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BELT:Bootstrapping Electroencephalography-to-Language Decoding and Zero-Shot Sentiment Classification by Natural Language Supervision
The proposed BELT method is a generic and efficient framework that bootstraps EEG representation learning using off-the-shelf large-scale pretrained language models (LMs).
Generalizing Multimodal Variational Methods to Sets
Making sense of multiple modalities can yield a more comprehensive description of real-world phenomena.
Graph-based Facial Affect Analysis: A Review
As far as we know, this is the first survey of graph-based FAA methods.
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