INTERSPEECH 2021 Robust wav2vec 2.0: Analyzing Domain Shift in Self-Supervised Pre-Training INTERSPEECH 2021 The Source-Target Domain Mismatch Problem in Machine Translation EACL 2021 Discriminative Reranking for Neural Machine Translation IJCNLP 2021 Reservoir Transformers IJCNLP 2021 wav2vec 2.0: A Framework for Self-Supervised Learning of Speech Representations NIPS 2020 On The Evaluation of Machine Translation Systems Trained With Back-Translation ACL 2020 Robust and On-the-fly Dataset Denoising for Image Classification ECCV 2020 Language Models not just for Pre-training: Fast Online Neural Noisy Channel Modeling EMNLP 2020 vq-wav2vec: Self-Supervised Learning of Discrete Speech Representations ICLR 2020 Depth-Adaptive Transformer ICLR 2020 Cloze-driven Pretraining of Self-attention Networks IJCNLP 2019 Simple and Effective Noisy Channel Modeling for Neural Machine Translation IJCNLP 2019 wav2vec: Unsupervised Pre-Training for Speech Recognition INTERSPEECH 2019 Wizard of Wikipedia: Knowledge-Powered Conversational Agents ICLR 2019 fairseq: A Fast, Extensible Toolkit for Sequence Modeling NAACL 2019 Pre-trained language model representations for language generation NAACL 2019 Simple and Effective Noisy Channel Modeling for Neural Machine Translation EMNLP 2019 Cloze-driven Pretraining of Self-attention Networks EMNLP 2019 Adaptive Input Representations for Neural Language Modeling ICLR 2019 Mixture Models for Diverse Machine Translation: Tricks of the Trade ICML 2019 Pay Less Attention with Lightweight and Dynamic Convolutions ICLR 2019 ELI5: Long Form Question Answering ACL 2019 Facebook FAIR’s WMT19 News Translation Task Submission ACL 2019 3D Human Pose Estimation in Video With Temporal Convolutions and Semi-Supervised Training CVPR 2019 Scaling Neural Machine Translation EMNLP 2018 Analyzing Uncertainty in Neural Machine Translation ICML 2018 Understanding Back-Translation at Scale EMNLP 2018 Controllable Abstractive Summarization ACL 2018 QuickEdit: Editing Text & Translations by Crossing Words Out NAACL 2018 Classical Structured Prediction Losses for Sequence to Sequence Learning NAACL 2018 Convolutional Sequence to Sequence Learning ICML 2017 A Convolutional Encoder Model for Neural Machine Translation ACL 2017 Language Modeling with Gated Convolutional Networks ICML 2017 Strategies for Training Large Vocabulary Neural Language Models ACL 2016 Abstractive Sentence Summarization with Attentive Recurrent Neural Networks NAACL 2016 Expected F-Measure Training for Shift-Reduce Parsing with Recurrent Neural Networks NAACL 2016 Neural Text Generation from Structured Data with Application to the Biography Domain EMNLP 2016 deltaBLEU: A Discriminative Metric for Generation Tasks with Intrinsically Diverse Targets ACL 2015 CCG Supertagging with a Recurrent Neural Network ACL 2015 deltaBLEU: A Discriminative Metric for Generation Tasks with Intrinsically Diverse Targets IJCNLP 2015 CCG Supertagging with a Recurrent Neural Network IJCNLP 2015 A Neural Network Approach to Context-Sensitive Generation of Conversational Responses NAACL 2015 Learning Translation Models from Monolingual Continuous Representations NAACL 2015 Minimum Translation Modeling with Recurrent Neural Networks EACL 2014 Decoder Integration and Expected BLEU Training for Recurrent Neural Network Language Models ACL 2014 Large-scale Expected BLEU Training of Phrase-based Reordering Models EMNLP 2014 Joint Language and Translation Modeling with Recurrent Neural Networks EMNLP 2013 A Comparison of Loopy Belief Propagation and Dual Decomposition for Integrated CCG Supertagging and Parsing ACL 2011 Training a Log-Linear Parser with Loss Functions via Softmax-Margin EMNLP 2011 Efficient CCG Parsing: A* versus Adaptive Supertagging ACL 2011