Ronan Collobert
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
55
Venues
14
Active years
2004–2025
Best venue rank
A*
Where they publish
Papers
55 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | ICLR | No Need to Talk: Asynchronous Mixture of Language Models. | Anastasiia Filippova, Angelos Katharopoulos, David Grangier, Ronan Collobert |
| 2024 | ECCV | AV-CPL: Continuous Pseudo-labeling for Audio-Visual Speech Recognition. | Andrew Rouditchenko, Ronan Collobert, Tatiana Likhomanenko |
| 2023 | ICASSP | More Speaking or More Speakers? | Dan Berrebbi, Ronan Collobert, Navdeep Jaitly, Tatiana Likhomanenko |
| 2023 | ICLR | Continuous pseudo-labeling from the start. | Dan Berrebbi, Ronan Collobert, Samy Bengio, Navdeep Jaitly, Tatiana Likhomanenko |
| 2022 | ICASSP | Pseudo-Labeling for Massively Multilingual Speech Recognition. | Loren Lugosch, Tatiana Likhomanenko, Gabriel Synnaeve, Ronan Collobert |
| 2022 | ICASSP | Word Order does not Matter for Speech Recognition. | Vineel Pratap, Qiantong Xu, Tatiana Likhomanenko, Gabriel Synnaeve, Ronan Collobert |
| 2022 | ICML | Flashlight: Enabling Innovation in Tools for Machine Learning. | 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 |
| 2021 | ASRU | Kaizen: Continuously Improving Teacher Using Exponential Moving Average for Semi-Supervised Speech Recognition. | Vimal Manohar, Tatiana Likhomanenko, Qiantong Xu, Wei-Ning Hsu, Ronan Collobert, Yatharth Saraf, Geoffrey Zweig, Abdelrahman Mohamed |
| 2021 | ICASSP | Joint Masked CPC And CTC Training For ASR. | Chaitanya Talnikar, Tatiana Likhomanenko, Ronan Collobert, Gabriel Synnaeve |
| 2021 | ICASSP | Self-Training and Pre-Training are Complementary for Speech Recognition. | Qiantong Xu, Alexei Baevski, Tatiana Likhomanenko, Paden Tomasello, Alexis Conneau, Ronan Collobert, Gabriel Synnaeve, Michael Auli |
| 2021 | Interspeech | Unsupervised Cross-Lingual Representation Learning for Speech Recognition. | Alexis Conneau, Alexei Baevski, Ronan Collobert, Abdelrahman Mohamed, Michael Auli |
| 2021 | Interspeech | Robust wav2vec 2.0: Analyzing Domain Shift in Self-Supervised Pre-Training. | Wei-Ning Hsu, Anuroop Sriram, Alexei Baevski, Tatiana Likhomanenko, Qiantong Xu, Vineel Pratap, Jacob Kahn, Ann Lee, Ronan Collobert, Gabriel Synnaeve, Michael Auli |
| 2021 | Interspeech | slimIPL: Language-Model-Free Iterative Pseudo-Labeling. | Tatiana Likhomanenko, Qiantong Xu, Jacob Kahn, Gabriel Synnaeve, Ronan Collobert |
| 2021 | Interspeech | Rethinking Evaluation in ASR: Are Our Models Robust Enough? | Tatiana Likhomanenko, Qiantong Xu, Vineel Pratap, Paden Tomasello, Jacob Kahn, Gilad Avidov, Ronan Collobert, Gabriel Synnaeve |
| 2020 | ICASSP | Libri-Light: A Benchmark for ASR with Limited or No Supervision. | Jacob Kahn, Morgane Rivire, Weiyi Zheng, Evgeny Kharitonov, Qiantong Xu, Pierre-Emmanuel Mazar, Julien Karadayi, Vitaliy Liptchinsky, Ronan Collobert, Christian Fuegen, Tatiana Likhomanenko, Gabriel Synnaeve, Armand Joulin, Abdelrahman Mohamed, Emmanuel Dupoux |
| 2020 | ICML | Word-Level Speech Recognition With a Letter to Word Encoder. | Ronan Collobert, Awni Y. Hannun, Gabriel Synnaeve |
| 2020 | Interspeech | Massively Multilingual ASR: 50 Languages, 1 Model, 1 Billion Parameters. | Vineel Pratap, Anuroop Sriram, Paden Tomasello, Awni Y. Hannun, Vitaliy Liptchinsky, Gabriel Synnaeve, Ronan Collobert |
| 2020 | Interspeech | Scaling Up Online Speech Recognition Using ConvNets. | Vineel Pratap, Qiantong Xu, Jacob Kahn, Gilad Avidov, Tatiana Likhomanenko, Awni Y. Hannun, Vitaliy Liptchinsky, Gabriel Synnaeve, Ronan Collobert |
| 2020 | Interspeech | MLS: A Large-Scale Multilingual Dataset for Speech Research. | Vineel Pratap, Qiantong Xu, Anuroop Sriram, Gabriel Synnaeve, Ronan Collobert |
| 2020 | Interspeech | Iterative Pseudo-Labeling for Speech Recognition. | Qiantong Xu, Tatiana Likhomanenko, Jacob Kahn, Awni Y. Hannun, Gabriel Synnaeve, Ronan Collobert |
| 2019 | ICASSP | To Reverse the Gradient or Not: an Empirical Comparison of Adversarial and Multi-task Learning in Speech Recognition. | Yossi Adi, Neil Zeghidour, Ronan Collobert, Nicolas Usunier, Vitaliy Liptchinsky, Gabriel Synnaeve |
| 2019 | ICASSP | Wav2Letter++: A Fast Open-source Speech Recognition System. | Vineel Pratap, Awni Y. Hannun, Qiantong Xu, Jeff Cai, Jacob Kahn, Gabriel Synnaeve, Vitaliy Liptchinsky, Ronan Collobert |
