research
∙
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...
share
research
∙
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...
research
∙
11/08/2021
Composition and Style Attributes Guided Image Aesthetic Assessment
The aesthetic quality of an image is defined as the measure or appreciat...
research
∙
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...
research
∙
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 ...
research
∙
01/29/2018
Learning Combinations of Activation Functions
In the last decade, an active area of research has been devoted to desig...
research
∙
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...
research
∙
04/20/2017
Dynamic Graph Convolutional Networks
Many different classification tasks need to manage structured data, whic...
research
∙
09/13/2016
