Zobrazeno 1 - 10
of 3 517
pro vyhledávání: '"NGUYEN, TRANG"'
Autor:
Le, Minh, Luu, Tien Ngoc, The, An Nguyen, Le, Thanh-Thien, Nguyen, Trang, Nguyen, Tung Thanh, Van, Linh Ngo, Nguyen, Thien Huu
To address catastrophic forgetting in Continual Relation Extraction (CRE), many current approaches rely on memory buffers to rehearse previously learned knowledge while acquiring new tasks. Recently, prompt-based methods have emerged as potent altern
Externí odkaz:
http://arxiv.org/abs/2412.08285
Missing data is a common problem that challenges the study of effects of treatments. In the context of mediation analysis, this paper addresses missingness in the two key variables, mediator and outcome, focusing on identification. We consider self-s
Externí odkaz:
http://arxiv.org/abs/2411.07221
Recently, many good quantum codes over various finite fields $F_q$ have been constructed from codes over extension rings or mixed alphabet rings via some version of a Gray map. We show that most of these codes can be obtained more directly from cycli
Externí odkaz:
http://arxiv.org/abs/2410.12167
This paper addresses, for the first time in the literature, optimal control problems for dynamic systems governed by a novel class of sweeping processes with time delay. We establish well-posedness of such processes, in the sense of the existence and
Externí odkaz:
http://arxiv.org/abs/2409.20404
Autor:
Wang, Xiaoye, Zhang, Nicole Xi, He, Hongyu, Nguyen, Trang, Yu, Kun-Hsing, Deng, Hao, Brandt, Cynthia, Bitterman, Danielle S., Pan, Ling, Cheng, Ching-Yu, Zou, James, Liu, Dianbo
Recent advancements in artificial intelligence (AI), particularly in deep learning and large language models (LLMs), have accelerated their integration into medicine. However, these developments have also raised public concerns about the safe applica
Externí odkaz:
http://arxiv.org/abs/2409.18968
Autor:
Nguyen, Trang Quynh
This paper concerns outcome missingness in principal stratification analysis. We revisit a common assumption known as latent ignorability or latent missing-at-random (LMAR), often considered a relaxation of missing-at-random (MAR). LMAR posits that t
Externí odkaz:
http://arxiv.org/abs/2407.13904
Prompt-based approaches offer a cutting-edge solution to data privacy issues in continual learning, particularly in scenarios involving multiple data suppliers where long-term storage of private user data is prohibited. Despite delivering state-of-th
Externí odkaz:
http://arxiv.org/abs/2406.19753
The cosine router in Mixture of Experts (MoE) has recently emerged as an attractive alternative to the conventional linear router. Indeed, the cosine router demonstrates favorable performance in image and language tasks and exhibits better ability to
Externí odkaz:
http://arxiv.org/abs/2405.14131
Exploiting the power of pre-trained models, prompt-based approaches stand out compared to other continual learning solutions in effectively preventing catastrophic forgetting, even with very few learnable parameters and without the need for a memory
Externí odkaz:
http://arxiv.org/abs/2405.14124
This paper primarily focuses on the practical applications of optimal control theory for perturbed sweeping processes within the realm of robotics dynamics. By describing these models as controlled sweeping processes with pointwise control and state
Externí odkaz:
http://arxiv.org/abs/2405.08986