Résultats de la recherche - coding (Algorithmssssics OR (algorithm OR (algorithm OR algorithmssicsics)))

GarmentLab: A Unified Simulation and Benchmark for Garment Manipulation par Lu, Haoran, Wu, Ruihai, Li, Yitong, Li, Sijie, Zhu, Ziyu, Ning, Chuanruo, Shen, Yan, Luo, Longzan, Chen, Yuanpei, Dong, Hao

Table des matières: “… simulation methods such as FEM and PBD, along with our proposed sim-to-real algorithms and real-world…”
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A New Logic For Pediatric Brain Tumor Segmentation par Bengtsson, Max, Keles, Elif, Durak, Gorkem, Anwar, Syed, Velichko, Yuri S., Linguraru, Marius G., Waanders, Angela J., Bagci, Ulas

Table des matières: “… segmentation outcomes with the winning algorithm from the PED BraTS 2023 challenge as the SOTA model. Our…”
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Exploiting Unlabeled Data with Multiple Expert Teachers for Open Vocabulary Aerial Object Detection and Its Orientation Adaptation par Li, Yan, Guo, Weiwei, Yang, Xue, Liao, Ning, Zhang, Shaofeng, Yu, Yi, Yu, Wenxian, Yan, Junchi

Table des matières: “… applications. However, current algorithms are limited to detecting a set of pre-defined object categories…”
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Delta-Influence: Unlearning Poisons via Influence Functions par Li, Wenjie, Li, Jiawei, Zeng, Pengcheng, de Witt, Christian Schroeder, Prabhu, Ameya, Sanyal, Amartya

Table des matières: “… unlearning algorithms often struggle to effectively remove the influence of poisoned samples, particularly…”
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Unicorn: Unified Neural Image Compression with One Number Reconstruction par Zheng, Qi, Wang, Haozhi, Liu, Zihao, Liu, Jiaming, Liu, Peiye, Hao, Zhijian, Lu, Yanheng, Niu, Dimin, Zhou, Jinjia, Jing, Minge, Fan, Yibo

Table des matières: “…), including traditional standards and neural end-to-end algorithms; 2) implicit image compression (IIC) based…”
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Towards Popularity-Aware Recommendation: A Multi-Behavior Enhanced Framework with Orthogonality Constraint par Han, Yishan, Xu, Biao, Wang, Yao, Gao, Shanxing

Table des matières: “…. The source code for our algorithm and experiments is available at \url{https://github.com/Eason-sys/PopSI}. …”
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Tempo: Compiled Dynamic Deep Learning with Symbolic Dependence Graphs par Silvestre, Pedro F., Pietzuch, Peter

Table des matières: “…Deep learning (DL) algorithms are often defined in terms of temporal relationships: a tensor at one…”
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ADKGD: Anomaly Detection in Knowledge Graphs with Dual-Channel Training par Wu, Jiayang, Gan, Wensheng, Zhang, Jiahao, Yu, Philip S.

Table des matières: “…-of-the-art anomaly detection algorithms. The source code and datasets are publicly available at https…”
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A Deep Reinforcement Learning based Scheduler for IoT Devices in Co-existence with 5G-NR par Jabeen, Shahida

Table des matières: “…) scheduler has been designed for joint sub-carrier (SC) and modulation and coding scheme (MCS) allocation…”
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FuzzyLight: A Robust Two-Stage Fuzzy Approach for Traffic Signal Control Works in Real Cities par Li, Mingyuan, Wang, Jiahao, Du, Bo, Shen, Jun, Wu, Qiang

Table des matières: “… algorithms face several real-world challenges that hinder their practical deployment in TSC: (1) Sensor…”
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Boost, Disentangle, and Customize: A Robust System2-to-System1 Pipeline for Code Generation par Du, Kounianhua, Wang, Hanjing, Liu, Jianxing, Chen, Jizheng, Dai, Xinyi, Wang, Yasheng, Tang, Ruiming, Yu, Yong, Wang, Jun, Zhang, Weinan

Table des matières: “…. In this paper, we focus on code generation, which is a representative System 2 task, and identify two primary…”
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Spatial Analysis of Neuromuscular Junctions Activation in Three-Dimensional Histology-based Muscle Reconstructions par Orsini, Alessandro Ascani, Bhatt, Manan, Perkins, Pierce L., Wang, Siyu, Quinn, Kiara N., Griffith, Kenzi, Kang, Fausto, Thakor, Nitish V.

Table des matières: “… electrophysiological data. The algorithm analyzes spatial distribution patterns of features identified through…”
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Tracailer: An Efficient Trajectory Planner for Tractor-Trailer Robots in Unstructured Environments par Xu, Long, Chai, Kaixin, An, Boyuan, Gan, Jiaxiang, Ji, Shuhang, Hou, Zhenyu, Wang, Qianhao, Zhou, Yuan, Li, Xiaoying, Lin, Junxiao, Han, Zhichao, Xu, Chao, Cao, Yanjun, Gao, Fei

Table des matières: “…. Moreover, a multi-terminal fast path search algorithm is proposed to generate the initial values…”
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On Generalization Across Environments In Multi-Objective Reinforcement Learning par Teoh, Jayden, Varakantham, Pradeep, Vamplew, Peter

Table des matières: “… algorithms on this benchmark reveals limited generalization capabilities, suggesting significant room…”
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Multi-Strategy Enhanced COA for Path Planning in Autonomous Navigation par Wang, Yifei, Keung, Jacky, Xu, Haohan, Cao, Yuchen, Mao, Zhenyu

Table des matières: “… movement in complex environments. Reliable navigation requires algorithmic approaches that compute optimal…”
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Intermediate Domain-guided Adaptation for Unsupervised Chorioallantoic Membrane Vessel Segmentation par Song, Pengwu, Wang, Zhiping, Yao, Peng, Xu, Liang, Shen, Shuwei, Shao, Pengfei, Sun, Mingzhai, Xu, Ronald X.

Table des matières: “… segmentation algorithms remains limited, and the lack of public datasets contributes to poor prediction…”
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Geometry-Constrained Monocular Scale Estimation Using Semantic Segmentation for Dynamic Scenes par Zhang, Hui, Wu, Zhiyang, Shangguan, Qianqian, An, Kang

Table des matières: “…, surpassing state-of-the-art visual odometry algorithms. Our source code is available at https://git hub.com…”
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Frequency Enhancement for Image Demosaicking par Liu, Jingyun, Yang, Daiqin, Chen, Zhenzhong

Table des matières: “… outperforms other state-of-the-art algorithms on different datasets and demonstrates significant advantages…”
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Orbital-Free Density Functional Theory for Periodic Solids: Construction of the Pauli Potential par Majumdar, Sangita, Shi, Zekun, Vignale, Giovanni

Table des matières: “…]$. In this work, we address two key challenges towards this objective. First, we introduce a new algorithm…”
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Reinforcement Learning-based Self-adaptive Differential Evolution through Automated Landscape Feature Learning par Guo, Hongshu, Ma, Sijie, Huang, Zechuan, Hu, Yuzhi, Ma, Zeyuan, Zhang, Xinglin, Gong, Yue-Jiao

Table des matières: “… that excel in dynamic algorithm configuration (DAC) tasks within the low-level optimization, reducing…”
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