default search action
Michael Auli
Person information
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
showing all ?? records
2020 – today
- 2024
- [j3]Vineel Pratap, Andros Tjandra, Bowen Shi, Paden Tomasello, Arun Babu, Sayani Kundu, Ali Elkahky, Zhaoheng Ni, Apoorv Vyas, Maryam Fazel-Zarandi, Alexei Baevski, Yossi Adi, Xiaohui Zhang, Wei-Ning Hsu, Alexis Conneau, Michael Auli:
Scaling Speech Technology to 1, 000+ Languages. J. Mach. Learn. Res. 25: 97:1-97:52 (2024) - [i70]Jinming Zhao, Vineel Pratap, Michael Auli:
Scaling A Simple Approach to Zero-Shot Speech Recognition. CoRR abs/2407.17852 (2024) - [i69]Brian Yan, Vineel Pratap, Shinji Watanabe, Michael Auli:
Improving Multilingual ASR in the Wild Using Simple N-best Re-ranking. CoRR abs/2409.18428 (2024) - 2023
- [c74]Changhan Wang, Hirofumi Inaguma, Peng-Jen Chen, Ilia Kulikov, Yun Tang, Wei-Ning Hsu, Michael Auli, Juan Pino:
Simple and Effective Unsupervised Speech Translation. ACL (1) 2023: 10771-10784 - [c73]Jiachen Lian, Alexei Baevski, Wei-Ning Hsu, Michael Auli:
Av-Data2Vec: Self-Supervised Learning of Audio-Visual Speech Representations with Contextualized Target Representations. ASRU 2023: 1-8 - [c72]Ju-Chieh Chou, Chung-Ming Chien, Wei-Ning Hsu, Karen Livescu, Arun Babu, Alexis Conneau, Alexei Baevski, Michael Auli:
Toward Joint Language Modeling for Speech Units and Text. EMNLP (Findings) 2023: 6582-6593 - [c71]Ramon Sanabria, Wei-Ning Hsu, Alexei Baevski, Michael Auli:
Measuring the Impact of Domain Factors in Self-Supervised Pre-Training. ICASSP Workshops 2023: 1-5 - [c70]Alexei Baevski, Arun Babu, Wei-Ning Hsu, Michael Auli:
Efficient Self-supervised Learning with Contextualized Target Representations for Vision, Speech and Language. ICML 2023: 1416-1429 - [c69]Alexander H. Liu, Heng-Jui Chang, Michael Auli, Wei-Ning Hsu, James R. Glass:
DinoSR: Self-Distillation and Online Clustering for Self-supervised Speech Representation Learning. NeurIPS 2023 - [i68]Jiachen Lian, Alexei Baevski, Wei-Ning Hsu, Michael Auli:
AV-data2vec: Self-supervised Learning of Audio-Visual Speech Representations with Contextualized Target Representations. CoRR abs/2302.06419 (2023) - [i67]Alexander H. Liu, Heng-Jui Chang, Michael Auli, Wei-Ning Hsu, James R. Glass:
DinoSR: Self-Distillation and Online Clustering for Self-supervised Speech Representation Learning. CoRR abs/2305.10005 (2023) - [i66]Vineel Pratap, Andros Tjandra, Bowen Shi, Paden Tomasello, Arun Babu, Sayani Kundu, Ali Elkahky, Zhaoheng Ni, Apoorv Vyas, Maryam Fazel-Zarandi, Alexei Baevski, Yossi Adi, Xiaohui Zhang, Wei-Ning Hsu, Alexis Conneau, Michael Auli:
Scaling Speech Technology to 1, 000+ Languages. CoRR abs/2305.13516 (2023) - [i65]Ju-Chieh Chou, Chung-Ming Chien, Wei-Ning Hsu, Karen Livescu, Arun Babu, Alexis Conneau, Alexei Baevski, Michael Auli:
Toward Joint Language Modeling for Speech Units and Text. CoRR abs/2310.08715 (2023) - 2022
- [c68]Yun Tang, Hongyu Gong, Ning Dong, Changhan Wang, Wei-Ning Hsu, Jiatao Gu, Alexei Baevski, Xian Li, Abdelrahman Mohamed, Michael Auli, Juan Miguel Pino:
Unified Speech-Text Pre-training for Speech Translation and Recognition. ACL (1) 2022: 1488-1499 - [c67]Andros Tjandra, Diptanu Gon Choudhury, Frank Zhang, Kritika Singh, Alexis Conneau, Alexei Baevski, Assaf Sela, Yatharth Saraf, Michael Auli:
