research
∙
07/10/2023
SITTA: A Semantic Image-Text Alignment for Image Captioning
Textual and semantic comprehension of images is essential for generating...
share
research
∙
06/15/2023
Semantic HELM: An Interpretable Memory for Reinforcement Learning
Reinforcement learning agents deployed in the real world often have to c...
research
∙
06/07/2022
Few-Shot Learning by Dimensionality Reduction in Gradient Space
We introduce SubGD, a novel few-shot learning method which is based on t...
research
∙
05/24/2022
History Compression via Language Models in Reinforcement Learning
In a partially observable Markov decision process (POMDP), an agent typi...
research
∙
10/13/2020
Cross-Domain Few-Shot Learning by Representation Fusion
In order to quickly adapt to new data, few-shot learning aims at learnin...
research
∙
10/30/2019
Quantum Optical Experiments Modeled by Long Short-Term Memory
We demonstrate how machine learning is able to model experiments in quan...
research
∙
10/09/2019