Sébastien Jean | DeepAI

AI Chat

Featured Co-authors

Bo Li
461 publications
Yoshua Bengio
448 publications
Yu Zhang
406 publications
Yi Zhang
258 publications
Kyunghyun Cho
218 publications
Aaron Courville
152 publications
Ying Zhang
107 publications
Nikolaos Pappas
92 publications
Jiwei Li
89 publications
Razvan Pascanu
87 publications
Yuan Cao
85 publications

∙ 05/24/2023

Measuring and Mitigating Constraint Violations of In-Context Learning for Utterance-to-API Semantic Parsing

In executable task-oriented semantic parsing, the system aims to transla...

0 Shufan Wang, et al. ∙

∙ 10/30/2019

Fill in the Blanks: Imputing Missing Sentences for Larger-Context Neural Machine Translation

Most neural machine translation systems still translate sentences in iso...

0 Sébastien Jean, et al. ∙

∙ 09/13/2019

Adaptive Scheduling for Multi-Task Learning

To train neural machine translation models simultaneously on multiple ta...

29 Sébastien Jean, et al. ∙

∙ 03/12/2019

Context-Aware Learning for Neural Machine Translation

Interest in larger-context neural machine translation, including documen...

0 Sébastien Jean, et al. ∙

∙ 02/21/2019

Lingvo: a Modular and Scalable Framework for Sequence-to-Sequence Modeling

Lingvo is a Tensorflow framework offering a complete solution for collab...

13 Jonathan Shen, et al. ∙

∙ 04/17/2017

Does Neural Machine Translation Benefit from Larger Context?

We propose a neural machine translation architecture that models the sur...

0 Sébastien Jean, et al. ∙

∙ 01/23/2017

Adversarial Learning for Neural Dialogue Generation

In this paper, drawing intuition from the Turing test, we propose using ...

0 Jiwei Li, et al. ∙

∙ 05/09/2016

Theano: A Python framework for fast computation of mathematical expressions

Theano is a Python library that allows to define, optimize, and evaluate...

0 The Theano Development Team, et al. ∙

∙ 03/05/2015

EmoNets: Multimodal deep learning approaches for emotion recognition in video

The task of the emotion recognition in the wild (EmotiW) Challenge is to...

0 Samira Ebrahimi Kahou, et al. ∙

∙ 12/19/2014

Embedding Word Similarity with Neural Machine Translation

Neural language models learn word representations, or embeddings, that c...

0 Felix Hill, et al. ∙

∙ 12/05/2014

On Using Very Large Target Vocabulary for Neural Machine Translation

Neural machine translation, a recently proposed approach to machine tran...

0 Sébastien Jean, et al. ∙

∙ 10/02/2014

Not All Neural Embeddings are Born Equal

Neural language models learn word representations that capture rich ling...

0 Felix Hill, et al. ∙

Are you a researcher?
Expose your work
to one of the largest
A.I. communities in the world