Zobrazeno 1 - 10
of 13 854
pro vyhledávání: '"Feng,Lei"'
Symmetry breaking plays a central role in classifying the phases of quantum many-body systems. Recent developments have highlighted a novel symmetry-breaking pattern, in which the strong symmetry of a density matrix spontaneously breaks to the week s
Externí odkaz:
http://arxiv.org/abs/2412.18397
Chain-of-thought (CoT) reasoning has emerged as an effective approach for activating latent capabilities in large language models (LLMs). We observe that CoT shares significant similarities with self-training in terms of their learning processes. Mot
Externí odkaz:
http://arxiv.org/abs/2412.10827
In our galaxy, white dwarfs inevitably undergo scattering and capture processes with the interstellar diffuse dark matter. The captured dark matter forms a dark halo that eventually evaporates or annihilates. Theoretical pulsation modes and observati
Externí odkaz:
http://arxiv.org/abs/2412.00470
The accurate segmentation of retinal blood vessels plays a crucial role in the early diagnosis and treatment of various ophthalmic diseases. Designing a network model for this task requires meticulous tuning and extensive experimentation to handle th
Externí odkaz:
http://arxiv.org/abs/2411.11110
It was hypothesized in the literature that some physical parameters may be time-evolving and the astrophysical data can serve as a probe. Recently, James Webb Space Telescope (JWST) have released its early observations. In this work, we select the JW
Externí odkaz:
http://arxiv.org/abs/2411.08774
Traditional knowledge distillation focuses on aligning the student's predicted probabilities with both ground-truth labels and the teacher's predicted probabilities. However, the transition to predicted probabilities from logits would obscure certain
Externí odkaz:
http://arxiv.org/abs/2411.08937
The message-passing mechanism of graph convolutional networks (i.e., GCNs) enables label information to be propagated to a broader range of neighbors, thereby increasing the utilization of labels. However, the label information is not always effectiv
Externí odkaz:
http://arxiv.org/abs/2411.02279
We developed a digital inline holography (DIH) system integrated with deep learning algorithms for real-time detection of particulate matter (PM) and bacterial contamination in peritoneal dialysis (PD) fluids. The system comprises a microfluidic samp
Externí odkaz:
http://arxiv.org/abs/2411.00901
Visual reprogramming (VR) leverages the intrinsic capabilities of pretrained vision models by adapting their input or output interfaces to solve downstream tasks whose labels (i.e., downstream labels) might be totally different from the labels associ
Externí odkaz:
http://arxiv.org/abs/2410.24018
Autor:
Wang, Xudong, Du, Hongyang, Niyato, Dusit, Zhou, Lijie, Feng, Lei, Yang, Zhixiang, Zhou, Fanqin, Li, Wenjing
In wireless networks, applying deep learning models to solve matching problems between different entities has become a mainstream and effective approach. However, the complex network topology in 6G multiple access presents significant challenges for
Externí odkaz:
http://arxiv.org/abs/2411.04137