Keywords:
- accelerated exact k-means
- Adaboost
- adaptive exploration/exploitation trade-off
- algorithm
- Annulus
- Automatic Speech Recognition
- 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
- person re-identifcation
- premature fine-tuning
- query-free
- query-free interactive content-based image retrieval
- query-free interactive image retrieval
- Random forest
- ranking
- redundancy
- relevance feedback
- Sampling
- scalable
- Seeding
- self-attention
- semantic segmentation
- sparsity
- Stochastic Variance Reduced Gradient
- sub-quadratic
- SVM
- tensorial operations
- tracking
- trajectories
- Transformer
- Tree
- user-based evaluation
- Variance Reduced Gradient
- Vector quantization
- visual content-based features
- Wind Speed Nowcasting
- Yinyany
Publications of Francois Fleuret sorted by first author
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| Full-Gradient Representation for Neural Network Visualization, and , in: Advances in Neural Information Processing Systems, 2019 |
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| Knowledge Transfer with Jacobian Matching, and , Idiap-RR-04-2018 |
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| Local Affine Approximations for Improving Knowledge Transfer, and , Idiap-Com-01-2018 |
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| Knowledge Transfer with Jacobian Matching, and , in: Proceedings of the International Conference on Machine Learning, 2018 |
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| Efficient Training of Low-Curvature Neural Networks, , , and , in: NeurIPS 2022, 2022 |
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| Adaptive relevance feedback for large-scale image retrieval, and , in: Multimedia Tools and Applications, 75(12):6777-6807, 2016 |
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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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| 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 |
| Fast Object Detection with Entropy-Driven Evaluation, , , and , in: Proceedings of the Conference on Computer Vision and Pattern Recognition, 2013 |
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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 |
| Practical Deep Stereo (PDS): Toward applications-friendly deep stereo matching, , and , in: Proceedings of the international conference on Neural Information Processing Systems, 2018 |
| Weakly Supervised Learning of Deep Metrics for Stereo Reconstruction, , and , in: Proceedings of the IEEE International Conference on Computer Vision, 2017 |
| Geometric calibration of Colour and Stereo Surface Imaging System of ESA's Trace Gas Orbiter, , , , , , , and , in: Advances in Space Research, 2018 |
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| Fast Transformers with Clustered Attention, , and , in: Proceedings of the International Conference on Neural Information Processing Systems, 2020 |
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| Tracking Interacting Objects Using Intertwined Flows, , , and , in: IEEE Transactions on Pattern Analysis and Machine Intelligence, 2016 |
| Tracking Interacting Objects Optimally Using Integer Programming, , , and , in: Proceedings of the European Conference on Computer Vision, pages 17-32, 2014 |
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