Learning Modalities . Visual learners prefer using images, pictures, colors, and maps to organize information and communicate with others, easily visualize objects, plans and outcomes in the mind ...

To address the above challenges, we introduce an optimized OpenQA Table-Text Retriever (OTTeR) to jointly retrieve tabular and textual evidences. Firstly, we propose to enhance mixed-modality ...

During optimization, contrastive learning keeps the different modalities separate by a certain distance, which is influenced by the temperature parameter in the loss function. Our experiments further ...

Learn how to choose the best formats and modalities for your digital learning project based on your audience, objectives, resources, and evaluation. Agree & Join LinkedIn ...

Source Code for our EMNLP-22 findings paper Mixed-modality Representation Learning and Pre-training for Joint Table-and-Text Retrieval in OpenQA. We open-source a two stage OpenQA system, where it ...

Multimodal emotion recognition (MER) aims to understand the way that humans express their emotions by exploring complementary information across modalities. However, it is hard to guarantee that ...

MIT researchers have created a periodic table that shows how more than 20 classical machine-learning algorithms are connected. The new framework sheds light on how scientists could fuse strategies ...