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07/20/2023
Learned Thresholds Token Merging and Pruning for Vision Transformers
Vision transformers have demonstrated remarkable success in a wide range...
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06/30/2023
Towards the extraction of robust sign embeddings for low resource sign language recognition
Isolated Sign Language Recognition (SLR) has mostly been applied on rela...
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08/26/2022
Hardware-aware mobile building block evaluation for computer vision
In this work we propose a methodology to accurately evaluate and compare...
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02/07/2022
Machine Translation from Signed to Spoken Languages: State of the Art and Challenges
Automatic translation from signed to spoken languages is an interdiscipl...
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04/01/2021
Anchor Pruning for Object Detection
This paper proposes anchor pruning for object detection in one-stage anc...
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01/31/2021
PyTorch-Hebbian: facilitating local learning in a deep learning framework
Recently, unsupervised local learning, based on Hebb's idea that change ...
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04/09/2020
Populations of Spiking Neurons for Reservoir Computing: Closed Loop Control of a Compliant Quadruped
Compliant robots can be more versatile than traditional robots, but thei...
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03/20/2020
Stance Control Inspired by Cerebellum Stabilizes Reflex-Based Locomotion on HyQ Robot
Advances in legged robotics are strongly rooted in animal observations. ...
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10/25/2019
Towards Deep Physical Reservoir Computing Through Automatic Task Decomposition And Mapping
Photonic reservoir computing is a promising candidate for low-energy com...
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10/08/2018
Training Passive Photonic Reservoirs with Integrated Optical Readout
As Moore's law comes to an end, neuromorphic approaches to computing are...
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08/28/2018
Explaining Character-Aware Neural Networks for Word-Level Prediction: Do They Discover Linguistic Rules?
Character-level features are currently used in different neural network-...
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02/21/2018
A Generative Deep Recurrent Model for Exchangeable Data
We present a novel model architecture which leverages deep learning tool...
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07/25/2017
Dual Rectified Linear Units (DReLUs): A Replacement for Tanh Activation Functions in Quasi-Recurrent Neural Networks
In this paper, we introduce a novel type of Rectified Linear Unit (ReLU)...
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07/19/2017
Improving Language Modeling using Densely Connected Recurrent Neural Networks
In this paper, we introduce the novel concept of densely connected layer...
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11/29/2016
Fast Face-swap Using Convolutional Neural Networks
We consider the problem of face swapping in images, where an input ident...
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11/05/2016
A Differentiable Physics Engine for Deep Learning in Robotics
One of the most important fields in robotics is the optimization of cont...
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06/05/2015
Beyond Temporal Pooling: Recurrence and Temporal Convolutions for Gesture Recognition in Video
Recent studies have demonstrated the power of recurrent neural networks ...
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03/24/2015
Rotation-invariant convolutional neural networks for galaxy morphology prediction
Measuring the morphological parameters of galaxies is a key requirement ...
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01/12/2015
Photonic Delay Systems as Machine Learning Implementations
Nonlinear photonic delay systems present interesting implementation plat...
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07/24/2014
Trainable and Dynamic Computing: Error Backpropagation through Physical Media
Machine learning algorithms, and more in particular neural networks, arg...
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11/30/2011