Marie-Francine Moens

research

∙ 05/24/2023

Alleviating Exposure Bias in Diffusion Models through Sampling with Shifted Time Steps

Denoising Diffusion Probabilistic Models (DDPM) have shown remarkable ef...

0 Mingxiao Li, et al. ∙

research

∙ 05/12/2023

A Memory Model for Question Answering from Streaming Data Supported by Rehearsal and Anticipation of Coreference Information

Existing question answering methods often assume that the input content ...

4 Vladimir Araujo, et al. ∙

research

∙ 03/27/2023

An Information Extraction Study: Take In Mind the Tokenization!

Current research on the advantages and trade-offs of using characters, i...

0 Christos Theodoropoulos, et al. ∙

research

∙ 03/13/2023

Generating multiple-choice questions for medical question answering with distractors and cue-masking

Medical multiple-choice question answering (MCQA) is particularly diffic...

0 Damien Sileo, et al. ∙

research

∙ 02/24/2023

Implicit Temporal Reasoning for Evidence-Based Fact-Checking

Leveraging contextual knowledge has become standard practice in automate...

0 Liesbeth Allein, et al. ∙

research

∙ 12/12/2022

Optimizing ship detection efficiency in SAR images

The detection and prevention of illegal fishing is critical to maintaini...

0 Arthur Van Meerbeeck, et al. ∙

research

∙ 11/30/2022

Layout-aware Dreamer for Embodied Referring Expression Grounding

In this work, we study the problem of Embodied Referring Expression Grou...

0 Mingxiao Li, et al. ∙

research

∙ 11/24/2022

Bidirectional Representations for Low Resource Spoken Language Understanding

Most spoken language understanding systems use a pipeline approach compo...

0 Quentin Meeus, et al. ∙

research

∙ 11/24/2022

Multitask Learning for Low Resource Spoken Language Understanding

We explore the benefits that multitask learning offer to speech processi...

0 Quentin Meeus, et al. ∙

research

∙ 11/07/2022

Probing neural language models for understanding of words of estimative probability

Words of estimative probability (WEP) are expressions of a statement's p...

0 Damien Sileo, et al. ∙

research

∙ 10/17/2022

Weakly Supervised Face Naming with Symmetry-Enhanced Contrastive Loss

We revisit the weakly supervised cross-modal face-name alignment task; t...

0 Tingyu Qu, et al. ∙

research

∙ 10/09/2022

Students taught by multimodal teachers are superior action recognizers

The focal point of egocentric video understanding is modelling hand-obje...

0 Gorjan Radevski, et al. ∙

research

∙ 10/03/2022

How Relevant is Selective Memory Population in Lifelong Language Learning?

Lifelong language learning seeks to have models continuously learn multi...

12 Vladimir Araujo, et al. ∙

research

∙ 07/24/2022

Anti-Overestimation Dialogue Policy Learning for Task-Completion Dialogue System

A dialogue policy module is an essential part of task-completion dialogu...

0 Chang Tian, et al. ∙

research

∙ 04/18/2022

Entropy-based Stability-Plasticity for Lifelong Learning

The ability to continuously learn remains elusive for deep learning mode...

13 Vladimir Araujo, et al. ∙

research

∙ 03/17/2022

Finding Structural Knowledge in Multimodal-BERT

In this work, we investigate the knowledge learned in the embeddings of ...

0 Victor Milewski, et al. ∙

research

∙ 03/07/2022

Find a Way Forward: a Language-Guided Semantic Map Navigator

This paper attacks the problem of language-guided navigation in a new pe...

0 Zehao Wang, et al. ∙

research

∙ 03/06/2022

Modeling Coreference Relations in Visual Dialog

Visual dialog is a vision-language task where an agent needs to answer a...

0 Mingxiao Li, et al. ∙

research

∙ 03/06/2022

Dynamic Key-value Memory Enhanced Multi-step Graph Reasoning for Knowledge-based Visual Question Answering

Knowledge-based visual question answering (VQA) is a vision-language tas...

0 Mingxiao Li, et al. ∙

research

∙ 01/04/2022

Discrete and continuous representations and processing in deep learning: Looking forward

Discrete and continuous representations of content (e.g., of language or...

0 Ruben Cartuyvels, et al. ∙

research

∙ 12/29/2021

Two-phase training mitigates class imbalance for camera trap image classification with CNNs

By leveraging deep learning to automatically classify camera trap images...

0 Farjad Malik, et al. ∙

research

∙ 12/10/2021

Analysis and Prediction of NLP Models Via Task Embeddings

Task embeddings are low-dimensional representations that are trained to ...

0 Damien Sileo, et al. ∙

research

∙ 12/10/2021

Predicting Physical World Destinations for Commands Given to Self-Driving Cars

In recent years, we have seen significant steps taken in the development...

0 Dusan Grujicic, et al. ∙

research

∙ 11/02/2021

Revisiting spatio-temporal layouts for compositional action recognition

Recognizing human actions is fundamentally a spatio-temporal reasoning p...

0 Gorjan Radevski, et al. ∙

research

∙ 09/10/2021

Augmenting BERT-style Models with Predictive Coding to Improve Discourse-level Representations

Current language models are usually trained using a self-supervised sche...

0 Vladimir Araujo, et al. ∙

research

∙ 09/02/2021

Imposing Relation Structure in Language-Model Embeddings Using Contrastive Learning

Though language model text embeddings have revolutionized NLP research, ...

