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Francois Fleuret

62 papers · 2004–2025 · 10 venues · across top CS/AI venues

This profile combines several different researchers. Authors are keyed by name, and this name's papers fall into 12 separate collaboration groups - the largest holds only 48% of them. Pick the group below that matches the researcher you mean. How a shared name is split.

Achievements are not shown for a combined profile - each one describes a single researcher's record, which this is not.

Which Francois Fleuret?

9 groups of papers that share co-authors internally but none with each other - each most likely a different researcher. Pick one to see its papers.

with Pascal Fua, Leonidas Lefakis, Pierre Baque 30 papers · 2010–2024 · NeurIPS, CVPR, ICML Hide ▲
DenseFormer: Enhancing Information Flow in Transformers via Depth Weighted Averaging NeurIPS 2024 Agree to Disagree: Diversity through Disagreement for Better Transferability ICLR 2023 Fast Attention Over Long Sequences With Dynamic Sparse Flash Attention NeurIPS 2023 HyperMixer: An MLP-based Low Cost Alternative to Transformers ACL 2023 SUPA: A Lightweight Diagnostic Simulator for Machine Learning in Particle Physics NeurIPS 2023 Flowification: Everything is a normalizing flow NeurIPS 2022 Taming GANs with Lookahead-Minmax ICLR 2021 Optimizer Benchmarking Needs to Account for Hyperparameter Tuning ICML 2020 Reducing Noise in GAN Training with Variance Reduced Extragradient NeurIPS 2019 Geodesic Convolutional Shape Optimization ICML 2018 Kronecker Recurrent Units ICML 2018 SGAN: An Alternative Training of Generative Adversarial Networks CVPR 2018 WILDTRACK: A Multi-Camera HD Dataset for Dense Unscripted Pedestrian Detection CVPR 2018 Deep Occlusion Reasoning for Multi-Camera Multi-Target Detection ICCV 2017 Multi-Modal Mean-Fields via Cardinality-Based Clamping CVPR 2017 Non-Markovian Globally Consistent Multi-Object Tracking ICCV 2017 Social Scene Understanding: End-To-End Multi-Person Action Localization and Collective Activity Recognition CVPR 2017 Importance Sampling Tree for Large-scale Empirical Expectation ICML 2016 Jointly Informative Feature Selection Made Tractable by Gaussian Modeling JMLR 2016 Large Scale Hard Sample Mining With Monte Carlo Tree Search CVPR 2016 Principled Parallel Mean-Field Inference for Discrete Random Fields CVPR 2016 Kullback-Leibler Proximal Variational Inference NeurIPS 2015 Probability Occupancy Maps for Occluded Depth Images CVPR 2015 Dynamic Programming Boosting for Discriminative Macro-Action Discovery ICML 2014 Efficient Sample Mining for Object Detection ACML 2014 Jointly Informative Feature Selection AISTATS 2014 Sample Distillation for Object Detection and Image Classification ACML 2014 Fast Object Detection with Entropy-Driven Evaluation CVPR 2013 Reservoir Boosting : Between Online and Offline Ensemble Learning NeurIPS 2013 Joint Cascade Optimization Using A Product Of Boosted Classifiers NeurIPS 2010
3 papers whose co-authors appear nowhere else under this name
Uncertainty Reduction for Model Adaptation in Semantic Segmentation CVPR 2021 Stationary Features and Cat Detection JMLR 2008 Fast Binary Feature Selection with Conditional Mutual Information JMLR 2004

Venues · all papers under this name

NeurIPS (16) ICML (13) CVPR (11) ICLR (6) ICCV (5) JMLR (4) ACML (2) AISTATS (2) EMNLP (2) ACL (1)