Improved Language Identification Through Cross-Lingual Self-Supervised Learning. ICASSP 2022: 6877-6881 - [c66]Alexei Baevski, Wei-Ning Hsu, Qiantong Xu, Arun Babu, Jiatao Gu, Michael Auli:
data2vec: A General Framework for Self-supervised Learning in Speech, Vision and Language. ICML 2022: 1298-1312 - [c65]Alexander H. Liu, Cheng-I Lai, Wei-Ning Hsu, Michael Auli, Alexei Baevski, James R. Glass:
Simple and Effective Unsupervised Speech Synthesis. INTERSPEECH 2022: 843-847 - [c64]Qiantong Xu, Alexei Baevski, Michael Auli:
Simple and Effective Zero-shot Cross-lingual Phoneme Recognition. INTERSPEECH 2022: 2113-2117 - [c63]Arun Babu, Changhan Wang, Andros Tjandra, Kushal Lakhotia, Qiantong Xu, Naman Goyal, Kritika Singh, Patrick von Platen, Yatharth Saraf, Juan Pino, Alexei Baevski, Alexis Conneau, Michael Auli:
XLS-R: Self-supervised Cross-lingual Speech Representation Learning at Scale. INTERSPEECH 2022: 2278-2282 - [c62]Apoorv Vyas, Wei-Ning Hsu, Michael Auli, Alexei Baevski:
On-demand compute reduction with stochastic wav2vec 2.0. INTERSPEECH 2022: 3048-3052 - [c61]Alexis Conneau, Ankur Bapna, Yu Zhang, Min Ma, Patrick von Platen, Anton Lozhkov, Colin Cherry, Ye Jia, Clara Rivera, Mihir Kale, Daan van Esch, Vera Axelrod, Simran Khanuja, Jonathan H. Clark, Orhan Firat, Michael Auli, Sebastian Ruder, Jason Riesa, Melvin Johnson:
XTREME-S: Evaluating Cross-lingual Speech Representations. INTERSPEECH 2022: 3248-3252 - [c60]Anuroop Sriram, Michael Auli, Alexei Baevski:
Wav2Vec-Aug: Improved self-supervised training with limited data. INTERSPEECH 2022: 4950-4954 - [c59]Po-Yao Huang, Hu Xu, Juncheng Li, Alexei Baevski, Michael Auli, Wojciech Galuba, Florian Metze, Christoph Feichtenhofer:
Masked Autoencoders that Listen. NeurIPS 2022 - [c58]Alexander H. Liu, Wei-Ning Hsu, Michael Auli, Alexei Baevski:
Towards End-to-End Unsupervised Speech Recognition. SLT 2022: 221-228 - [i64]Alexei Baevski, Wei-Ning Hsu, Qiantong Xu, Arun Babu, Jiatao Gu, Michael Auli:
data2vec: A General Framework for Self-supervised Learning in Speech, Vision and Language. CoRR abs/2202.03555 (2022) - [i63]Ramon Sanabria, Wei-Ning Hsu, Alexei Baevski, Michael Auli:
Measuring the Impact of Individual Domain Factors in Self-Supervised Pre-Training. CoRR abs/2203.00648 (2022) - [i62]Alexis Conneau, Ankur Bapna, Yu Zhang, Min Ma, Patrick von Platen, Anton Lozhkov, Colin Cherry, Ye Jia, Clara Rivera, Mihir Kale, Daan van Esch, Vera Axelrod, Simran Khanuja, Jonathan H. Clark, Orhan Firat, Michael Auli, Sebastian Ruder, Jason Riesa, Melvin Johnson:
XTREME-S: Evaluating Cross-lingual Speech Representations. CoRR abs/2203.10752 (2022) - [i61]Alexander H. Liu, Wei-Ning Hsu, Michael Auli, Alexei Baevski:
Towards End-to-end Unsupervised Speech Recognition. CoRR abs/2204.02492 (2022) - [i60]Alexander H. Liu, Cheng-I Jeff Lai, Wei-Ning Hsu, Michael Auli, Alexei Baevski, James R. Glass:
Simple and Effective Unsupervised Speech Synthesis. CoRR abs/2204.02524 (2022) - [i59]Yun Tang, Hongyu Gong, Ning Dong, Changhan Wang, Wei-Ning Hsu, Jiatao Gu, Alexei Baevski, Xian Li, Abdelrahman Mohamed, Michael Auli, Juan Miguel Pino:
