| 2025 | ICLR | Pareto Low-Rank Adapters: Efficient Multi-Task Learning with Preferences. | Nikolaos Dimitriadis, Pascal Frossard, Franois Fleuret |
| 2025 | ICLR | LiNeS: Post-training Layer Scaling Prevents Forgetting and Enhances Model Merging. | Ke Wang, Nikolaos Dimitriadis, Alessandro Favero, Guillermo Ortiz-Jimnez, Franois Fleuret, Pascal Frossard |
| 2024 | ICML | Efficient World Models with Context-Aware Tokenization. | Vincent Micheli, Eloi Alonso, Franois Fleuret |
| 2024 | ICML | Localizing Task Information for Improved Model Merging and Compression. | Ke Wang, Nikolaos Dimitriadis, Guillermo Ortiz-Jimnez, Franois Fleuret, Pascal Frossard |
| 2024 | ICPR | DeepEMD: A Transformer-Based Fast Estimation of the Earth Mover's Distance. | Atul Kumar Sinha, Franois Fleuret |
| 2023 | ACL | HyperMixer: An MLP-based Low Cost Alternative to Transformers. | Florian Mai, Arnaud Pannatier, Fabio Fehr, Haolin Chen, Franois Marelli, Franois Fleuret, James Henderson |
| 2023 | CogSci | Human control redressed: Comparing AI and human predictability in a real-effort task. | Serhiy Kandul, Vincent Micheli, Juliane Beck, Thomas Burri, Franois Fleuret, Markus Kneer, Markus Christen |
| 2023 | CVPR | ESLAM: Efficient Dense SLAM System Based on Hybrid Representation of Signed Distance Fields. | Mohammad Mahdi Johari, Camilla Carta, Franois Fleuret |
| 2023 | ICLR | Transformers are Sample-Efficient World Models. | Vincent Micheli, Eloi Alonso, Franois Fleuret |
| 2023 | ICLR | Agree to Disagree: Diversity through Disagreement for Better Transferability. | Matteo Pagliardini, Martin Jaggi, Franois Fleuret, Sai Praneeth Karimireddy |
| 2023 | ICML | Pareto Manifold Learning: Tackling multiple tasks via ensembles of single-task models. | Nikolaos Dimitriadis, Pascal Frossard, Franois Fleuret |
| 2022 | BMVC | PAUMER: Patch Pausing Transformer for Semantic Segmentation. | Evann Courdier, Prabhu Teja Sivaprasad, Franois Fleuret |
| 2022 | CVPR | GeoNeRF: Generalizing NeRF with Geometry Priors. | Mohammad Mahdi Johari, Yann Lepoittevin, Franois Fleuret |
| 2022 | ICPR | Borrowing from yourself: Faster future video segmentation with partial channel update. | Evann Courdier, Franois Fleuret |
| 2022 | SDM | Efficient Wind Speed Nowcasting with GPU-Accelerated Nearest Neighbors Algorithm. | Arnaud Pannatier, Ricardo Picatoste, Franois Fleuret |
| 2021 | CVPR | Uncertainty Reduction for Model Adaptation in Semantic Segmentation. | Prabhu Teja Sivaprasad, Franois Fleuret |
| 2021 | EMNLP | Language Models are Few-Shot Butlers. | Vincent Micheli, Franois Fleuret |
| 2021 | ICCV | DepthInSpace: Exploitation and Fusion of Multiple Video Frames for Structured-Light Depth Estimation. | Mohammad Mahdi Johari, Camilla Carta, Franois Fleuret |
| 2021 | ICLR | Taming GANs with Lookahead-Minmax. | Tatjana Chavdarova, Matteo Pagliardini, Sebastian U. Stich, Franois Fleuret, Martin Jaggi |
| 2021 | ICLR | Rethinking the Role of Gradient-based Attribution Methods for Model Interpretability. | Suraj Srinivas, Franois Fleuret |
| 2020 | ACCV | Real-Time Segmentation Networks Should be Latency Aware. | Evann Courdier, Franois Fleuret |
| 2020 | EMNLP | On the importance of pre-training data volume for compact language models. | Vincent Micheli, Martin d'Hoffschmidt, Franois Fleuret |
| 2020 | ICML | Transformers are RNNs: Fast Autoregressive Transformers with Linear Attention. | Angelos Katharopoulos, Apoorv Vyas, Nikolaos Pappas, Franois Fleuret |
| 2020 | ICML | Optimizer Benchmarking Needs to Account for Hyperparameter Tuning. | Prabhu Teja Sivaprasad, Florian Mai, Thijs Vogels, Martin Jaggi, Franois Fleuret |
