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Found 9 papers, 1 papers with code
Corner case data description and detection
However, the complex architecture and the huge amount of parameters make the robust adjustment of DL models not easy, meanwhile it is not possible to generate all real-world corner cases for DL training.
Self-paced Data Augmentation for Training Neural Networks
A typical method that applies data augmentation to all training samples disregards sample suitability, which may reduce classifier performance.
Describing Semantic Representations of Brain Activity Evoked by Visual Stimuli
The results demonstrate that the proposed model can decode brain activity and generate descriptions using natural language sentences.
Symbol Emergence in Robotics: A Survey
Humans can learn the use of language through physical interaction with their environment and semiotic communication with other people.