Unified Speech-Text Pre-training for Speech Translation and Recognition. CoRR abs/2204.05409 (2022) - [i58]Apoorv Vyas, Wei-Ning Hsu, Michael Auli, Alexei Baevski:
On-demand compute reduction with stochastic wav2vec 2.0. CoRR abs/2204.11934 (2022) - [i57]Anuroop Sriram
, Michael Auli, Alexei Baevski:
Wav2Vec-Aug: Improved self-supervised training with limited data. CoRR abs/2206.13654 (2022) - [i56]Po-Yao Huang, Hu Xu, Juncheng Li, Alexei Baevski, Michael Auli, Wojciech Galuba, Florian Metze, Christoph Feichtenhofer:
Masked Autoencoders that Listen. CoRR abs/2207.06405 (2022) - [i55]Changhan Wang, Hirofumi Inaguma, Peng-Jen Chen, Ilia Kulikov, Yun Tang, Wei-Ning Hsu, Michael Auli, Juan Pino:
Simple and Effective Unsupervised Speech Translation. CoRR abs/2210.10191 (2022) - [i54]Alexei Baevski, Arun Babu, Wei-Ning Hsu, Michael Auli:
Efficient Self-supervised Learning with Contextualized Target Representations for Vision, Speech and Language. CoRR abs/2212.07525 (2022) - 2021
- [j2]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, Michael Auli, Armand Joulin:
Beyond English-Centric Multilingual Machine Translation. J. Mach. Learn. Res. 22: 107:1-107:48 (2021) - [c57]Xian Li, Changhan Wang, Yun Tang, Chau Tran, Yuqing Tang, Juan Miguel Pino, Alexei Baevski, Alexis Conneau, Michael Auli:
Multilingual Speech Translation from Efficient Finetuning of Pretrained Models. ACL/IJCNLP (1) 2021: 827-838 - [c56]Sheng Shen, Alexei Baevski, Ari S. Morcos, Kurt Keutzer, Michael Auli, Douwe Kiela:
Reservoir Transformers. ACL/IJCNLP (1) 2021: 4294-4309 - [c55]Ann Lee, Michael Auli, Marc'Aurelio Ranzato:
Discriminative Reranking for Neural Machine Translation. ACL/IJCNLP (1) 2021: 7250-7264 - [c54]Jiajun Shen
The Source-Target Domain Mismatch Problem in Machine Translation. EACL 2021: 1519-1533 - [c53]Qiantong Xu, Alexei Baevski, Tatiana Likhomanenko, Paden Tomasello, Alexis Conneau, Ronan Collobert, Gabriel Synnaeve, Michael Auli:
Self-Training and Pre-Training are Complementary for Speech Recognition. ICASSP 2021: 3030-3034 - [c52]Henry Zhou, Alexei Baevski, Michael Auli:
A Comparison of Discrete Latent Variable Models for Speech Representation Learning. ICASSP 2021: 3050-3054 - [c51]Wei-Ning Hsu, Anuroop Sriram
Robust wav2vec 2.0: Analyzing Domain Shift in Self-Supervised Pre-Training. Interspeech 2021: 721-725 - [c50]Changhan Wang, Anne Wu, Juan Pino, Alexei Baevski, Michael Auli, Alexis Conneau:
Large-Scale Self- and Semi-Supervised Learning for Speech Translation. Interspeech 2021: 2242-2246 - [c49]Alexis Conneau, Alexei Baevski, Ronan Collobert, Abdelrahman Mohamed, Michael Auli:
Unsupervised Cross-Lingual Representation Learning for Speech Recognition. Interspeech 2021: 2426-2430 - [c48]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 - [c47]Alexei Baevski, Wei-Ning Hsu, Alexis Conneau, Michael Auli:
Unsupervised Speech Recognition. NeurIPS 2021: 27826-27839 - [i53]Zhiyi Ma, Sergey Edunov, Michael Auli:
A Comparison of Approaches to Document-level Machine Translation. CoRR abs/2101.11040 (2021) - [i52]Wei-Ning Hsu, Anuroop Sriram, Alexei Baevski, Tatiana Likhomanenko, Qiantong Xu, Vineel Pratap, Jacob Kahn, Ann Lee, Ronan Collobert, Gabriel Synnaeve, Michael Auli:
