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- Block-Wisely Supervised Neural Architecture Search With Knowledge Distillation201
This work proposes to modularize the large search space of NAS into blocks to ensure that the potential candidate architectures are fully trained, and distill the neural architecture (DNA) knowledge from a teacher model to supervise the block-wise architecture search, which significantly improves the effectiveness of NAS.
- BossNAS: Exploring Hybrid CNN-transformers with Block-wisely Self-supervised Neural Architecture Search128
This work presents Block-wisely Self-supervised Neural Architecture Search (BossNAS), an unsupervised NAS method that addresses the problem of in-accurate architecture rating caused by large weight-sharing space and biased supervision in previous methods
- Expression of toll-like receptors 2 and 4 and CD14 during differentiation of HL-60 cells induced by phorbol 12-myristate 13-acetate and 1 alpha, 25-dihydroxy-vitamin D(3).39
PMA-mediated differentiation of HL-60 cells to macrophages is associated largely with TLR2 expression and, to a much lesser extent, withTLR4, and up-regulation ofTLR2 and CD14 mRNA expression by PMA was abrogated by a protein kinase C inhibitor, Calphostine C, suggesting the up- regulation of TLR 2 andCD14 mRNA is dependent on the activation of protein kinases C.
- Effects of CTx and 8-Bromo-cAMP on LPS-Induced Gene Expression of Cytokines in Murine Peritoneal Macrophages30
This is the first report that CTx and 8-bromo-cAMP positively regulate IL-1Ra gene expression in LPS-stimulated macrophages, suggesting that a cAMP-dependent pathway may play a regulatory role in Toll-receptor system.
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- Arch-Graph: Acyclic Architecture Relation Predictor for Task-Transferable Neural Architecture Search27
This work proposes Arch-Graph, a transferable NAS method that predicts task-specific optimal architectures with respect to given task embeddings, and shows its transferability and high sample efficiency across numerous tasks, beating many NAS methods designed for both single-task and multi-task search.
- DiFiNet: Boundary-Aware Semantic Differentiation and Filtration Network for Nested Named Entity Recognition23
A Boundary-aware Semantic Differentiation and Filtration Network (DiFiNet) tailored for nested NER, which leverages a biaffine attention mechanism to generate a span representation matrix and integrates a boundary filtration module, designed to mitigate the impact of non-entity noise.
- Pi-NAS: Improving Neural Architecture Search by Reducing Supernet Training Consistency Shift22
This work addresses the ranking correlation problem to the supernet training consistency shift, including feature shift and parameter shift, using a nontrivial supernet-∏ model, called ∏-NAS, which runs in an unsupervised manner, which can search for more transferable architectures.
- MMVG-INF-Etrol@TRECVID 2019: Activities in Extended Video.17
For detecting and localizing surveillance events in videos, Argus employs a spatial-temporal activity proposal generation module facilitating object detection and tracking, followed by a sequential classification module to spatially and temporally localize persons and objects involved in the activity.
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- An Improved Face Synthesis Model for Two-Pathway Generative Adversarial Network4
A novel Two-Pathway Wasserstein GAN with Gradient Penalty (TPWGAN-GP) model, which uses a gradient penalty method to satisfy the Lipschitz continuity condition, which solves the problems of difficulty in hyper-parameter adjustment and gradient explosion in the TP-GAN, making the convergence speed faster and the model more stable in training process.
- Ellagitannin component punicalin prevents cognitive impairment by inhibiting metabolic disorders, TLR4/NF-kB/NLRP3 inflammasome signaling, and mitochondrial dysfunction in high-fat diet-fed mice3
PUN could serve as a new nutritional strategy for preventing obesity-related cognitive dysfunction via its metabolic regulation and anti-inflammatory effects and counteract cognitive impairment in HFD-fed mice.
- Kernel extreme learning machine optimized by arithmetic optimization algorithm3
This work introduces the Kernel Extreme Learning Machine optimized by the Arithmetic Optimization Algorithm (AOA-KELM) in an effort to significantly improve the efficiency of the Kernel Extreme Learning Machine.
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- Learning Self-Regularized Adversarial Views for Self-Supervised Vision Transformers1
This work reduces the search cost of AutoView to nearly zero by learning views and network parameters simultaneously in a single forward-backward step, minimizing and maximizing the mutual information among different augmented views, respectively, and proposes a self-regularized loss term to guarantee the information propagation.
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- Fecal short-chain fatty acids and serum metabolites: the impact of COVID-19 infection on dialysis patients–
COVID-19 infection in dialysis patients is associated with marked depletion of fecal SCFAs and broad perturbations of systemic metabolism, with persistent amino-acid-centered alterations among patients who develop LC, which offers a novel metabolic framework supporting the implementation of prolonged follow-up strategies to monitor and ameliorate persistent sequelae in this high-risk population.
Publication data from OpenAlex, with missing venues and authors filled in from Crossref; citation counts are the higher of OpenAlex and Semantic Scholar, last synced 2026-10-15. One-sentence summaries under some papers are written by Semantic Scholar’s model. Citation counts may be lower than on Google Scholar, which indexes more sources.
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