CNNs have made an undeniable impact on computer vision through the ability to learn high-
capacity models with large annotated training sets. One of their remarkable properties is the …

This paper surveys value systems for developmental cognitive robotics. A value system
permits a biological brain to increase the likelihood of neural responses to selected external …

As a promising area in artificial intelligence, a new learning paradigm, called Small Sample
Learning (SSL), has been attracting prominent research attention in the recent years. In this …

In the future, robots will be used more extensively as assistants in home scenarios and must
be able to acquire expertise from trainers by learning through crossmodal interaction. One …

Generation-based linguistic steganography embeds secret information by generating high-
quality text sequences according to the information. However, this method may cause low …

The cooling system called flowcool is an important part of the ion mill etching (IME) machine.
In the case of the cooling system failure during operation, it will lead to significant impacts on …

Many machine learning softwares are available which help the researchers to accomplish
various tasks. These software packages have various conventional algorithms which …

Motivation is a crucial part of animal and human mental development, fostering competence,
autonomy, and open-ended development. Motivational constructs have proved to be an …

Parameter fine tuning is a transfer learning approach whereby learned parameters from pre-
trained source network are transferred to the target network followed by fine-tuning. Prior …

Similar to humans, robots benefit from interacting with their environment through a number
of different sensor modalities, such as vision, touch, sound. However, learning from different …