Search Results for author: Daniel Oñoro-Rubio

Found 6 papers, 1 papers with code

Learning to Transfer with von Neumann Conditional Divergence

no code implementations7 Aug 2021 Ammar Shaker, Shujian Yu, Daniel Oñoro-Rubio

Feature similarity includes both the invariance of marginal distributions and the closeness of conditional distributions given the desired response $y$ (e. g., class labels).

Domain Adaptation

A Relational-learning Perspective to Multi-label Chest X-ray Classification

no code implementations10 Mar 2021 Anjany Sekuboyina, Daniel Oñoro-Rubio, Jens Kleesiek, Brandon Malone

Multi-label classification of chest X-ray images is frequently performed using discriminative approaches, i. e. learning to map an image directly to its binary labels.

Classification General Classification +4

Contextual Hourglass Networks for Segmentation and Density Estimation

no code implementations8 Jun 2018 Daniel Oñoro-Rubio, Mathias Niepert

These shortcut connections improve the performance and it is hypothesized that this is due to mitigating effects on the vanishing gradient problem and the ability of the model to combine feature maps from earlier and later layers.

Density Estimation Image Segmentation +3

Learning Short-Cut Connections for Object Counting

no code implementations8 May 2018 Daniel Oñoro-Rubio, Mathias Niepert, Roberto J. López-Sastre

Standard short-cut connections are connections between layers in deep neural networks which skip at least one intermediate layer.

Density Estimation Object Counting

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