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pro vyhledávání: '"Chiang, Hung"'
State Space Models (SSMs) have emerged as an appealing alternative to Transformers for large language models, achieving state-of-the-art accuracy with constant memory complexity which allows for holding longer context lengths than attention-based net
Externí odkaz:
http://arxiv.org/abs/2410.13229
Autor:
Chiang, Hung-Yueh, Marculescu, Diana
Designing low-latency and high-efficiency hybrid networks for a variety of low-cost commodity edge devices is both costly and tedious, leading to the adoption of hardware-aware neural architecture search (NAS) for finding optimal architectures. Howev
Externí odkaz:
http://arxiv.org/abs/2408.15395
We present here a combination of two networks, Recurrent Neural Networks (RNN) and Temporarily Convolutional Neural Networks (TCN) in de novo reaction generation using the novel Reaction Smiles-like representation of reactions (CGRSmiles) with atom m
Externí odkaz:
http://arxiv.org/abs/2310.17341
The increasing scale of vision transformers (ViT) has made the efficient fine-tuning of these large models for specific needs a significant challenge in various applications. This issue originates from the computationally demanding matrix multiplicat
Externí odkaz:
http://arxiv.org/abs/2309.15275
Review-Based Recommender Systems (RBRS) have attracted increasing research interest due to their ability to alleviate well-known cold-start problems. RBRS utilizes reviews to construct the user and items representations. However, in this paper, we ar
Externí odkaz:
http://arxiv.org/abs/2306.16526
Transfer learning on edge is challenging due to on-device limited resources. Existing work addresses this issue by training a subset of parameters or adding model patches. Developed with inference in mind, Inverted Residual Blocks (IRBs) split a conv
Externí odkaz:
http://arxiv.org/abs/2212.03246
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-9 (2024)
Abstract Mammographic screening has contributed to a significant reduction in breast cancer mortality. Several studies have highlighted the correlation between breast density, as detected through mammography, and a higher likelihood of developing bre
Externí odkaz:
https://doaj.org/article/881540cfbec245be9d4783baf3102af3
Neural architecture search can discover neural networks with good performance, and One-Shot approaches are prevalent. One-Shot approaches typically require a supernet with weight sharing and predictors that predict the performance of architecture. Ho
Externí odkaz:
http://arxiv.org/abs/2108.08189
Autor:
Liu, Yueh-Cheng, Huang, Yu-Kai, Chiang, Hung-Yueh, Su, Hung-Ting, Liu, Zhe-Yu, Chen, Chin-Tang, Tseng, Ching-Yu, Hsu, Winston H.
Most 3D neural networks are trained from scratch owing to the lack of large-scale labeled 3D datasets. In this paper, we present a novel 3D pretraining method by leveraging 2D networks learned from rich 2D datasets. We propose the contrastive pixel-t
Externí odkaz:
http://arxiv.org/abs/2104.04687
Autor:
Chiang, Hung-Pin, 江宏彬
107
The purpose of this study is to investigate the effects of the PaGamO learning platform application on elementary school students’ learning motivation and learning achievements in Chinese and Mathematics courses. Compared with students’
The purpose of this study is to investigate the effects of the PaGamO learning platform application on elementary school students’ learning motivation and learning achievements in Chinese and Mathematics courses. Compared with students’
Externí odkaz:
http://ndltd.ncl.edu.tw/handle/eek943