Search Results for author: Haoran Shen

Found 5 papers, 1 papers with code

KAN versus MLP on Irregular or Noisy Functions

no code implementations15 Aug 2024 Chen Zeng, Jiahui Wang, Haoran Shen, Qiao Wang

For some types of functions, MLP outperforms or performs comparably to KAN.

Kolmogorov-Arnold Networks

Reduced Effectiveness of Kolmogorov-Arnold Networks on Functions with Noise

no code implementations20 Jul 2024 Haoran Shen, Chen Zeng, Jiahui Wang, Qiao Wang

noise with any fixed SNR, when we increase the amount of training data by a factor of $r$, the test-loss (RMSE) of KANs will exhibit a performance trend like $\text{test-loss} \sim \mathcal{O}(r^{-\frac{1}{2}})$ as $r\to +\infty$.

Denoising Kolmogorov-Arnold Networks

Adaptive FSS: A Novel Few-Shot Segmentation Framework via Prototype Enhancement

2 code implementations25 Dec 2023 Jing Wang, Jinagyun Li, Chen Chen, Yisi Zhang, Haoran Shen, Tianxiang Zhang

In this paper, we propose a novel framework based on the adapter mechanism, namely Adaptive FSS, which can efficiently adapt the existing FSS model to the novel classes.

Meta-Learning

Med-DANet V2: A Flexible Dynamic Architecture for Efficient Medical Volumetric Segmentation

no code implementations28 Oct 2023 Haoran Shen, Yifu Zhang, Wenxuan Wang, Chen Chen, Jing Liu, Shanshan Song, Jiangyun Li

As a pioneering work, a dynamic architecture network for medical volumetric segmentation (i. e. Med-DANet) has achieved a favorable accuracy and efficiency trade-off by dynamically selecting a suitable 2D candidate model from the pre-defined model bank for different slices.

Computational Efficiency MRI segmentation +2

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