← Authors

Francois Fleuret

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

Achievements

🧭 Keyword Pioneer 🐝 Cross-Pollinator (11) πŸƒ Academic Marathon (21) 🌍 Conference Polyglot (10) 🌈 Renaissance Researcher (5) πŸŒ‰ Interdisciplinary Bridge 🐣 Hot Topic Early Bird πŸ—ΊοΈ Taxonomy Completionist (18) 🌟 Keyword Trendsetter Combo (4) πŸ† Keyword Champion πŸ‘‘ Triple Crown πŸ”¬ Deep Specialist (14) 🧬 Topic Evolution 🀝 Dynamic Duo (10) πŸ”₯ Unstoppable (13) πŸ—ƒοΈ Keyword Collector (233) πŸ“ˆ Trend Setter πŸ’Ž Century Club (62) πŸš€ Conference Pioneer ⚑ Prolific Year (6)

Conferences

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

Top co-authors

Pascal Fua (10) Leonidas Lefakis (6) Pierre Baque (6) Vincent Micheli (5) Martin Jaggi (5) Suraj Srinivas (4) Timur Bagautdinov (4) Angelos Katharopoulos (4) James Newling (4) Olivier Canevet (4)

Keywords

object detection (7) pedestrian detection (4) depth estimation (4) image classification (4) deep learning (3) convolutional neural network (3) neural network (3) recurrent neural network (3) computer vision (3) transfer learning (3) face detection (3) neural network optimization (2) model architecture (2) adaptive sampling (2) feature selection (2) reinforcement learning (2) k-means clustering (2) bayesian inference (2) probabilistic modeling (2) stochastic optimization (2)

Papers

LiNeS: Post-training Layer Scaling Prevents Forgetting and Enhances Model Merging ICLR 2025
Pareto Low-Rank Adapters: Efficient Multi-Task Learning with Preferences ICLR 2025
Efficient World Models with Context-Aware Tokenization ICML 2024
DenseFormer: Enhancing Information Flow in Transformers via Depth Weighted Averaging NIPS 2024
Diffusion for World Modeling: Visual Details Matter in Atari NIPS 2024
Localizing Task Information for Improved Model Merging and Compression ICML 2024
ESLAM: Efficient Dense SLAM System Based on Hybrid Representation of Signed Distance Fields CVPR 2023
Pareto Manifold Learning: Tackling multiple tasks via ensembles of single-task models ICML 2023
Fast Attention Over Long Sequences With Dynamic Sparse Flash Attention NIPS 2023
SUPA: A Lightweight Diagnostic Simulator for Machine Learning in Particle Physics NIPS 2023
HyperMixer: An MLP-based Low Cost Alternative to Transformers ACL 2023
Transformers are Sample-Efficient World Models ICLR 2023
Agree to Disagree: Diversity through Disagreement for Better Transferability ICLR 2023
Efficient Training of Low-Curvature Neural Networks NIPS 2022
GeoNeRF: Generalizing NeRF With Geometry Priors CVPR 2022
Flowification: Everything is a normalizing flow NIPS 2022
Rethinking the Role of Gradient-based Attribution Methods for Model Interpretability ICLR 2021
Taming GANs with Lookahead-Minmax ICLR 2021
Uncertainty Reduction for Model Adaptation in Semantic Segmentation CVPR 2021
Language Models are Few-Shot Butlers EMNLP 2021
DepthInSpace: Exploitation and Fusion of Multiple Video Frames for Structured-Light Depth Estimation ICCV 2021
Fast Transformers with Clustered Attention NIPS 2020
On the importance of pre-training data volume for compact language models EMNLP 2020
Optimizer Benchmarking Needs to Account for Hyperparameter Tuning ICML 2020
Transformers are RNNs: Fast Autoregressive Transformers with Linear Attention ICML 2020
Reducing Noise in GAN Training with Variance Reduced Extragradient NIPS 2019
Full-Gradient Representation for Neural Network Visualization NIPS 2019
Learning an Event Sequence Embedding for Dense Event-Based Deep Stereo ICCV 2019
Processing Megapixel Images with Deep Attention-Sampling Models ICML 2019
Knowledge Transfer with Jacobian Matching ICML 2018
Not All Samples Are Created Equal: Deep Learning with Importance Sampling ICML 2018
Kronecker Recurrent Units ICML 2018
SGAN: An Alternative Training of Generative Adversarial Networks CVPR 2018
Geodesic Convolutional Shape Optimization ICML 2018
Practical Deep Stereo (PDS): Toward applications-friendly deep stereo matching NIPS 2018
WILDTRACK: A Multi-Camera HD Dataset for Dense Unscripted Pedestrian Detection CVPR 2018
Social Scene Understanding: End-To-End Multi-Person Action Localization and Collective Activity Recognition CVPR 2017
Multi-Modal Mean-Fields via Cardinality-Based Clamping CVPR 2017
Deep Occlusion Reasoning for Multi-Camera Multi-Target Detection ICCV 2017
Weakly Supervised Learning of Deep Metrics for Stereo Reconstruction ICCV 2017
Non-Markovian Globally Consistent Multi-Object Tracking ICCV 2017
A Sub-Quadratic Exact Medoid Algorithm AISTATS 2017
K-Medoids For K-Means Seeding NIPS 2017
Large Scale Hard Sample Mining With Monte Carlo Tree Search CVPR 2016
Importance Sampling Tree for Large-scale Empirical Expectation ICML 2016
Principled Parallel Mean-Field Inference for Discrete Random Fields CVPR 2016
Nested Mini-Batch K-Means NIPS 2016
Jointly Informative Feature Selection Made Tractable by Gaussian Modeling JMLR 2016
Fast k-means with accurate bounds ICML 2016
Kullback-Leibler Proximal Variational Inference NIPS 2015
Probability Occupancy Maps for Occluded Depth Images CVPR 2015
Efficient Sample Mining for Object Detection ACML 2014
Sample Distillation for Object Detection and Image Classification ACML 2014
Dynamic Programming Boosting for Discriminative Macro-Action Discovery ICML 2014
Jointly Informative Feature Selection AISTATS 2014
Adaptive Sampling for Large Scale Boosting JMLR 2014
Reservoir Boosting : Between Online and Offline Ensemble Learning NIPS 2013
Fast Object Detection with Entropy-Driven Evaluation CVPR 2013
Boosting with Maximum Adaptive Sampling NIPS 2011
Joint Cascade Optimization Using A Product Of Boosted Classifiers NIPS 2010
Stationary Features and Cat Detection JMLR 2008
Fast Binary Feature Selection with Conditional Mutual Information JMLR 2004