Search Results for author: Wenyi Mo

Found 2 papers, 1 papers with code

MetaMask: Revisiting Dimensional Confounder for Self-Supervised Learning

2 code implementations16 Sep 2022 Jiangmeng Li, Wenwen Qiang, Yanan Zhang, Wenyi Mo, Changwen Zheng, Bing Su, Hui Xiong

As a successful approach to self-supervised learning, contrastive learning aims to learn invariant information shared among distortions of the input sample.

Contrastive Learning Meta-Learning +1

Supporting Vision-Language Model Inference with Causality-pruning Knowledge Prompt

no code implementations23 May 2022 Jiangmeng Li, Wenyi Mo, Wenwen Qiang, Bing Su, Changwen Zheng

Vision-language models are pre-trained by aligning image-text pairs in a common space so that the models can deal with open-set visual concepts by learning semantic information from textual labels.

Domain Generalization Language Modelling

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