Zobrazeno 1 - 10
of 49 002
pro vyhledávání: '"LIU, JIE"'
Recently, lightweight methods for single image super-resolution (SISR) have gained significant popularity and achieved impressive performance due to limited hardware resources. These methods demonstrate that adopting residual feature distillation is
Externí odkaz:
http://arxiv.org/abs/2410.09844
Autor:
Wang, Rui, Yan, Zhen, Shen, Zhiqiang, Lee, KeJia, Wu, Yajun, Zhao, Rongbing, Huang, Zhipeng, Wang, Xiaowei, Liu, Jie
The Gum Nebula is a faint supernova remnant extending about 40 degrees across the southern sky, potentially affecting tens of background pulsars. Though the view that the Gum Nebula acts as a potential scattering screen for background pulsars has bee
Externí odkaz:
http://arxiv.org/abs/2410.08628
Autor:
Yao, Yuxuan, Wu, Han, Liu, Mingyang, Luo, Sichun, Han, Xiongwei, Liu, Jie, Guo, Zhijiang, Song, Linqi
Large language models (LLMs) exhibit varying strengths and weaknesses across different tasks, prompting recent studies to explore the benefits of ensembling models to leverage their complementary advantages. However, existing LLM ensembling methods o
Externí odkaz:
http://arxiv.org/abs/2410.03777
Publikováno v:
ACCV2024
Multi-task-learning(MTL) is a multi-target optimization task. Neural networks try to realize each target using a shared interpretative space within MTL. However, as the scale of datasets expands and the complexity of tasks increases, knowledge sharin
Externí odkaz:
http://arxiv.org/abs/2410.03778
Autor:
Chen, Shangye, Huang, Jin, Yang, Shuangyan, Liu, Jie, Li, Huaicheng, Nikolopoulos, Dimitrios, Ryu, Junhee, Baek, Jinho, Shin, Kwangsik, Li, Dong
Tiered memory, built upon a combination of fast memory and slow memory, provides a cost-effective solution to meet ever-increasing requirements from emerging applications for large memory capacity. Reducing the size of fast memory is valuable to impr
Externí odkaz:
http://arxiv.org/abs/2410.00328
Fine-tuning large language models (LLMs) with Low-Rank adaption (LoRA) is widely acknowledged as an effective approach for continual learning for new tasks. However, it often suffers from catastrophic forgetting when dealing with multiple tasks seque
Externí odkaz:
http://arxiv.org/abs/2409.19611
Quantum Approximate Optimization Algorithm (QAOA) is one of the fundamental variational quantum algorithms, while a version of QAOA that includes counterdiabatic driving, termed Digitized Counterdiabatic QAOA (DC-QAOA), is generally considered to out
Externí odkaz:
http://arxiv.org/abs/2409.15055
Advancements in deep learning and voice-activated technologies have driven the development of human-vehicle interaction. Distributed microphone arrays are widely used in in-car scenarios because they can accurately capture the voices of passengers fr
Externí odkaz:
http://arxiv.org/abs/2409.08610
Autor:
Fu, Baohua, Liu, Jie
The algebra of symmetric tensors $S(X):= H^0(X, \sf{S}^{\bullet} T_X)$ of a projective manifold $X$ leads to a natural dominant affinization morphism $$ \varphi_X: T^*X \longrightarrow \mathcal{Z}_X:= \text{Spec} S(X). $$ It is shown that $\varphi_X$
Externí odkaz:
http://arxiv.org/abs/2409.07264
Recent advances in large language models (LLMs) have shown significant potential to automate various software development tasks, including code completion, test generation, and bug fixing. However, the application of LLMs for automated bug fixing rem
Externí odkaz:
http://arxiv.org/abs/2409.00899