Zobrazeno 1 - 10
of 3 472
pro vyhledávání: '"Nguyen, Hoang P"'
Autor:
Nguyen, Hoang-Quan, Nguyen, Xuan-Bac, Churchill, Hugh, Choudhary, Arabinda Kumar, Sinha, Pawan, Khan, Samee U., Luu, Khoa
Vision-brain understanding aims to extract semantic information about brain signals from human perceptions. Existing deep learning methods for vision-brain understanding are usually introduced in a traditional learning paradigm missing the ability to
Externí odkaz:
http://arxiv.org/abs/2411.13378
Autor:
Vu, Nguyen Hoang
We generalize the concept of holography for the color superconductivity (CSC) phase by considering $d$-dimensional Anti de Sitter (AdS) space instead of the traditional 6 dimensions. The corresponding dual field theory is a gauge theory with $SU(N_c)
Externí odkaz:
http://arxiv.org/abs/2411.05550
Visual inspections of bridges are critical to ensure their safety and identify potential failures early. This inspection process can be rapidly and accurately automated by using unmanned aerial vehicles (UAVs) integrated with deep learning models. Ho
Externí odkaz:
http://arxiv.org/abs/2411.04475
This paper concerns the numerical approximation for the invariant distribution of Markovian switching L\'evy-driven stochastic differential equations. By combining the tamed-adaptive Euler-Maruyama scheme with the Multi-level Monte Carlo method, we p
Externí odkaz:
http://arxiv.org/abs/2411.04081
Large language models (LLMs) pre-trained on massive corpora have demonstrated impressive few-shot learning capability on many NLP tasks. Recasting an NLP task into a text-to-text generation task is a common practice so that generative LLMs can be pro
Externí odkaz:
http://arxiv.org/abs/2411.02864
Autor:
Nguyen, Hoang, Mahajan, Khyati, Yadav, Vikas, Yu, Philip S., Hashemi, Masoud, Maheshwary, Rishabh
Multilingual LLMs have achieved remarkable benchmark performance, but we find they continue to underperform on non-Latin script languages across contemporary LLM families. This discrepancy arises from the fact that LLMs are pretrained with orthograph
Externí odkaz:
http://arxiv.org/abs/2411.02398
We perform a systematic study of inelastic nuclear rainbow scattering for the \oc system to the 2$^+$ (4.44 MeV) state of $^{12}$C at incident energies of 100--608 MeV with the coupled-channels method. The recently generalized nearside-farside decomp
Externí odkaz:
http://arxiv.org/abs/2410.13234
Unsupervised domain adaptation (UDA) has become increasingly prevalent in scene text recognition (STR), especially where training and testing data reside in different domains. The efficacy of existing UDA approaches tends to degrade when there is a l
Externí odkaz:
http://arxiv.org/abs/2410.09913
We explore a robust version of the barycenter problem among $n$ centered Gaussian probability measures, termed Semi-Unbalanced Optimal Transport (SUOT)-based Barycenter, wherein the barycenter remains fixed while the others are relaxed using Kullback
Externí odkaz:
http://arxiv.org/abs/2410.08117
Autor:
Tran, Quyen, Thanh, Nguyen Xuan, Anh, Nguyen Hoang, Hai, Nam Le, Le, Trung, Van Ngo, Linh, Nguyen, Thien Huu
Few-shot Continual Relations Extraction (FCRE) is an emerging and dynamic area of study where models can sequentially integrate knowledge from new relations with limited labeled data while circumventing catastrophic forgetting and preserving prior kn
Externí odkaz:
http://arxiv.org/abs/2410.00334