4 Christos Theodoropoulos, et al. ∙

research

∙ 08/31/2021

Like Article, Like Audience: Enforcing Multimodal Correlations for Disinformation Detection

User-generated content (e.g., tweets and profile descriptions) and share...

0 Liesbeth Allein, et al. ∙

research

∙ 06/13/2021

Towards Understanding Iterative Magnitude Pruning: Why Lottery Tickets Win

The lottery ticket hypothesis states that sparse subnetworks exist in ra...

0 Jaron Maene, et al. ∙

research

∙ 06/08/2021

Giving Commands to a Self-Driving Car: How to Deal with Uncertain Situations?

Current technology for autonomous cars primarily focuses on getting the ...

0 Thierry Deruyttere, et al. ∙

research

∙ 05/31/2021

LIIR at SemEval-2021 task 6: Detection of Persuasion Techniques In Texts and Images using CLIP features

We describe our approach for SemEval-2021 task 6 on detection of persuas...

0 Erfan Ghadery, et al. ∙

research

∙ 12/17/2020

Autoregressive Reasoning over Chains of Facts with Transformers

This paper proposes an iterative inference algorithm for multi-hop expla...

0 Ruben Cartuyvels, et al. ∙

research

∙ 09/25/2020

Are scene graphs good enough to improve Image Captioning?

Many top-performing image captioning models rely solely on object featur...

0 Victor Milewski, et al. ∙

research

∙ 09/18/2020

Commands 4 Autonomous Vehicles (C4AV) Workshop Summary

The task of visual grounding requires locating the most relevant region ...

10 Thierry Deruyttere, et al. ∙

research

∙ 09/10/2020

Time-Aware Evidence Ranking for Fact-Checking

Truth can vary over time. Therefore, fact-checking decisions on claim ve...

4 Liesbeth Allein, et al. ∙

research

∙ 08/20/2020

Checkworthiness in Automatic Claim Detection Models: Definitions and Analysis of Datasets

Public, professional and academic interest in automated fact-checking ha...

0 Liesbeth Allein, et al. ∙

research

∙ 07/07/2020

Structured (De)composable Representations Trained with Neural Networks

The paper proposes a novel technique for representing templates and inst...

0 Graham Spinks, et al. ∙

research

∙ 06/13/2020

Convolutional Generation of Textured 3D Meshes

Recent generative models for 2D images achieve impressive visual results...

7 Dario Pavllo, et al. ∙

research

∙ 05/13/2020

A Survey on Temporal Reasoning for Temporal Information Extraction from Text (Extended Abstract)

Time is deeply woven into how people perceive, and communicate about the...

0 Artuur Leeuwenberg, et al. ∙

research

∙ 05/07/2020

LIIR at SemEval-2020 Task 12: A Cross-Lingual Augmentation Approach for Multilingual Offensive Language Identification

This paper presents our system entitled `LIIR' for SemEval-2020 Task 12 ...

0 Erfan Ghadery, et al. ∙

research

∙ 03/19/2020

Giving Commands to a Self-driving Car: A Multimodal Reasoner for Visual Grounding

We propose a new spatial memory module and a spatial reasoner for the Vi...

6 Thierry Deruyttere, et al. ∙

research

∙ 01/09/2020

Binary and Multitask Classification Model for Dutch Anaphora Resolution: Die/Dat Prediction

The correct use of Dutch pronouns 'die' and 'dat' is a stumbling block f...

0 Liesbeth Allein, et al. ∙

research

∙ 01/05/2020

User Profiling Using Hinge-loss Markov Random Fields

A variety of approaches have been proposed to automatically infer the pr...

6 Golnoosh Farnadi, et al. ∙

research

∙ 09/24/2019

Talk2Car: Taking Control of Your Self-Driving Car

A long-term goal of artificial intelligence is to have an agent execute ...

20 Thierry Deruyttere, et al. ∙

research

∙ 08/28/2019

Attention-based Fusion for Outfit Recommendation

This paper describes an attention-based fusion method for outfit recomme...

4 Katrien Laenen, et al. ∙

research

∙ 07/12/2019

Justifying Diagnosis Decisions by Deep Neural Networks

An integrated approach is proposed across visual and textual data to bot...

7 Graham Spinks, et al. ∙

research

∙ 08/28/2018

Temporal Information Extraction by Predicting Relative Time-lines

The current leading paradigm for temporal information extraction from te...

0 Artuur Leeuwenberg, et al. ∙

research

∙ 08/07/2018

Word-Level Loss Extensions for Neural Temporal Relation Classification

Unsupervised pre-trained word embeddings are used effectively for many t...

0 Artuur Leeuwenberg, et al. ∙

research

∙ 05/19/2018

Do Neural Network Cross-Modal Mappings Really Bridge Modalities?

Feed-forward networks are widely used in cross-modal applications to bri...

0 Guillem Collell, et al. ∙

research

∙ 05/15/2018

Generating Continuous Representations of Medical Texts

We present an architecture that generates medical texts while learning a...

0 Graham Spinks, et al. ∙

research

∙ 11/18/2017

Acquiring Common Sense Spatial Knowledge through Implicit Spatial Templates

Spatial understanding is a fundamental problem with wide-reaching real-w...

0 Guillem Collell, et al. ∙

Marie-Francine Moens

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