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02/05/2023
CIPER: Combining Invariant and Equivariant Representations Using Contrastive and Predictive Learning
Self-supervised representation learning (SSRL) methods have shown great ...
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10/18/2022
Sequence and Circle: Exploring the Relationship Between Patches
The vision transformer (ViT) has achieved state-of-the-art results in va...
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07/27/2022
Time to augment contrastive learning
Biological vision systems are unparalleled in their ability to learn vis...
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05/12/2022
Embodied vision for learning object representations
Recent time-contrastive learning approaches manage to learn invariant ob...
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12/16/2021
Multiple Instance Learning for Brain Tumor Detection from Magnetic Resonance Spectroscopy Data
We apply deep learning (DL) on Magnetic resonance spectroscopy (MRS) dat...
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04/21/2021
Recurrent Feedback Improves Recognition of Partially Occluded Objects
Recurrent connectivity in the visual cortex is believed to aid object re...
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01/27/2021
Self-Calibrating Active Binocular Vision via Active Efficient Coding with Deep Autoencoders
We present a model of the self-calibration of active binocular vision co...
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01/27/2021
Learning Abstract Representations through Lossy Compression of Multi-Modal Signals
A key competence for open-ended learning is the formation of increasingl...
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11/27/2020
An open-ended learning architecture to face the REAL 2020 simulated robot competition
Open-ended learning is a core research field of machine learning and rob...
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06/17/2020
Human-Expert-Level Brain Tumor Detection Using Deep Learning with Data Distillation and Augmentation
The application of Deep Learning (DL) for medical diagnosis is often ham...
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06/17/2020
Staging Epileptogenesis with Deep Neural Networks
Epilepsy is a common neurological disorder characterized by recurrent se...
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06/11/2020
Towards Early Diagnosis of Epilepsy from EEG Data
Epilepsy is one of the most common neurological disorders, affecting abo...
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09/12/2019
Recurrent Connectivity Aids Recognition of Partly Occluded Objects
Feedforward convolutional neural networks are the prevalent model of cor...
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07/20/2019
Recurrent Connections Aid Occluded Object Recognition by Discounting Occluders
Recurrent connections in the visual cortex are thought to aid object rec...
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03/19/2019
Residual Deep Convolutional Neural Network for EEG Signal Classification in Epilepsy
Epilepsy is the fourth most common neurological disorder, affecting abou...
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06/21/2016
