Picture for Yves Grandvalet

Yves Grandvalet

Heudiasyc

Harnessing Superclasses for Learning from Hierarchical Databases

Add code
Nov 25, 2024
Viaarxiv icon

Learning from missing data with the Latent Block Model

Add code
Oct 23, 2020
Figure 1 for Learning from missing data with the Latent Block Model
Figure 2 for Learning from missing data with the Latent Block Model
Figure 3 for Learning from missing data with the Latent Block Model
Figure 4 for Learning from missing data with the Latent Block Model
Viaarxiv icon

Driving among Flatmobiles: Bird-Eye-View occupancy grids from a monocular camera for holistic trajectory planning

Add code
Aug 10, 2020
Figure 1 for Driving among Flatmobiles: Bird-Eye-View occupancy grids from a monocular camera for holistic trajectory planning
Figure 2 for Driving among Flatmobiles: Bird-Eye-View occupancy grids from a monocular camera for holistic trajectory planning
Figure 3 for Driving among Flatmobiles: Bird-Eye-View occupancy grids from a monocular camera for holistic trajectory planning
Figure 4 for Driving among Flatmobiles: Bird-Eye-View occupancy grids from a monocular camera for holistic trajectory planning
Viaarxiv icon

Representation Transfer by Optimal Transport

Add code
Jul 13, 2020
Figure 1 for Representation Transfer by Optimal Transport
Figure 2 for Representation Transfer by Optimal Transport
Figure 3 for Representation Transfer by Optimal Transport
Figure 4 for Representation Transfer by Optimal Transport
Viaarxiv icon

Explicit Inductive Bias for Transfer Learning with Convolutional Networks

Add code
Jun 06, 2018
Figure 1 for Explicit Inductive Bias for Transfer Learning with Convolutional Networks
Figure 2 for Explicit Inductive Bias for Transfer Learning with Convolutional Networks
Figure 3 for Explicit Inductive Bias for Transfer Learning with Convolutional Networks
Figure 4 for Explicit Inductive Bias for Transfer Learning with Convolutional Networks
Viaarxiv icon

Theory of Optimizing Pseudolinear Performance Measures: Application to F-measure

Add code
Jan 01, 2018
Figure 1 for Theory of Optimizing Pseudolinear Performance Measures: Application to F-measure
Figure 2 for Theory of Optimizing Pseudolinear Performance Measures: Application to F-measure
Figure 3 for Theory of Optimizing Pseudolinear Performance Measures: Application to F-measure
Figure 4 for Theory of Optimizing Pseudolinear Performance Measures: Application to F-measure
Viaarxiv icon

Sparsity by Worst-Case Penalties

Add code
Jul 19, 2017
Figure 1 for Sparsity by Worst-Case Penalties
Figure 2 for Sparsity by Worst-Case Penalties
Figure 3 for Sparsity by Worst-Case Penalties
Figure 4 for Sparsity by Worst-Case Penalties
Viaarxiv icon

Combining Two And Three-Way Embeddings Models for Link Prediction in Knowledge Bases

Add code
Jun 02, 2015
Figure 1 for Combining Two And Three-Way Embeddings Models for Link Prediction in Knowledge Bases
Figure 2 for Combining Two And Three-Way Embeddings Models for Link Prediction in Knowledge Bases
Figure 3 for Combining Two And Three-Way Embeddings Models for Link Prediction in Knowledge Bases
Figure 4 for Combining Two And Three-Way Embeddings Models for Link Prediction in Knowledge Bases
Viaarxiv icon

An Efficient Approach to Sparse Linear Discriminant Analysis

Add code
Jun 27, 2012
Figure 1 for An Efficient Approach to Sparse Linear Discriminant Analysis
Figure 2 for An Efficient Approach to Sparse Linear Discriminant Analysis
Figure 3 for An Efficient Approach to Sparse Linear Discriminant Analysis
Viaarxiv icon