Robust wav2vec 2.0: Analyzing Domain Shift in Self-Supervised Pre-Training. CoRR abs/2104.01027 (2021) - [i51]Changhan Wang, Anne Wu, Juan Miguel Pino, Alexei Baevski, Michael Auli, Alexis Conneau:
Large-Scale Self- and Semi-Supervised Learning for Speech Translation. CoRR abs/2104.06678 (2021) - [i50]Alexei Baevski, Wei-Ning Hsu, Alexis Conneau, Michael Auli:
Unsupervised Speech Recognition. CoRR abs/2105.11084 (2021) - [i49]Andros Tjandra, Diptanu Gon Choudhury, Frank Zhang, Kritika Singh, Alexei Baevski, Assaf Sela, Yatharth Saraf, Michael Auli:
Improved Language Identification Through Cross-Lingual Self-Supervised Learning. CoRR abs/2107.04082 (2021) - [i48]Qiantong Xu, Alexei Baevski, Michael Auli:
Simple and Effective Zero-shot Cross-lingual Phoneme Recognition. CoRR abs/2109.11680 (2021) - [i47]Arun Babu, Changhan Wang, Andros Tjandra, Kushal Lakhotia, Qiantong Xu, Naman Goyal, Kritika Singh, Patrick von Platen, Yatharth Saraf, Juan Pino, Alexei Baevski, Alexis Conneau, Michael Auli:
XLS-R: Self-supervised Cross-lingual Speech Representation Learning at Scale. CoRR abs/2111.09296 (2021) - 2020
- [j1]Dario Pavllo, Christoph Feichtenhofer, Michael Auli
Modeling Human Motion with Quaternion-Based Neural Networks. Int. J. Comput. Vis. 128(4): 855-872 (2020) - [c46]Sergey Edunov, Myle Ott, Marc'Aurelio Ranzato, Michael Auli:
On The Evaluation of Machine Translation SystemsTrained With Back-Translation. ACL 2020: 2836-2846 - [c45]Jiaming Song, Yann N. Dauphin, Michael Auli, Tengyu Ma:
Robust and On-the-Fly Dataset Denoising for Image Classification. ECCV (29) 2020: 556-572 - [c44]Alexei Baevski, Steffen Schneider, Michael Auli:
vq-wav2vec: Self-Supervised Learning of Discrete Speech Representations. ICLR 2020 - [c43]Maha Elbayad, Jiatao Gu, Edouard Grave, Michael Auli:
Depth-Adaptive Transformer. ICLR 2020 - [c42]Alexei Baevski, Yuhao Zhou, Abdelrahman Mohamed, Michael Auli:
wav2vec 2.0: A Framework for Self-Supervised Learning of Speech Representations. NeurIPS 2020 - [c41]Shruti Bhosale, Kyra Yee, Sergey Edunov, Michael Auli:
Language Models not just for Pre-training: Fast Online Neural Noisy Channel Modeling. WMT@EMNLP 2020: 584-593 - [i46]Jiaming Song, Lunjia Hu, Yann N. Dauphin, Michael Auli, Tengyu Ma:
Robust and On-the-fly Dataset Denoising for Image Classification. CoRR abs/2003.10647 (2020) - [i45]Alexei Baevski, Henry Zhou, Abdelrahman Mohamed, Michael Auli:
wav2vec 2.0: A Framework for Self-Supervised Learning of Speech Representations. CoRR abs/2006.11477 (2020) - [i44]Alexis Conneau, Alexei Baevski, Ronan Collobert, Abdelrahman Mohamed, Michael Auli:
Unsupervised Cross-lingual Representation Learning for Speech Recognition. CoRR abs/2006.13979 (2020) - [i43]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) - [i42]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) - [i41]Qiantong Xu, Alexei Baevski, Tatiana Likhomanenko, Paden Tomasello, Alexis Conneau, Ronan Collobert, Gabriel Synnaeve, Michael Auli:
Self-training and Pre-training are Complementary for Speech Recognition. CoRR abs/2010.11430 (2020) - [i40]Henry Zhou, Alexei Baevski, Michael Auli:
