activity
20172021
most citedDual-decoder Transformer for Joint Automatic Speech Recognition and Multilingual Speech Translation

22 citations · 27 across the 6 of their papers we have counts for

collaborators

13 papers

cs.CV2021

Effect Of Personalized Calibration On Gaze Estimation Using Deep-Learning

Nairit Bandyopadhyay, Sébastien Riou, Didier Schwab

With the increase in computation power and the development of new state-of-the-art deep learning algorithms, appearance-based gaze estimation is becoming more and more popular. It…

cs.CL2021

Lightweight Adapter Tuning for Multilingual Speech Translation

Hang Le, Juan Pino, Changhan Wang +3

Adapter modules were recently introduced as an efficient alternative to fine-tuning in NLP. Adapter tuning consists in freezing pretrained parameters of a model and injecting light…

cs.CL2021

Do Multilingual Neural Machine Translation Models Contain Language Pair Specific Attention Heads?

Zae Myung Kim, Laurent Besacier, Vassilina Nikoulina +1

Recent studies on the analysis of the multilingual representations focus on identifying whether there is an emergence of language-independent representations, or whether a multilin…

cs.CL202022 cited

Dual-decoder Transformer for Joint Automatic Speech Recognition and Multilingual Speech Translation

Hang Le, Juan Pino, Changhan Wang +3

We introduce dual-decoder Transformer, a new model architecture that jointly performs automatic speech recognition (ASR) and multilingual speech translation (ST). Our models are ba…

cs.IR2020

Learning Term Discrimination

Jibril Frej, Phillipe Mulhem, Didier Schwab +1

Document indexing is a key component for efficient information retrieval (IR). After preprocessing steps such as stemming and stop-word removal, document indexes usually store term…

cs.CL2019

FlauBERT: Unsupervised Language Model Pre-training for French

Hang Le, Loïc Vial, Jibril Frej +7

Language models have become a key step to achieve state-of-the art results in many different Natural Language Processing (NLP) tasks. Leveraging the huge amount of unlabeled texts…