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01/13/2023
A survey and taxonomy of loss functions in machine learning
Most state-of-the-art machine learning techniques revolve around the opt...
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10/12/2022
Maximum entropy exploration in contextual bandits with neural networks and energy based models
Contextual bandits can solve a huge range of real-world problems. Howeve...
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11/08/2021
Composition and Style Attributes Guided Image Aesthetic Assessment
The aesthetic quality of an image is defined as the measure or appreciat...
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07/29/2021
Ranking Micro-Influencers: a Novel Multi-Task Learning and Interpretable Framework
With the rise in use of social media to promote branded products, the de...
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11/14/2020
Graph-Based Neural Network Models with Multiple Self-Supervised Auxiliary Tasks
Self-supervised learning is currently gaining a lot of attention, as it ...
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01/29/2018
Learning Combinations of Activation Functions
In the last decade, an active area of research has been devoted to desig...
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12/05/2017
Automated Pruning for Deep Neural Network Compression
In this work we present a method to improve the pruning step of the curr...
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04/20/2017
Dynamic Graph Convolutional Networks
Many different classification tasks need to manage structured data, whic...
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09/13/2016