2 citations · 3 across the 12 of their papers we have counts for
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cs.LG2024
Structural-Entropy-Based Sample Selection for Efficient and Effective Learning
Tianchi Xie, Jiangning Zhu, Guozu Ma +4
Sample selection improves the efficiency and effectiveness of machine learning models by providing informative and representative samples. Typically, samples can be modeled as a sa…
cs.LG2023★ 1 cited
Foundation Models Meet Visualizations: Challenges and Opportunities
Weikai Yang, Mengchen Liu, Zheng Wang +1
Recent studies have indicated that foundation models, such as BERT and GPT, excel in adapting to a variety of downstream tasks. This adaptability has established them as the domina…
cs.LG2018★ 2 cited
Analyzing the Noise Robustness of Deep Neural Networks
Mengchen Liu, Shixia Liu, Hang Su +2
Deep neural networks (DNNs) are vulnerable to maliciously generated adversarial examples. These examples are intentionally designed by making imperceptible perturbations and often…