Zobrazeno 1 - 10
of 2 114
pro vyhledávání: '"Zeng, Chen"'
In this paper, we compare the performance of Kolmogorov-Arnold Networks (KAN) and Multi-Layer Perceptron (MLP) networks on irregular or noisy functions. We control the number of parameters and the size of the training samples to ensure a fair compari
Externí odkaz:
http://arxiv.org/abs/2408.07906
It has been observed that even a small amount of noise introduced into the dataset can significantly degrade the performance of KAN. In this brief note, we aim to quantitatively evaluate the performance when noise is added to the dataset. We propose
Externí odkaz:
http://arxiv.org/abs/2407.14882
We study the critical behaviors of the ground and first excited states in the one-dimensional nonreciprocal Aubry-Andr{\'e}-Harper model using both the self-normal and biorthogonal fidelity susceptibilities. We demonstrate that fidelity susceptibilit
Externí odkaz:
http://arxiv.org/abs/2404.16704
Diffusion models have gained prominence in the image domain for their capabilities in data generation and transformation, achieving state-of-the-art performance in various tasks in both image and audio domains. In the rapidly evolving field of audio-
Externí odkaz:
http://arxiv.org/abs/2309.13166
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-14 (2024)
Abstract The dynamic crack propagation trajectories play a crucial role in enhancing our understanding of spatial mechanisms involved in crack expansion. However, visualization of internal cracks under complex crack conditions has always been a chall
Externí odkaz:
https://doaj.org/article/6e299cb0b5d4405b931d08263d0f3eb9
Autor:
Yuchen Shi, Shangdong Liu, Sisi Shao, Yimu Ji, Fei Wu, Tiansheng Gu, Yulu Zheng, Yijun Nie, Zongkai Ji, Cailing Sun, Zeng Chen, Yawei Sun
Publikováno v:
IET Communications, Vol 18, Iss 17, Pp 1089-1106 (2024)
Abstract Turbo codes play a crucial role in wireless communication systems, and their compiled code structures are key factors affecting the performance of the entire communication system. As a result, the study of turbo compiled code structures has
Externí odkaz:
https://doaj.org/article/cdd0f86ab5cd4b11ade527e9fab971a9
Autor:
Dong, Guanting, Wang, Zechen, Zhao, Jinxu, Zhao, Gang, Guo, Daichi, Fu, Dayuan, Hui, Tingfeng, Zeng, Chen, He, Keqing, Li, Xuefeng, Wang, Liwen, Cui, Xinyue, Xu, Weiran
The objective of few-shot named entity recognition is to identify named entities with limited labeled instances. Previous works have primarily focused on optimizing the traditional token-wise classification framework, while neglecting the exploration
Externí odkaz:
http://arxiv.org/abs/2308.14533
Autor:
Shokri, Ali, Perez, Alexandre, Chowdhury, Souma, Zeng, Chen, Kaloor, Gerald, Matei, Ion, Schneider, Peter-Patel, Gunasekaran, Akshith, Rane, Shantanu
We introduce a novel approach to automatically synthesize a mathematical representation of the control algorithms implemented in industrial cyber-physical systems (CPS), given the embedded system binary. The output model can be used by subject matter
Externí odkaz:
http://arxiv.org/abs/2308.00250
Pre-trained language models based on general text enable huge success in the NLP scenario. But the intrinsical difference of linguistic patterns between general text and task-oriented dialogues makes existing pre-trained language models less useful i
Externí odkaz:
http://arxiv.org/abs/2306.10315
Autor:
Mou, Yutao, Song, Xiaoshuai, He, Keqing, Zeng, Chen, Wang, Pei, Wang, Jingang, Xian, Yunsen, Xu, Weiran
Generalized intent discovery aims to extend a closed-set in-domain intent classifier to an open-world intent set including in-domain and out-of-domain intents. The key challenges lie in pseudo label disambiguation and representation learning. Previou
Externí odkaz:
http://arxiv.org/abs/2305.17699