Zobrazeno 1 - 10
of 17 451
pro vyhledávání: '"Joo, Young"'
This paper addresses domain adaptation challenges in graph data resulting from chronological splits. In a transductive graph learning setting, where each node is associated with a timestamp, we focus on the task of Semi-Supervised Node Classification
Externí odkaz:
http://arxiv.org/abs/2411.10957
Autor:
Kim, Jaeyeon, Kwon, Sehyun, Choi, Joo Young, Park, Jongho, Cho, Jaewoong, Lee, Jason D., Ryu, Ernest K.
In-context learning (ICL) describes a language model's ability to generate outputs based on a set of input demonstrations and a subsequent query. To understand this remarkable capability, researchers have studied simplified, stylized models. These st
Externí odkaz:
http://arxiv.org/abs/2410.05448
Text-to-speech (TTS) systems that scale up the amount of training data have achieved significant improvements in zero-shot speech synthesis. However, these systems have certain limitations: they require a large amount of training data, which increase
Externí odkaz:
http://arxiv.org/abs/2410.03192
Resistive random-access memory (ReRAM) crossbar arrays are suitable for efficient inference computations in neural networks due to their analog general matrix-matrix multiplication (GEMM) capabilities. However, traditional ReRAM-based accelerators su
Externí odkaz:
http://arxiv.org/abs/2409.16640
Social problems stemming from the shortage of radiologists are intensifying, and artificial intelligence is being highlighted as a potential solution. Recently emerging large-scale generative AI has expanded from large language models (LLMs) to multi
Externí odkaz:
http://arxiv.org/abs/2409.12973
Autor:
Moon, Seungjae, Kim, Jung-Hoon, Kim, Junsoo, Hong, Seongmin, Cha, Junseo, Kim, Minsu, Lim, Sukbin, Choi, Gyubin, Seo, Dongjin, Kim, Jongho, Lee, Hunjong, Park, Hyunjun, Ko, Ryeowook, Choi, Soongyu, Park, Jongse, Lee, Jinwon, Kim, Joo-Young
The explosive arrival of OpenAI's ChatGPT has fueled the globalization of large language model (LLM), which consists of billions of pretrained parameters that embodies the aspects of syntax and semantics. HyperAccel introduces latency processing unit
Externí odkaz:
http://arxiv.org/abs/2408.07326
Autor:
Lam, Bhan, Ong, Zhen-Ting, Ooi, Kenneth, Ong, Wen-Hui, Wong, Trevor, Watcharasupat, Karn N., Boey, Vanessa, Lee, Irene, Hong, Joo Young, Kang, Jian, Lee, Kar Fye Alvin, Christopoulos, Georgios, Gan, Woon-Seng
Publikováno v:
Building and Environment, vol. 266, p. 112106, Dec. 2024
Formalized in ISO 12913, the "soundscape" approach is a paradigmatic shift towards perception-based urban sound management, aiming to alleviate the substantial socioeconomic costs of noise pollution to advance the United Nations Sustainable Developme
Externí odkaz:
http://arxiv.org/abs/2407.05744
Current state-of-the-art diffusion models employ U-Net architectures containing convolutional and (qkv) self-attention layers. The U-Net processes images while being conditioned on the time embedding input for each sampling step and the class or capt
Externí odkaz:
http://arxiv.org/abs/2405.03958
Text generation is a compelling sub-field of natural language processing, aiming to generate human-readable text from input words. In particular, the decoder-only generative models, such as generative pre-trained transformer (GPT), are widely used fo
Externí odkaz:
http://arxiv.org/abs/2401.17005
Autor:
Choi, Shinwoo, author, Hong, Joo Young, author, Hawkins, Catherine, author, Park, Hyejoon, author
Publikováno v:
Addressing Anti-Asian Racism with Social Work Advocacy and Action, 2024.
Externí odkaz:
https://doi.org/10.1093/oso/9780197672242.003.0007