A Comparison of Discrete Latent Variable Models for Speech Representation Learning. CoRR abs/2010.14230 (2020) - [i39]Shruti Bhosale, Kyra Yee, Sergey Edunov, Michael Auli:
Language Models not just for Pre-training: Fast Online Neural Noisy Channel Modeling. CoRR abs/2011.07164 (2020) - [i38]Sheng Shen, Alexei Baevski, Ari S. Morcos, Kurt Keutzer, Michael Auli, Douwe Kiela:
Reservoir Transformer. CoRR abs/2012.15045 (2020)
2010 – 2019
- 2019
- [c40]Angela Fan, Yacine Jernite, Ethan Perez, David Grangier, Jason Weston, Michael Auli:
ELI5: Long Form Question Answering. ACL (1) 2019: 3558-3567 - [c39]Dario Pavllo, Christoph Feichtenhofer, David Grangier, Michael Auli:
3D Human Pose Estimation in Video With Temporal Convolutions and Semi-Supervised Training. CVPR 2019: 7753-7762 - [c38]Alexei Baevski, Sergey Edunov, Yinhan Liu, Luke Zettlemoyer, Michael Auli:
Cloze-driven Pretraining of Self-attention Networks. EMNLP/IJCNLP (1) 2019: 5359-5368 - [c37]Kyra Yee, Yann N. Dauphin, Michael Auli:
Simple and Effective Noisy Channel Modeling for Neural Machine Translation. EMNLP/IJCNLP (1) 2019: 5695-5700 - [c36]Alexei Baevski, Michael Auli:
Adaptive Input Representations for Neural Language Modeling. ICLR (Poster) 2019 - [c35]Emily Dinan, Stephen Roller, Kurt Shuster, Angela Fan, Michael Auli, Jason Weston:
Wizard of Wikipedia: Knowledge-Powered Conversational Agents. ICLR (Poster) 2019 - [c34]Felix Wu, Angela Fan, Alexei Baevski, Yann N. Dauphin, Michael Auli:
Pay Less Attention with Lightweight and Dynamic Convolutions. ICLR 2019 - [c33]Tianxiao Shen, Myle Ott, Michael Auli, Marc'Aurelio Ranzato:
Mixture Models for Diverse Machine Translation: Tricks of the Trade. ICML 2019: 5719-5728 - [c32]Steffen Schneider, Alexei Baevski, Ronan Collobert, Michael Auli:
wav2vec: Unsupervised Pre-Training for Speech Recognition. INTERSPEECH 2019: 3465-3469 - [c31]Myle Ott, Sergey Edunov, Alexei Baevski, Angela Fan, Sam Gross, Nathan Ng, David Grangier, Michael Auli:
fairseq: A Fast, Extensible Toolkit for Sequence Modeling. NAACL-HLT (Demonstrations) 2019: 48-53 - [c30]Sergey Edunov, Alexei Baevski, Michael Auli:
Pre-trained language model representations for language generation. NAACL-HLT (1) 2019: 4052-4059 - [c29]Nathan Ng, Kyra Yee, Alexei Baevski, Myle Ott, Michael Auli, Sergey Edunov:
Facebook FAIR's WMT19 News Translation Task Submission. WMT (2) 2019: 314-319 - [i37]Dario Pavllo, Christoph Feichtenhofer, Michael Auli, David Grangier:
Modeling Human Motion with Quaternion-based Neural Networks. CoRR abs/1901.07677 (2019) - [i36]Felix Wu, Angela Fan, Alexei Baevski, Yann N. Dauphin, Michael Auli:
Pay Less Attention with Lightweight and Dynamic Convolutions. CoRR abs/1901.10430 (2019) - [i35]Tianxiao Shen, Myle Ott, Michael Auli, Marc'Aurelio Ranzato:
Mixture Models for Diverse Machine Translation: Tricks of the Trade. CoRR abs/1902.07816 (2019) - [i34]Alexei Baevski, Sergey Edunov, Yinhan Liu, Luke Zettlemoyer, Michael Auli:
Cloze-driven Pretraining of Self-attention Networks. CoRR abs/1903.07785 (2019) - [i33]Sergey Edunov, Alexei Baevski, Michael Auli:
Pre-trained Language Model Representations for Language Generation. CoRR abs/1903.09722 (2019) - [i32]Myle Ott, Sergey Edunov, Alexei Baevski, Angela Fan, Sam Gross, Nathan Ng, David Grangier, Michael Auli:
