Rémi Cadène - RankMe

39 papers A* 12A 1Journal 24Unranked 1

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	LeRobot: An Open-Source Library for End-to-End Robot Learning. CoRR Rémi Cadène, Simon Alibert, Francesco Capuano, Michel Aractingi, Adil Zouitine, Pepijn Kooijmans, Jade Choghari, Martino Russi, Caroline Pascal, Steven Palma, Mustafa Shukor, Jess Moss, Alexander Soare, Dana Aubakirova, Quentin Lhoest, Quentin Gallouédec, Thomas Wolf
2025	J	`jnl`	Back to the Baseline: Examining Baseline Effects on Explainability Metrics. CoRR Agustin Martin Picard, Thibaut Boissin, Varshini Subhash, Rémi Cadène, Thomas Fel
2025	J	`jnl`	SmolVLA: A Vision-Language-Action Model for Affordable and Efficient Robotics. CoRR Mustafa Shukor, Dana Aubakirova, Francesco Capuano, Pepijn Kooijmans, Steven Palma, Adil Zouitine, Michel Aractingi, Caroline Pascal, Martino Russi, Andrés Marafioti, Simon Alibert, Matthieu Cord, Thomas Wolf, Rémi Cadène
2023	A*	`conf`	A Holistic Approach to Unifying Automatic Concept Extraction and Concept Importance Estimation. NeurIPS Thomas Fel, Victor Boutin, Louis Béthune, Rémi Cadène, Mazda Moayeri, Léo Andéol, Mathieu Chalvidal, Thomas Serre
2023	J	`jnl`	A Holistic Approach to Unifying Automatic Concept Extraction and Concept Importance Estimation. CoRR Thomas Fel, Victor Boutin, Mazda Moayeri, Rémi Cadène, Louis Béthune, Léo Andéol, Mathieu Chalvidal, Thomas Serre
2023	A*	`conf`	CRAFT: Concept Recursive Activation FacTorization for Explainability. CVPR Thomas Fel, Agustin Martin Picard, Louis Béthune, Thibaut Boissin, David Vigouroux, Julien Colin, Rémi Cadène, Thomas Serre
2023	A*	`conf`	Don't Lie to Me! Robust and Efficient Explainability with Verified Perturbation Analysis. CVPR Thomas Fel, Melanie Ducoffe, David Vigouroux, Rémi Cadène, Mikael Capelle, Claire Nicodème, Thomas Serre
2023	A*	`conf`	Unlocking Feature Visualization for Deep Network with MAgnitude Constrained Optimization. NeurIPS Thomas Fel, Thibaut Boissin, Victor Boutin, Agustin M. Picard, Paul Novello, Julien Colin, Drew Linsley, Tom Rousseau, Rémi Cadène, Lore Goetschalckx, Laurent Gardes, Thomas Serre
2023	J	`jnl`	Unlocking Feature Visualization for Deeper Networks with MAgnitude Constrained Optimization. CoRR Thomas Fel, Thibaut Boissin, Victor Boutin, Agustin Martin Picard, Paul Novello, Julien Colin, Drew Linsley, Tom Rousseau, Rémi Cadène, Laurent Gardes, Thomas Serre
2022	J	`jnl`	CRAFT: Concept Recursive Activation FacTorization for Explainability. CoRR Thomas Fel, Agustin Martin Picard, Louis Béthune, Thibaut Boissin, David Vigouroux, Julien Colin, Rémi Cadène, Thomas Serre
2022	J	`jnl`	Don't Lie to Me! Robust and Efficient Explainability with Verified Perturbation Analysis. CoRR Thomas Fel, Melanie Ducoffe, David Vigouroux, Rémi Cadène, Mikael Capelle, Claire Nicodeme, Thomas Serre
2022	A	`conf`	How Good is your Explanation? Algorithmic Stability Measures to Assess the Quality of Explanations for Deep Neural Networks. WACV Thomas Fel, David Vigouroux, Rémi Cadène, Thomas Serre
2022	J	`jnl`	Understanding the Computational Demands Underlying Visual Reasoning. Neural Comput. Mohit Vaishnav, Rémi Cadène, Andrea Alamia, Drew Linsley, Rufin VanRullen, Thomas Serre
2022	A*	`conf`	What I Cannot Predict, I Do Not Understand: A Human-Centered Evaluation Framework for Explainability Methods. NeurIPS Julien Colin, Thomas Fel, Rémi Cadène, Thomas Serre
2022	J	`jnl`	Xplique: A Deep Learning Explainability Toolbox. CoRR Thomas Fel, Lucas Hervier, David Vigouroux, Antonin Poché, Justin Plakoo, Rémi Cadène, Mathieu Chalvidal, Julien Colin, Thibaut Boissin, Louis Béthune, Agustin Martin Picard, Claire Nicodeme, Laurent Gardes, Grégory Flandin, Thomas Serre
2021	A*	`conf`	Beyond Question-Based Biases: Assessing Multimodal Shortcut Learning in Visual Question Answering. ICCV Corentin Dancette, Rémi Cadène, Damien Teney, Matthieu Cord
