Keywords:
- accelerated exact k-means
- Adaboost
- adaptive exploration/exploitation trade-off
- algorithm
- Annulus
- Automatic Speech Recognition
- Autoregressive models
- batch
- Bayesian framework
- Benchmarking
- BERT
- bioinformatics
- boosting
- Bootstrapping
- clustering
- computational efficiency
- computer vision
- content-based image retrieval
- Convolutional Neural Networks
- cue integration
- Deep Generative Models
- deep learning
- Elkan
- exact
- exact k-means
- Exponion
- feature combination
- feature selection
- Gaussian Mixture Model
- Gaussian Mixture Models (GMM)
- Generative Adversarial Networks
- genomics
- Greedy Edge Expectation Maximization (GEEM)
- Hamerly
- Hard Mining
- Hyperparameter optimization
- Image classification
- Importance Sampling
- Initialisation
- interactive
- iterative
- iterative relevance feedback
- K-means
- k-medoids
- k-nearest neighbors
- large-scale
- large-scale iterative relevance feedback
- localization
- log-based similarity learning
- lookahead
- machine learning
- medoid
- Metric learning
- Mini-batch
- minimax
- multimodal textual-based and visual content-based features
- nested
- nesting
- object detection
- Off-target effect
- optimization
- orthonormal regularizer
- parallel
- pattern classification
- Permutations
- person re-identifcation
- premature fine-tuning
- query-free
- query-free interactive content-based image retrieval
- query-free interactive image retrieval
- Random forest
- ranking
- redundancy
- Rejection Sampling
- relevance feedback
- Sampling
- scalable
- Seeding
- self-attention
- semantic segmentation
- sparsity
- Stochastic Variance Reduced Gradient
- sub-quadratic
- SVM
- tensorial operations
- tracking
- trajectories
- Transformer
- transformers
- Tree
- user-based evaluation
- Variance Reduced Gradient
- Vector quantization
- visual content-based features
- Wind Speed Nowcasting
- Yinyany
Publications of Francois Fleuret sorted by title
F
| Fast Object Detection with Entropy-Driven Evaluation, , , and , in: Proceedings of the Conference on Computer Vision and Pattern Recognition, 2013 |
| Fast Transformers with Clustered Attention, , and , in: Proceedings of the International Conference on Neural Information Processing Systems, 2020 |
| FlowBoost - Appearance Learning from Sparsely Annotated Video, , and , in: Proceedings of the IEEE international conference on Computer Vision and Pattern Recognition, 2011 |
| Full-Gradient Representation for Neural Network Visualization, and , in: Advances in Neural Information Processing Systems, 2019 |
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G
| Geodesic Convolutional Shape Optimization, , , and , in: Proceedings of the International Conference on Machine Learning, 2018 |
| Geometric calibration of Colour and Stereo Surface Imaging System of ESA's Trace Gas Orbiter, , , , , , , and , in: Advances in Space Research, 2018 |
| GeoNeRF: Generalizing NeRF with Geometry Priors, , and , in: Proceedings of the IEEE international conference on Computer Vision and Pattern Recognition (CVPR), 2022 |
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| Gradient Alignment in Deep Neural Networks, and , Idiap-RR-14-2020 |
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H
| HEAT: Iterative Relevance Feedback with One Million Images, and , Idiap-RR-33-2011 |
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| HEAT: Iterative Relevance Feedback with One Million Images, and , in: Proceedings of the IEEE International Conference on Computer Vision, pages 2118-2125, 2011 |
| HyperMixer: An MLP-based Green AI Alternative to Transformers, , , , , , and , in: arxiv, 2022 |
| HyperMixer: An MLP-based Low Cost Alternative to Transformers, , , , , , and , in: Proc. of the 61st Annual Meeting of the Association for Computational Linguistics, Association for Computational Linguistics, Toronto, Canada, pages 15632-15654, 2023 |
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I
| Importance Sampling Tree for Large-scale Empirical Expectation, , and , in: Proceedings of the International Conference on Machine Learning (ICML), New-York, 2016 |
| Improving Object Classification using Pose Information, , , and , Idiap-RR-30-2012 |
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| Inference from Real-World Sparse Measurements, , and , in: TMLR, 2024 |
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| Iterative Relevance Feedback with Adaptive Exploration/Exploitation Trade-off, and , in: Proceedings of the 21st ACM Conference on Information and Knowledge Management, pages 1323-1331, 2012 |
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J
| Joint Cascade Optimization Using a Product Of Boosted Classifiers, and , in: Proceedings of the Neural Information Processing Systems Conference, pages 1315–1323, 2010 |
| Joint Pose Estimator and Feature Learning for Object Detection, , , and , in: Proceedings of the IEEE International Conference on Computer Vision, 2009 |
| Jointly Informative Feature Selection, and , in: International Conference on Artificial Intelligence and Statistics, pages 567–575, 2014 |
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| Jointly Informative Feature Selection, and , in: Journal of Machine Learning Research, 2016 |
K
| K-Medoids For K-Means Seeding, and , in: Proceedings of the international conference on Neural Information Processing Systems, 2017 |
| Knowledge Transfer with Jacobian Matching, and , Idiap-RR-04-2018 |
[URL] |
| Knowledge Transfer with Jacobian Matching, and , in: Proceedings of the International Conference on Machine Learning, 2018 |
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| Kronecker Recurrent Units, , and , in: Proceedings of the International Conference on Machine Learning, 2018 |
| Kullback-Leibler Proximal Variational Inference, , , and , in: Proceedings of the international conference on Neural Information Processing Systems, pages 3402-3410, 2015 |
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L
| Large Scale Hard Sample Mining with Monte Carlo Tree Search, and , in: Proceedings of the IEEE international conference on Computer Vision and Pattern Recognition, 2016 |
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| Learning an event sequence embedding for event-based deep stereo, , , , and , in: Proceedings of the IEEE International Conference on Computer Vision, 2019 |
| Learning Rotational Features for Filament Detection, , and , in: Proceedings of the IEEE international conference on Computer Vision and Pattern Recognition, 2009 |
| LETHA: Learning from High Quality Inputs for 3D Pose Estimation in Low Quality Images, , , and , in: Proceedings of the International Conference on 3D vision, pages 517–524, 2014 |
| LETHA: Learning from High Quality Inputs for 3D Pose Estimation in Low Quality Images., , , and , Idiap-RR-22-2014 |
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| Local Affine Approximations for Improving Knowledge Transfer, and , Idiap-Com-01-2018 |
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