Jean-Benoit Delbrouck | DeepAI

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∙ 09/14/2023

Clinical Text Summarization: Adapting Large Language Models Can Outperform Human Experts

Sifting through vast textual data and summarizing key information impose...

0 Dave Van Veen, et al. ∙

∙ 08/22/2023

ViLLA: Fine-Grained Vision-Language Representation Learning from Real-World Data

Vision-language models (VLMs), such as CLIP and ALIGN, are generally tra...

0 Maya Varma, et al. ∙

∙ 05/02/2023

RadAdapt: Radiology Report Summarization via Lightweight Domain Adaptation of Large Language Models

We systematically investigate lightweight strategies to adapt large lang...

0 Dave Van Veen, et al. ∙

∙ 11/23/2022

RoentGen: Vision-Language Foundation Model for Chest X-ray Generation

Multimodal models trained on large natural image-text pair datasets have...

0 Pierre Chambon, et al. ∙

∙ 11/15/2022

Toward expanding the scope of radiology report summarization to multiple anatomies and modalities

Radiology report summarization is a growing area of research. Given the ...

0 Jean-Benoit Delbrouck, et al. ∙

∙ 10/21/2022

Improving the Factual Correctness of Radiology Report Generation with Semantic Rewards

Neural image-to-text radiology report generation systems offer the poten...

0 Jean-Benoit Delbrouck, et al. ∙

∙ 03/24/2022

Domino: Discovering Systematic Errors with Cross-Modal Embeddings

Machine learning models that achieve high overall accuracy often make sy...

4 Sabri Eyuboglu, et al. ∙

∙ 10/05/2020

Modulated Fusion using Transformer for Linguistic-Acoustic Emotion Recognition

This paper aims to bring a new lightweight yet powerful solution for the...

0 Jean-Benoit Delbrouck, et al. ∙

∙ 06/29/2020

A Transformer-based joint-encoding for Emotion Recognition and Sentiment Analysis

Understanding expressed sentiment and emotions are two crucial factors i...

0 Jean-Benoit Delbrouck, et al. ∙

∙ 10/31/2019

Can adversarial training learn image captioning ?

Recently, generative adversarial networks (GAN) have gathered a lot of i...

0 Jean-Benoit Delbrouck, et al. ∙

∙ 10/08/2019

Modulated Self-attention Convolutional Network for VQA

As new data-sets for real-world visual reasoning and compositional quest...

0 Jean-Benoit Delbrouck, et al. ∙

∙ 10/07/2019

Adversarial reconstruction for Multi-modal Machine Translation

Even with the growing interest in problems at the intersection of Comput...

0 Jean-Benoit Delbrouck, et al. ∙

∙ 11/22/2018

Object-oriented Targets for Visual Navigation using Rich Semantic Representations

When searching for an object humans navigate through a scene using seman...

0 Jean-Benoit Delbrouck, et al. ∙

∙ 10/15/2018

Bringing back simplicity and lightliness into neural image captioning

Neural Image Captioning (NIC) or neural caption generation has attracted...

0 Jean-Benoit Delbrouck, et al. ∙

∙ 10/15/2018

UMONS Submission for WMT18 Multimodal Translation Task

This paper describes the UMONS solution for the Multimodal Machine Trans...

0 Jean-Benoit Delbrouck, et al. ∙

∙ 05/03/2018

Transformer for Emotion Recognition

This paper describes the UMONS solution for the OMG-Emotion Challenge. W...

0 Jean-Benoit Delbrouck, et al. ∙

∙ 12/09/2017

Modulating and attending the source image during encoding improves Multimodal Translation

We propose a new and fully end-to-end approach for multimodal translatio...

0 Jean-Benoit Delbrouck, et al. ∙

∙ 07/04/2017

Visually Grounded Word Embeddings and Richer Visual Features for Improving Multimodal Neural Machine Translation

In Multimodal Neural Machine Translation (MNMT), a neural model generate...

0 Jean-Benoit Delbrouck, et al. ∙

∙ 07/04/2017

An empirical study on the effectiveness of images in Multimodal Neural Machine Translation

In state-of-the-art Neural Machine Translation (NMT), an attention mecha...

0 Jean-Benoit Delbrouck, et al. ∙

∙ 03/23/2017

Multimodal Compact Bilinear Pooling for Multimodal Neural Machine Translation

In state-of-the-art Neural Machine Translation, an attention mechanism i...

0 Jean-Benoit Delbrouck, et al. ∙

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