2021	J	`jnl`	Beyond Question-Based Biases: Assessing Multimodal Shortcut Learning in Visual Question Answering. CoRR Corentin Dancette, Rémi Cadène, Damien Teney, Matthieu Cord
2021	A*	`conf`	Look at the Variance! Efficient Black-box Explanations with Sobol-based Sensitivity Analysis. NeurIPS Thomas Fel, Rémi Cadène, Mathieu Chalvidal, Matthieu Cord, David Vigouroux, Thomas Serre
2021	J	`jnl`	Look at the Variance! Efficient Black-box Explanations with Sobol-based Sensitivity Analysis. CoRR Thomas Fel, Rémi Cadène, Mathieu Chalvidal, Matthieu Cord, David Vigouroux, Thomas Serre
2021	J	`jnl`	Understanding the computational demands underlying visual reasoning. CoRR Mohit Vaishnav, Rémi Cadène, Andrea Alamia, Drew Linsley, Rufin VanRullen, Thomas Serre
2021	J	`jnl`	What I Cannot Predict, I Do Not Understand: A Human-Centered Evaluation Framework for Explainability Methods. CoRR Thomas Fel, Julien Colin, Rémi Cadène, Thomas Serre
2020	—	`—`	Deep Multimodal Learning for Vision and Language Processing. (Apprentissage Multimodal Profond pour le Traitement de la Vision et du Langage). Rémi Cadène
2020	J	`jnl`	Overcoming Statistical Shortcuts for Open-ended Visual Counting. CoRR Corentin Dancette, Rémi Cadène, Xinlei Chen, Matthieu Cord
2019	A*	`conf`	BLOCK: Bilinear Superdiagonal Fusion for Visual Question Answering and Visual Relationship Detection. AAAI Hédi Ben-Younes, Rémi Cadène, Nicolas Thome, Matthieu Cord
2019	J	`jnl`	BLOCK: Bilinear Superdiagonal Fusion for Visual Question Answering and Visual Relationship Detection. CoRR Hédi Ben-Younes, Rémi Cadène, Nicolas Thome, Matthieu Cord
2019	A*	`conf`	MUREL: Multimodal Relational Reasoning for Visual Question Answering. CVPR Rémi Cadène, Hédi Ben-Younes, Matthieu Cord, Nicolas Thome
2019	J	`jnl`	MUREL: Multimodal Relational Reasoning for Visual Question Answering. CoRR Rémi Cadène, Hédi Ben-Younes, Matthieu Cord, Nicolas Thome
2019	A*	`conf`	RUBi: Reducing Unimodal Biases for Visual Question Answering. NeurIPS Rémi Cadène, Corentin Dancette, Hédi Ben-Younes, Matthieu Cord, Devi Parikh
2019	J	`jnl`	RUBi: Reducing Unimodal Biases in Visual Question Answering. CoRR Rémi Cadène, Corentin Dancette, Hédi Ben-Younes, Matthieu Cord, Devi Parikh
2018	J	`jnl`	Benchmark Analysis of Representative Deep Neural Network Architectures. IEEE Access Simone Bianco, Rémi Cadène, Luigi Celona, Paolo Napoletano
2018	J	`jnl`	Benchmark Analysis of Representative Deep Neural Network Architectures. CoRR Simone Bianco, Rémi Cadène, Luigi Celona, Paolo Napoletano
2018	A*	`conf`	Cross-Modal Retrieval in the Cooking Context: Learning Semantic Text-Image Embeddings. SIGIR Micael Carvalho, Rémi Cadène, David Picard, Laure Soulier, Nicolas Thome, Matthieu Cord
2018	J	`jnl`	Cross-Modal Retrieval in the Cooking Context: Learning Semantic Text-Image Embeddings. CoRR Micael Carvalho, Rémi Cadène, David Picard, Laure Soulier, Nicolas Thome, Matthieu Cord
2018	J	`jnl`	Images & Recipes: Retrieval in the cooking context. CoRR Micael Carvalho, Rémi Cadène, David Picard, Laure Soulier, Matthieu Cord
2018	—	`conf`	Images and Recipes: Retrieval in the Cooking Context. ICDE Workshops Micael Carvalho, Rémi Cadène, David Picard, Laure Soulier, Matthieu Cord
2017	A*	`conf`	MUTAN: Multimodal Tucker Fusion for Visual Question Answering. ICCV Hédi Ben-Younes, Rémi Cadène, Matthieu Cord, Nicolas Thome
2017	J	`jnl`	MUTAN: Multimodal Tucker Fusion for Visual Question Answering. CoRR Hédi Ben-Younes, Rémi Cadène, Matthieu Cord, Nicolas Thome
2016	J	`jnl`	M2CAI Workflow Challenge: Convolutional Neural Networks with Time Smoothing and Hidden Markov Model for Video Frames Classification. CoRR Rémi Cadène, Thomas Robert, Nicolas Thome, Matthieu Cord
2016	J	`jnl`	Master's Thesis : Deep Learning for Visual Recognition. CoRR Rémi Cadène, Nicolas Thome, Matthieu Cord