Zobrazeno 1 - 10
of 1 368
pro vyhledávání: '"Lee Jaewook"'
Programmatically generated synthetic data has been used in differential private training for classification to enhance performance without privacy leakage. However, as the synthetic data is generated from a random process, the distribution of real da
Externí odkaz:
http://arxiv.org/abs/2412.09842
Neural additive model (NAM) is a recently proposed explainable artificial intelligence (XAI) method that utilizes neural network-based architectures. Given the advantages of neural networks, NAMs provide intuitive explanations for their predictions w
Externí odkaz:
http://arxiv.org/abs/2411.06367
Accurate prediction of Global Warming Potential (GWP) is essential for assessing the environmental impact of chemical processes and materials. Traditional GWP prediction models rely predominantly on molecular structure, overlooking critical process-r
Externí odkaz:
http://arxiv.org/abs/2411.00426
For the efficient and safe use of lithium-ion batteries, diagnosing their current state and predicting future states are crucial. Although there exist many models for the prediction of battery cycle life, they typically have very complex input struct
Externí odkaz:
http://arxiv.org/abs/2410.19886
In this paper, we study an under-explored area of language and vocabulary learning: keyword mnemonics, a technique for memorizing vocabulary through memorable associations with a target word via a verbal cue. Typically, creating verbal cues requires
Externí odkaz:
http://arxiv.org/abs/2409.13952
Time series generation is widely used in real-world applications such as simulation, data augmentation, and hypothesis test techniques. Recently, diffusion models have emerged as the de facto approach for time series generation, emphasizing diverse s
Externí odkaz:
http://arxiv.org/abs/2408.06672
In this paper, we introduce a memory-efficient CNN (convolutional neural network), which enables resource-constrained low-end embedded and IoT devices to perform on-device vision tasks, such as image classification and object detection, using extreme
Externí odkaz:
http://arxiv.org/abs/2408.03663
Autor:
Lee, Jaewook, Tjahjadi, Andrew D., Kim, Jiho, Yu, Junpu, Park, Minji, Zhang, Jiawen, Froehlich, Jon E., Tian, Yapeng, Zhao, Yuhang
Cooking is a central activity of daily living, supporting independence as well as mental and physical health. However, prior work has highlighted key barriers for people with low vision (LV) to cook, particularly around safely interacting with tools,
Externí odkaz:
http://arxiv.org/abs/2407.13515
Time series forecasting is crucial for applications across multiple domains and various scenarios. Although Transformer models have dramatically advanced the landscape of forecasting, their effectiveness remains debated. Recent findings have indicate
Externí odkaz:
http://arxiv.org/abs/2405.16877
Intelligent Tutoring Systems (ITSs) often contain an automated feedback component, which provides a predefined feedback message to students when they detect a predefined error. To such a feedback component, we often resort to template-based approache
Externí odkaz:
http://arxiv.org/abs/2405.06414