| 2019 | ICCV | Learning an Event Sequence Embedding for Dense Event-Based Deep Stereo. | Stepan Tulyakov, Franois Fleuret, Martin Kiefel, Peter V. Gehler, Michael Hirsch |
| 2019 | ICML | Processing Megapixel Images with Deep Attention-Sampling Models. | Angelos Katharopoulos, Franois Fleuret |
| 2018 | CVPR | WILDTRACK: A Multi-Camera HD Dataset for Dense Unscripted Pedestrian Detection. | Tatjana Chavdarova, Pierre Baqu, Stphane Bouquet, Andrii Maksai, Cijo Jose, Timur M. Bagautdinov, Louis Lettry, Pascal Fua, Luc Van Gool, Franois Fleuret |
| 2018 | CVPR | SGAN: An Alternative Training of Generative Adversarial Networks. | Tatjana Chavdarova, Franois Fleuret |
| 2018 | ICLR | Kronecker Recurrent Units. | Cijo Jose, Moustapha Ciss, Franois Fleuret |
| 2018 | ICML | Geodesic Convolutional Shape Optimization. | Pierre Baqu, Edoardo Remelli, Franois Fleuret, Pascal Fua |
| 2018 | ICML | Kronecker Recurrent Units. | Cijo Jose, Moustapha Ciss, Franois Fleuret |
| 2018 | ICML | Not All Samples Are Created Equal: Deep Learning with Importance Sampling. | Angelos Katharopoulos, Franois Fleuret |
| 2018 | ICML | Knowledge Transfer with Jacobian Matching. | Suraj Srinivas, Franois Fleuret |
| 2017 | AISTATS | A Sub-Quadratic Exact Medoid Algorithm. | James Newling, Franois Fleuret |
| 2017 | CVPR | Social Scene Understanding: End-to-End Multi-person Action Localization and Collective Activity Recognition. | Timur M. Bagautdinov, Alexandre Alahi, Franois Fleuret, Pascal Fua, Silvio Savarese |
| 2017 | CVPR | Multi-modal Mean-Fields via Cardinality-Based Clamping. | Pierre Baqu, Franois Fleuret, Pascal Fua |
| 2017 | ICCV | Deep Occlusion Reasoning for Multi-camera Multi-target Detection. | Pierre Baqu, Franois Fleuret, Pascal Fua |
| 2017 | ICCV | Non-Markovian Globally Consistent Multi-object Tracking. | Andrii Maksai, Xinchao Wang, Franois Fleuret, Pascal Fua |
| 2017 | ICCV | Weakly Supervised Learning of Deep Metrics for Stereo Reconstruction. | Stepan Tulyakov, Anton Ivanov, Franois Fleuret |
| 2017 | ICMLA | Deep Multi-camera People Detection. | Tatjana Chavdarova, Franois Fleuret |
| 2017 | MICCAI | Boosted Exudate Segmentation in Retinal Images Using Residual Nets. | Samaneh Abbasi-Sureshjani, Behdad Dashtbozorg, Bart M. ter Haar Romeny, Franois Fleuret |
| 2016 | CVPR | Principled Parallel Mean-Field Inference for Discrete Random Fields. | Pierre Baqu, Timur M. Bagautdinov, Franois Fleuret, Pascal Fua |
| 2016 | CVPR | Large Scale Hard Sample Mining with Monte Carlo Tree Search. | Olivier Canvet, Franois Fleuret |
| 2016 | ECCV | Scalable Metric Learning via Weighted Approximate Rank Component Analysis. | Cijo Jose, Franois Fleuret |
| 2016 | ICML | Importance Sampling Tree for Large-scale Empirical Expectation. | Olivier Canvet, Cijo Jose, Franois Fleuret |
| 2016 | ICML | Fast k-means with accurate bounds. | James Newling, Franois Fleuret |
| 2015 | CVPR | Probability occupancy maps for occluded depth images. | Timur M. Bagautdinov, Franois Fleuret, Pascal Fua |
| 2014 | ACML | Efficient Sample Mining for Object Detection. | Olivier Canvet, Franois Fleuret |
| 2014 | ACML | Sample Distillation for Object Detection and Image Classification. | Olivier Canvet, Leonidas Lefakis, Franois Fleuret |
| 2014 | AISTATS | Jointly Informative Feature Selection. | Leonidas Lefakis, Franois Fleuret |
| 2014 | ECCV | Tracking Interacting Objects Optimally Using Integer Programming. | Xinchao Wang, Engin Tretken, Franois Fleuret, Pascal Fua |