| 2019 | ICML | A fully differentiable beam search decoder. | Ronan Collobert, Awni Y. Hannun, Gabriel Synnaeve |
| 2019 | Interspeech | Sequence-to-Sequence Speech Recognition with Time-Depth Separable Convolutions. | Awni Y. Hannun, Ann Lee, Qiantong Xu, Ronan Collobert |
| 2019 | Interspeech | Who Needs Words? Lexicon-Free Speech Recognition. | Tatiana Likhomanenko, Gabriel Synnaeve, Ronan Collobert |
| 2019 | Interspeech | wav2vec: Unsupervised Pre-Training for Speech Recognition. | Steffen Schneider, Alexei Baevski, Ronan Collobert, Michael Auli |
| 2018 | Interspeech | End-to-End Speech Recognition from the Raw Waveform. | Neil Zeghidour, Nicolas Usunier, Gabriel Synnaeve, Ronan Collobert, Emmanuel Dupoux |
| 2016 | ACL | Deep Neural Networks for Syntactic Parsing of Morphologically Rich Languages. | Jol Legrand, Ronan Collobert |
| 2016 | CVPR | ProNet: Learning to Propose Object-Specific Boxes for Cascaded Neural Networks. | Chen Sun, Manohar Paluri, Ronan Collobert, Ram Nevatia, Lubomir D. Bourdev |
| 2016 | ECCV | Learning to Refine Object Segments. | Pedro Oliveira Pinheiro, Tsung-Yi Lin, Ronan Collobert, Piotr Dollr |
| 2016 | Interspeech | Jointly Learning to Locate and Classify Words Using Convolutional Networks. | Dimitri Palaz, Gabriel Synnaeve, Ronan Collobert |
| 2015 | CICLING | Rehabilitation of Count-Based Models for Word Vector Representations. | Rmi Lebret, Ronan Collobert |
| 2015 | CVPR | From image-level to pixel-level labeling with Convolutional Networks. | Pedro H. O. Pinheiro, Ronan Collobert |
| 2015 | ICASSP | Convolutional Neural Networks-based continuous speech recognition using raw speech signal. | Dimitri Palaz, Mathew Magimai-Doss, Ronan Collobert |
| 2015 | ICML | Phrase-based Image Captioning. | Rmi Lebret, Pedro H. O. Pinheiro, Ronan Collobert |
| 2015 | Interspeech | Analysis of CNN-based speech recognition system using raw speech as input. | Dimitri Palaz, Mathew Magimai-Doss, Ronan Collobert |
| 2014 | EACL | Word Embeddings through Hellinger PCA. | Rmi Lebret, Ronan Collobert |
| 2014 | ECIR | Deep Learning for Character-Based Information Extraction. | Yanjun Qi, Sujatha G. Das, Ronan Collobert, Jason Weston |
| 2014 | ICML | Recurrent Convolutional Neural Networks for Scene Labeling. | Pedro H. O. Pinheiro, Ronan Collobert |
| 2013 | Interspeech | Estimating phoneme class conditional probabilities from raw speech signal using convolutional neural networks. | Dimitri Palaz, Ronan Collobert, Mathew Magimai-Doss |
| 2011 | AAAI | Learning Structured Embeddings of Knowledge Bases. | Antoine Bordes, Jason Weston, Ronan Collobert, Yoshua Bengio |
| 2009 | CIKM | Supervised semantic indexing. | Bing Bai, Jason Weston, David Grangier, Ronan Collobert, Kunihiko Sadamasa, Yanjun Qi, Olivier Chapelle, Kilian Q. Weinberger |
| 2009 | CIKM | Combining labeled and unlabeled data with word-class distribution learning. | Yanjun Qi, Ronan Collobert, Pavel P. Kuksa, Koray Kavukcuoglu, Jason Weston |
| 2009 | ECIR | Supervised Semantic Indexing. | Bing Bai, Jason Weston, Ronan Collobert, David Grangier |
| 2009 | ICDM | Semi-Supervised Sequence Labeling with Self-Learned Features. | Yanjun Qi, Pavel P. Kuksa, Ronan Collobert, Kunihiko Sadamasa, Koray Kavukcuoglu, Jason Weston |
| 2009 | ICML | Curriculum learning. | Yoshua Bengio, Jrme Louradour, Ronan Collobert, Jason Weston |
| 2009 | ICML | Deep learning from temporal coherence in video. | Hossein Mobahi, Ronan Collobert, Jason Weston |
| 2008 | ICML | A unified architecture for natural language processing: deep neural networks with multitask learning. | Ronan Collobert, Jason Weston |
| 2008 | ICML | Large scale manifold transduction. | Michael Karlen, Jason Weston, Ayse Erkan, Ronan Collobert |
| 2008 | ICML | Deep learning via semi-supervised embedding. | Jason Weston, Frdric Ratle, Ronan Collobert |
| 2007 | ACL | Fast Semantic Extraction Using a Novel Neural Network Architecture. | Ronan Collobert, Jason Weston |
| 2006 | ICML | Trading convexity for scalability. | Ronan Collobert, Fabian H. Sinz, Jason Weston, Lon Bottou |
| 2006 | ICML | Inference with the Universum. | Jason Weston, Ronan Collobert, Fabian H. Sinz, Lon Bottou, Vladimir Vapnik |
| 2004 | ICASSP | A gentle Hessian for efficient gradient descent. | Ronan Collobert, Samy Bengio |
| 2004 | ICML | Links between perceptrons, MLPs and SVMs. | Ronan Collobert, Samy Bengio |