← Authors

Ronan Collobert

35 papers · 2001–2025 · 9 conferences · across top CS/AI conferences

Achievements

πŸ—ΊοΈ Taxonomy Completionist (15) πŸƒ Academic Marathon (24) 🧭 Keyword Pioneer 🐣 Hot Topic Early Bird 🐝 Cross-Pollinator (12) 🌈 Renaissance Researcher (5) πŸŒ‰ Interdisciplinary Bridge 🌍 Conference Polyglot (9) 🌟 Keyword Trendsetter Combo (7) πŸ† Keyword Champion 🌱 Topic Pioneer 🧬 Topic Evolution 🀝 Dynamic Duo (15) πŸ”¬ Deep Specialist (13) πŸ“ˆ Trend Setter πŸš€ Conference Pioneer πŸ”₯ Unstoppable (6) ⚑ Prolific Year (5) ❓ The Questioner (2) πŸ—ƒοΈ Keyword Collector (139) πŸ’Ž Century Club (35)

Conferences

INTERSPEECH (13) ICML (5) NIPS (4) AISTATS (3) JMLR (3) ACL (2) CVPR (2) ICLR (2) EACL (1)

Top co-authors

Gabriel Synnaeve (15) Tatiana Likhomanenko (9) Qiantong Xu (9) Awni Hannun (8) Vineel Pratap (7) Jason Weston (6) Jacob Kahn (5) Michael Auli (3) Anuroop Sriram (3) David Grangier (3)

Keywords

convolutional neural network (10) automatic speech recognition (10) speech recognition (5) connectionist temporal classification (4) language model (4) word error rate (3) semi-supervised learning (3) representation learning (3) object detection (2) semantic segmentation (2) recurrent neural network (2) transductive learning (2) time-depth separable convolution (2) acoustic model (2) domain generalization (2) support vector machine (2) information retrieval (2) self-supervised learning (2) deep learning (2) convolutional language model (2)

Papers

No Need to Talk: Asynchronous Mixture of Language Models ICLR 2025
Continuous pseudo-labeling from the start ICLR 2023
Flashlight: Enabling Innovation in Tools for Machine Learning ICML 2022
Star Temporal Classification: Sequence Modeling with Partially Labeled Data NIPS 2022
Unsupervised Cross-Lingual Representation Learning for Speech Recognition INTERSPEECH 2021
CAPE: Encoding Relative Positions with Continuous Augmented Positional Embeddings NIPS 2021
slimIPL: Language-Model-Free Iterative Pseudo-Labeling INTERSPEECH 2021
Robust wav2vec 2.0: Analyzing Domain Shift in Self-Supervised Pre-Training INTERSPEECH 2021
Rethinking Evaluation in ASR: Are Our Models Robust Enough? INTERSPEECH 2021
Scaling Up Online Speech Recognition Using ConvNets INTERSPEECH 2020
Word-Level Speech Recognition With a Letter to Word Encoder ICML 2020
Iterative Pseudo-Labeling for Speech Recognition INTERSPEECH 2020
MLS: A Large-Scale Multilingual Dataset for Speech Research INTERSPEECH 2020
Massively Multilingual ASR: 50 Languages, 1 Model, 1 Billion Parameters INTERSPEECH 2020
Sequence-to-Sequence Speech Recognition with Time-Depth Separable Convolutions INTERSPEECH 2019
A fully differentiable beam search decoder ICML 2019
Who Needs Words? Lexicon-Free Speech Recognition INTERSPEECH 2019
wav2vec: Unsupervised Pre-Training for Speech Recognition INTERSPEECH 2019
End-to-End Speech Recognition from the Raw Waveform INTERSPEECH 2018
Deep Neural Networks for Syntactic Parsing of Morphologically Rich Languages ACL 2016
ProNet: Learning to Propose Object-Specific Boxes for Cascaded Neural Networks CVPR 2016
Jointly Learning to Locate and Classify Words Using Convolutional Networks INTERSPEECH 2016
Learning to Segment Object Candidates NIPS 2015
Phrase-based Image Captioning ICML 2015
From Image-Level to Pixel-Level Labeling With Convolutional Networks CVPR 2015
Recurrent Convolutional Neural Networks for Scene Labeling ICML 2014
Word Embeddings through Hellinger PCA EACL 2014
Natural Language Processing (Almost) from Scratch JMLR 2011
Deep Learning for Efficient Discriminative Parsing AISTATS 2011
Towards Understanding Situated Natural Language AISTATS 2010
Half Transductive Ranking AISTATS 2010
Polynomial Semantic Indexing NIPS 2009
Fast Semantic Extraction Using a Novel Neural Network Architecture ACL 2007
Large Scale Transductive SVMs JMLR 2006
SVMTorch: Support Vector Machines for Large-Scale Regression Problems JMLR 2001