Corentin Dancette
11 papers · 2018–2026 · 9 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
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🗺️ Taxonomy Completionist (30) 🏃 Academic Marathon · Sprint 🌍 Conference Polyglot · Silver 🌉 Interdisciplinary Bridge · Silver 🐣 Hot Topic Early Bird
🧭
Keyword Pioneer
🧬
Topic Evolution
📈
Trend Setter
🔥
Unstoppable · Bronze
🌈
Renaissance Researcher
(6)
💎
Century Club · Bronze
🗃️
Keyword Collector
(54)
Venues
Top co-authors
Research topics
Artificial Intelligence
(7)
Machine Learning
(6)
Core AI
(5)
Natural Language Processing
(4)
Application Areas
(4)
Applications · Natural Language Processing
(4)
Learning Paradigms
(4)
Learning Types · Machine Learning
(4)
Computer Vision
(3)
Deep Learning
(3)
Applications · Computer Vision
(3)
Learning Types · Deep Learning
(3)
Healthcare & Medicine
(1)
Reinforcement Learning
(1)
Speech & Audio
(1)
Keywords
visual question answering
(4)
multimodal learning
(4)
vision-language model
(2)
large language model
(2)
sampling strategy
(1)
out-of-distribution generalization
(1)
zero-shot learning
(1)
selective prediction
(1)
domain generalization
(1)
instruction following
(1)
question generation
(1)
deep learning
(1)
question answering
(1)
reinforcement learning from human feedback
(1)
fisher information
(1)
model alignment
(1)
magnetic resonance imaging
(1)
multi-objective learning
(1)
in-context learning
(1)
risk management
(1)
Papers
RadImageNet-VQA: A Large-Scale CT and MRI Dataset for Radiologic Visual Question Answering
MIDL 2026
RadSAM: Segmenting 3D radiological images with a 2D promptable model
MICCAI 2025
Beyond task performance: evaluating and reducing the flaws of large multimodal models with in-context-learning
ICLR 2024
Efficient Medical Question Answering with Knowledge-Augmented Question Generation
NAACL 2024
eP-ALM: Efficient Perceptual Augmentation of Language Models
ICCV 2023
Improving Selective Visual Question Answering by Learning From Your Peers
CVPR 2023
Rewarded soups: towards Pareto-optimal alignment by interpolating weights fine-tuned on diverse rewards
NeurIPS 2023
Fishr: Invariant Gradient Variances for Out-of-Distribution Generalization
ICML 2022
Beyond Question-Based Biases: Assessing Multimodal Shortcut Learning in Visual Question Answering
ICCV 2021
RUBi: Reducing Unimodal Biases for Visual Question Answering
NeurIPS 2019
Sampling Strategies in Siamese Networks for Unsupervised Speech Representation Learning
Interspeech 2018