no code implementations • 21 Apr 2024 • Shitong Shao, Zikai Zhou, Huanran Chen, Zhiqiang Shen
Dataset condensation, a concept within data-centric learning, efficiently transfers critical attributes from an original dataset to a synthetic version, maintaining both diversity and realism.
1 code implementation • 22 Jan 2024 • Zikai Zhou, Yunhang Shen, Shitong Shao, Linrui Gong, Shaohui Lin
This paper first provides a theoretical perspective to illustrate the effectiveness of CKA, which decouples CKA to the upper bound of Maximum Mean Discrepancy~(MMD) and a constant term.
1 code implementation • 21 Aug 2023 • Shuo Zhang, Ziruo Wang, Zikai Zhou, Huanran Chen
Deep neural networks are vulnerable to adversarial examples, posing a threat to the models' applications and raising security concerns.
1 code implementation • 7 Aug 2023 • Zikai Zhou, Shuo Zhang, Ziruo Wang, Huanran Chen
The success of deep learning is inseparable from normalization layers.
no code implementations • 2 Jun 2023 • Zikai Zhou, Haisong Feng, Baiyou Qiao, Gang Wu, Donghong Han
Multimodal Sentiment Analysis (MSA) has been a popular topic in natural language processing nowadays, at both sentence and aspect level.