Corentin Dancette | DeepAI

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∙ 07/30/2023

Unified Model for Image, Video, Audio and Language Tasks

Large Language Models (LLMs) have made the ambitious quest for generalis...

0 Mustafa Shukor, et al. ∙

∙ 06/14/2023

Improving Selective Visual Question Answering by Learning from Your Peers

Despite advances in Visual Question Answering (VQA), the ability of mode...

0 Corentin Dancette, et al. ∙

∙ 06/07/2023

Rewarded soups: towards Pareto-optimal alignment by interpolating weights fine-tuned on diverse rewards

Foundation models are first pre-trained on vast unsupervised datasets an...

0 Alexandre Ramé, et al. ∙

∙ 03/20/2023

eP-ALM: Efficient Perceptual Augmentation of Language Models

Large Language Models (LLMs) have so far impressed the world, with unpre...

0 Mustafa Shukor, et al. ∙

∙ 05/22/2022

Dynamic Query Selection for Fast Visual Perceiver

Transformers have been matching deep convolutional networks for vision a...

0 Corentin Dancette, et al. ∙

∙ 09/07/2021

Fishr: Invariant Gradient Variances for Out-of-distribution Generalization

Learning robust models that generalize well under changes in the data di...

0 Alexandre Ramé, et al. ∙

∙ 04/07/2021

Beyond Question-Based Biases: Assessing Multimodal Shortcut Learning in Visual Question Answering

We introduce an evaluation methodology for visual question answering (VQ...

0 Corentin Dancette, et al. ∙

∙ 06/17/2020

Overcoming Statistical Shortcuts for Open-ended Visual Counting

Machine learning models tend to over-rely on statistical shortcuts. Thes...

12 Corentin Dancette, et al. ∙

∙ 06/24/2019

RUBi: Reducing Unimodal Biases in Visual Question Answering

Visual Question Answering (VQA) is the task of answering questions about...

10 Rémi Cadene, et al. ∙

∙ 04/30/2018

Sampling strategies in Siamese Networks for unsupervised speech representation learning

Recent studies have investigated siamese network architectures for learn...

0 Rachid Riad, et al. ∙

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