fairseq: A Fast, Extensible Toolkit for Sequence Modeling. CoRR abs/1904.01038 (2019) - [i31]Steffen Schneider, Alexei Baevski, Ronan Collobert, Michael Auli:
wav2vec: Unsupervised Pre-training for Speech Recognition. CoRR abs/1904.05862 (2019) - [i30]Sidak Pal Singh, Angela Fan, Michael Auli:
GLOSS: Generative Latent Optimization of Sentence Representations. CoRR abs/1907.06385 (2019) - [i29]Nathan Ng, Kyra Yee, Alexei Baevski, Myle Ott, Michael Auli, Sergey Edunov:
Facebook FAIR's WMT19 News Translation Task Submission. CoRR abs/1907.06616 (2019) - [i28]Angela Fan, Yacine Jernite, Ethan Perez, David Grangier, Jason Weston, Michael Auli:
ELI5: Long Form Question Answering. CoRR abs/1907.09190 (2019) - [i27]Sergey Edunov, Myle Ott, Marc'Aurelio Ranzato, Michael Auli:
On The Evaluation of Machine Translation Systems Trained With Back-Translation. CoRR abs/1908.05204 (2019) - [i26]Kyra Yee, Nathan Ng, Yann N. Dauphin, Michael Auli:
Simple and Effective Noisy Channel Modeling for Neural Machine Translation. CoRR abs/1908.05731 (2019) - [i25]Jiajun Shen, Peng-Jen Chen, Matt Le, Junxian He, Jiatao Gu, Myle Ott, Michael Auli, Marc'Aurelio Ranzato:
The Source-Target Domain Mismatch Problem in Machine Translation. CoRR abs/1909.13151 (2019) - [i24]Alexei Baevski, Steffen Schneider, Michael Auli:
vq-wav2vec: Self-Supervised Learning of Discrete Speech Representations. CoRR abs/1910.05453 (2019) - [i23]Maha Elbayad
Depth-Adaptive Transformer. CoRR abs/1910.10073 (2019) - [i22]Alexei Baevski, Michael Auli, Abdelrahman Mohamed:
Effectiveness of self-supervised pre-training for speech recognition. CoRR abs/1911.03912 (2019) - [i21]Xinyi Wang, Jason Weston, Michael Auli, Yacine Jernite:
Improving Conditioning in Context-Aware Sequence to Sequence Models. CoRR abs/1911.09728 (2019) - 2018
- [c28]Angela Fan, David Grangier, Michael Auli:
Controllable Abstractive Summarization. NMT@ACL 2018: 45-54 - [c27]Dario Pavllo, David Grangier, Michael Auli:
QuaterNet: A Quaternion-based Recurrent Model for Human Motion. BMVC 2018: 299 - [c26]Sergey Edunov, Myle Ott, Michael Auli, David Grangier:
Understanding Back-Translation at Scale. EMNLP 2018: 489-500 - [c25]Myle Ott, Michael Auli, David Grangier, Marc'Aurelio Ranzato:
Analyzing Uncertainty in Neural Machine Translation. ICML 2018: 3953-3962 - [c24]David Grangier, Michael Auli:
QuickEdit: Editing Text & Translations by Crossing Words Out. NAACL-HLT 2018: 272-282 - [c23]Sergey Edunov, Myle Ott, Michael Auli, David Grangier, Marc'Aurelio Ranzato:
Classical Structured Prediction Losses for Sequence to Sequence Learning. NAACL-HLT 2018: 355-364 - [c22]Myle Ott, Sergey Edunov, David Grangier, Michael Auli:
Scaling Neural Machine Translation. WMT 2018: 1-9 - [i20]Myle Ott, Michael Auli, David Grangier, Marc'Aurelio Ranzato:
Analyzing Uncertainty in Neural Machine Translation. CoRR abs/1803.00047 (2018) - [i19]Dario Pavllo, David Grangier, Michael Auli:
QuaterNet: A Quaternion-based Recurrent Model for Human Motion. CoRR abs/1805.06485 (2018) - [i18]Myle Ott, Sergey Edunov, David Grangier, Michael Auli:
Scaling Neural Machine Translation. CoRR abs/1806.00187 (2018) - [i17]Sergey Edunov, Myle Ott, Michael Auli, David Grangier:
Understanding Back-Translation at Scale. CoRR abs/1808.09381 (2018) - [i16]Alexei Baevski, Michael Auli:
Adaptive Input Representations for Neural Language Modeling. CoRR abs/1809.10853 (2018) - [i15]Emily Dinan, Stephen Roller, Kurt Shuster
Wizard of Wikipedia: Knowledge-Powered Conversational agents. CoRR abs/1811.01241 (2018) - [i14]Dario Pavllo, Christoph Feichtenhofer, David Grangier, Michael Auli:
3D human pose estimation in video with temporal convolutions and semi-supervised training. CoRR abs/1811.11742 (2018) - 2017
- [c21]Jonas Gehring, Michael Auli, David Grangier, Yann N. Dauphin:
A Convolutional Encoder Model for Neural Machine Translation. ACL (1) 2017: 123-135 - [c20]Yann N. Dauphin, Angela Fan, Michael Auli, David Grangier:
Language Modeling with Gated Convolutional Networks. ICML 2017: 933-941 - [c19]Jonas Gehring, Michael Auli, David Grangier, Denis Yarats, Yann N. Dauphin:
Convolutional Sequence to Sequence Learning. ICML 2017: 1243-1252 - [i13]Jonas Gehring, Michael Auli, David Grangier, Denis Yarats, Yann N. Dauphin:
Convolutional Sequence to Sequence Learning. CoRR abs/1705.03122 (2017) - [i12]David Grangier, Michael Auli:
QuickEdit: Editing Text & Translations via Simple Delete Actions. CoRR abs/1711.04805 (2017) - [i11]Sergey Edunov, Myle Ott, Michael Auli, David Grangier, Marc'Aurelio Ranzato:
Classical Structured Prediction Losses for Sequence to Sequence Learning. CoRR abs/1711.04956 (2017) - [i10]Angela Fan, David Grangier, Michael Auli:
Controllable Abstractive Summarization. CoRR abs/1711.05217 (2017) - 2016
- [c18]Wenlin Chen, David Grangier, Michael Auli:
Strategies for Training Large Vocabulary Neural Language Models. ACL (1) 2016 - [c17]Rémi Lebret, David Grangier, Michael Auli:
Neural Text Generation from Structured Data with Application to the Biography Domain. EMNLP 2016: 1203-1213 - [c16]Sumit Chopra, Michael Auli, Alexander M. Rush
Abstractive Sentence Summarization with Attentive Recurrent Neural Networks. HLT-NAACL 2016: 93-98 - [c15]Wenduan Xu, Michael Auli, Stephen Clark:
Expected F-Measure Training for Shift-Reduce Parsing with Recurrent Neural Networks. HLT-NAACL 2016: 210-220 - [c14]Joël Legrand, Michael Auli, Ronan Collobert:
Neural Network-based Word Alignment through Score Aggregation. WMT 2016: 66-73 - [c13]Marc'Aurelio Ranzato, Sumit Chopra, Michael Auli, Wojciech Zaremba:
Sequence Level Training with Recurrent Neural Networks. ICLR (Poster) 2016 - [i9]Rémi Lebret, David Grangier, Michael Auli:
Generating Text from Structured Data with Application to the Biography Domain. CoRR abs/1603.07771 (2016) - [i8]Joël Legrand, Michael Auli, Ronan Collobert:
Neural Network-based Word Alignment through Score Aggregation. CoRR abs/1606.09560 (2016) - [i7]Gurvan L'Hostis, David Grangier, Michael Auli:
Vocabulary Selection Strategies for Neural Machine Translation. CoRR abs/1610.00072 (2016) - [i6]Roman Novak, Michael Auli, David Grangier:
Iterative Refinement for Machine Translation. CoRR abs/1610.06602 (2016) - [i5]Jonas Gehring, Michael Auli, David Grangier, Yann N. Dauphin:
A Convolutional Encoder Model for Neural Machine Translation. CoRR abs/1611.02344 (2016) - [i4]Yann N. Dauphin, Angela Fan, Michael Auli, David Grangier:
