Search Results - coding (algorithmssics OR (algorithm OR (algorithm OR Algorithmssssicsics)))

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

Table of Contents: “… 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 by Bengtsson, Max, Keles, Elif, Durak, Gorkem, Anwar, Syed, Velichko, Yuri S., Linguraru, Marius G., Waanders, Angela J., Bagci, Ulas

Table of Contents: “… 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 by Li, Yan, Guo, Weiwei, Yang, Xue, Liao, Ning, Zhang, Shaofeng, Yu, Yi, Yu, Wenxian, Yan, Junchi

Table of Contents: “… 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 by Li, Wenjie, Li, Jiawei, Zeng, Pengcheng, de Witt, Christian Schroeder, Prabhu, Ameya, Sanyal, Amartya

Table of Contents: “… 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 by Zheng, Qi, Wang, Haozhi, Liu, Zihao, Liu, Jiaming, Liu, Peiye, Hao, Zhijian, Lu, Yanheng, Niu, Dimin, Zhou, Jinjia, Jing, Minge, Fan, Yibo

Table of Contents: “…), 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 by Han, Yishan, Xu, Biao, Wang, Yao, Gao, Shanxing

Table of Contents: “…. 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 by Silvestre, Pedro F., Pietzuch, Peter

Table of Contents: “…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 by Wu, Jiayang, Gan, Wensheng, Zhang, Jiahao, Yu, Philip S.

Table of Contents: “…-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 by Jabeen, Shahida

Table of Contents: “…) 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 by Li, Mingyuan, Wang, Jiahao, Du, Bo, Shen, Jun, Wu, Qiang

Table of Contents: “… 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 by Du, Kounianhua, Wang, Hanjing, Liu, Jianxing, Chen, Jizheng, Dai, Xinyi, Wang, Yasheng, Tang, Ruiming, Yu, Yong, Wang, Jun, Zhang, Weinan

Table of Contents: “…. 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 by Orsini, Alessandro Ascani, Bhatt, Manan, Perkins, Pierce L., Wang, Siyu, Quinn, Kiara N., Griffith, Kenzi, Kang, Fausto, Thakor, Nitish V.

Table of Contents: “… 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 by 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 of Contents: “…. 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 by Teoh, Jayden, Varakantham, Pradeep, Vamplew, Peter

Table of Contents: “… 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 by Wang, Yifei, Keung, Jacky, Xu, Haohan, Cao, Yuchen, Mao, Zhenyu

Table of Contents: “… 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 by Song, Pengwu, Wang, Zhiping, Yao, Peng, Xu, Liang, Shen, Shuwei, Shao, Pengfei, Sun, Mingzhai, Xu, Ronald X.

Table of Contents: “… 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 by Zhang, Hui, Wu, Zhiyang, Shangguan, Qianqian, An, Kang

Table of Contents: “…, 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 by Liu, Jingyun, Yang, Daiqin, Chen, Zhenzhong

Table of Contents: “… 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 by Majumdar, Sangita, Shi, Zekun, Vignale, Giovanni

Table of Contents: “…]$. 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 by Guo, Hongshu, Ma, Sijie, Huang, Zechuan, Hu, Yuzhi, Ma, Zeyuan, Zhang, Xinglin, Gong, Yue-Jiao

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