| 2014 | ICML | Dynamic Programming Boosting for Discriminative Macro-Action Discovery. | Leonidas Lefakis, Franois Fleuret |
| 2013 | BMVC | Deformable Part Models with Individual Part Scaling. | Charles Dubout, Franois Fleuret |
| 2013 | CVPR | Accelerated Training of Linear Object Detectors. | Charles Dubout, Franois Fleuret |
| 2013 | CVPR | Fast Object Detection with Entropy-Driven Evaluation. | Raphael Sznitman, Carlos J. Becker, Franois Fleuret, Pascal Fua |
| 2012 | CIKM | Iterative relevance feedback with adaptive exploration/exploitation trade-off. | Nicolae Suditu, Franois Fleuret |
| 2012 | ECCV | Exact Acceleration of Linear Object Detectors. | Charles Dubout, Franois Fleuret |
| 2012 | ICASSP | A tree-based distance between distributions: Application to classification of neurons. | Riwal Lefort, Franois Fleuret |
| 2012 | ICMLA | Macro-action Discovery Based on Change Point Detection and Boosting. | Leonidas Lefakis, Franois Fleuret |
| 2011 | CVPR | FlowBoost - Appearance learning from sparsely annotated video. | Karim Ali, David Hasler, Franois Fleuret |
| 2011 | ICCV | Tasting families of features for image classification. | Charles Dubout, Franois Fleuret |
| 2011 | ICCV | Tracking multiple people under global appearance constraints. | Horesh Ben Shitrit, Jrme Berclaz, Franois Fleuret, Pascal Fua |
| 2011 | ICCV | HEAT: Iterative relevance feedback with one million images. | Nicolae Suditu, Franois Fleuret |
| 2010 | CVPR | Delineating trees in noisy 2D images and 3D image-stacks. | Germn Gonzlez, Engin Tretken, Franois Fleuret, Pascal Fua |
| 2009 | CVPR | Learning rotational features for filament detection. | Germn Gonzlez, Franois Fleuret, Pascal Fua |
| 2009 | ICCV | Joint pose estimator and feature learning for object detection. | Karim Ali, Franois Fleuret, David Hasler, Pascal Fua |
| 2009 | MICCAI | Steerable Features for Statistical 3D Dendrite Detection. | Germn Gonzlez, Franois Aguet, Franois Fleuret, Michael Unser, Pascal Fua |
| 2008 | ECCV | Multi-camera Tracking and Atypical Motion Detection with Behavioral Maps. | Jrme Berclaz, Franois Fleuret, Pascal Fua |
| 2008 | ECCV | Automated Delineation of Dendritic Networks in Noisy Image Stacks. | Germn Gonzlez, Franois Fleuret, Pascal Fua |
| 2007 | BMVC | Robust Multi-View Change Detection. | Alessandro Lanza, Luigi Di Stefano, Jrme Berclaz, Franois Fleuret, Pascal Fua |
| 2007 | COLT | Occam's Hammer. | Gilles Blanchard, Franois Fleuret |
| 2006 | CVPR | Robust People Tracking with Global Trajectory Optimization. | Jrme Berclaz, Franois Fleuret, Pascal Fua |
| 2006 | ECCV | Feature Harvesting for Tracking-by-Detection. | Mustafa zuysal, Vincent Lepetit, Franois Fleuret, Pascal Fua |
| 2005 | BMVC | Classifier-based Contour Tracking for Rigid and Deformable Objects. | Ali Shahrokni, Franois Fleuret, Pascal Fua |
| 2005 | ICANN | The GCS Kernel for SVM-Based Image Recognition. | Sabri Boughorbel, Jean-Philippe Tarel, Franois Fleuret, Nozha Boujemaa |
| 2005 | ICCV | Fixed Point Probability Field for Complex Occlusion Handling. | Franois Fleuret, Richard Lengagne, Pascal Fua |
| 2005 | ICMLA | A Bayesian kernel for the prediction of neuron properties from binary gene profiles. | Franois Fleuret, Wulfram Gerstner |
| 2004 | BMVC | Non-Mercer Kernels for SVM Object Recognition. | Sabri Boughorbel, Jean-Philippe Tarel, Franois Fleuret |
| 2002 | ESANN | Theoretical properties of functional Multi Layer Perceptrons. | Fabrice Rossi, Brieuc Conan-Guez, Franois Fleuret |
| 2002 | ICPR | Fast Face Detection with Precise Pose Estimation. | Franois Fleuret, Donald Geman |