Language Modeling with Gated Convolutional Networks. CoRR abs/1612.08083 (2016) - 2015
- [c12]Wenduan Xu, Michael Auli, Stephen Clark:
CCG Supertagging with a Recurrent Neural Network. ACL (2) 2015: 250-255 - [c11]Michel Galley, Chris Brockett
deltaBLEU: A Discriminative Metric for Generation Tasks with Intrinsically Diverse Targets. ACL (2) 2015: 445-450 - [c10]Alessandro Sordoni, Michel Galley, Michael Auli, Chris Brockett
A Neural Network Approach to Context-Sensitive Generation of Conversational Responses. HLT-NAACL 2015: 196-205 - [c9]Kai Zhao, Hany Hassan, Michael Auli:
Learning Translation Models from Monolingual Continuous Representations. HLT-NAACL 2015: 1527-1536 - [i3]Alessandro Sordoni, Michel Galley, Michael Auli, Chris Brockett, Yangfeng Ji, Margaret Mitchell, Jian-Yun Nie, Jianfeng Gao, Bill Dolan:
A Neural Network Approach to Context-Sensitive Generation of Conversational Responses. CoRR abs/1506.06714 (2015) - [i2]Michel Galley, Chris Brockett, Alessandro Sordoni, Yangfeng Ji, Michael Auli, Chris Quirk, Margaret Mitchell, Jianfeng Gao, Bill Dolan:
deltaBLEU: A Discriminative Metric for Generation Tasks with Intrinsically Diverse Targets. CoRR abs/1506.06863 (2015) - [i1]Wenlin Chen, David Grangier, Michael Auli:
Strategies for Training Large Vocabulary Neural Language Models. CoRR abs/1512.04906 (2015) - 2014
- [c8]Michael Auli, Jianfeng Gao:
Decoder Integration and Expected BLEU Training for Recurrent Neural Network Language Models. ACL (2) 2014: 136-142 - [c7]Yuening Hu, Michael Auli, Qin Gao, Jianfeng Gao:
Minimum Translation Modeling with Recurrent Neural Networks. EACL 2014: 20-29 - [c6]Michael Auli, Michel Galley, Jianfeng Gao:
Large-scale Expected BLEU Training of Phrase-based Reordering Models. EMNLP 2014: 1250-1260 - 2013
- [c5]Michael Auli, Michel Galley, Chris Quirk, Geoffrey Zweig:
Joint Language and Translation Modeling with Recurrent Neural Networks. EMNLP 2013: 1044-1054 - 2011
- [c4]Michael Auli, Adam Lopez:
A Comparison of Loopy Belief Propagation and Dual Decomposition for Integrated CCG Supertagging and Parsing. ACL 2011: 470-480 - [c3]Michael Auli, Adam Lopez:
Efficient CCG Parsing: A* versus Adaptive Supertagging. ACL 2011: 1577-1585 - [c2]Michael Auli, Adam Lopez:
Training a Log-Linear Parser with Loss Functions via Softmax-Margin. EMNLP 2011: 333-343
2000 – 2009
- 2009
- [c1]Michael Auli, Adam Lopez, Hieu Hoang, Philipp Koehn:
A Systematic Analysis of Translation Model Search Spaces. WMT@EACL 2009: 224-232
Coauthor Index
[j3] [c73] [c72] [c71] [c70] [i68] [i66] [i65] [c68] [c67] [c66] [c65] [c64] [c63] [c62] [c60] [c59] [c58] [i64] [i63] [i61] [i60] [i59] [i58] [i57] [i56] [i54] [c57] [c56] [c53] [c52] [c51] [c50] [c49] [c47] [i52] [i51] [i50] [i49] [i48] [i47] [c44] [c42] [i45] [i44] [i41] [i40] [i38] [c38] [c36] [c34] [c32] [c31] [c30] [c29] [i36] [i34] [i33] [i32] [i31] [i29] [i24] [i22] [i16]
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from ,
, and
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and
to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from .
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-10-18 19:31 CEST by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by: