Risultati della ricerca - (endedededededededededededeDecoding OR (endedededededededededededeDecoding OR coding)) algorithm

Applied Computer Vision on 2-Dimensional Lung X-Ray Images for Assisted Medical Diagnosis of Pneumonia di Ligueran, Ralph Joseph S. D., Santos, Manuel Luis C. Delos, Tinio, Ronaldo S., Valencia, Emmanuel H.

Sommario: “... of ordinary pneumonia. A convolutional neural network algorithm was implemented in a Python-coded, Flask...”
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A Framework for Evaluating Privacy-Utility Trade-off in Vertical Federated Learning di Kang, Yan, Luo, Jiahuan, He, Yuanqin, Zhang, Xiaojin, Fan, Lixin, Yang, Qiang

Sommario: “... on developing a specific protection or attack mechanism for a particular VFL algorithm. In this work, we propose...”
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GBO:AMulti-Granularity Optimization Algorithm via Granular-ball for Continuous Problems di Xia, Shuyin, Lin, Xinyu, Wang, Guan, Chen, De-Gang, Zhao, Sen, Wang, Guoyin, Liang, Jing

Sommario: “... that GBO outperforms popular and advanced evolutionary algorithms. The code can be found in the supporting...”
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Faulting original McEliece's implementations is possible: How to mitigate this risk? di Giraud, Vincent, Bouffard, Guillaume

Sommario: “.... The McEliece cryptosystem is a code-based public key algorithm introduced in 1978 that is not subject to well...”
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Train a Real-world Local Path Planner in One Hour via Partially Decoupled Reinforcement Learning and Vectorized Diversity di Xin, Jinghao, Kim, Jinwoo, Li, Zhi, Li, Ning

Sommario: “... simulator Sparrow. Specifically, the ASL intends to improve the training efficiency of DRL algorithms...”
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NUBO: A Transparent Python Package for Bayesian Optimization di Diessner, Mike, Wilson, Kevin J., Whalley, Richard D.

Sommario: “.... Clean and understandable code, precise references, and thorough documentation ensure transparency, while...”
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Learning in Inverse Optimization: Incenter Cost, Augmented Suboptimality Loss, and Algorithms di Scroccaro, Pedro Zattoni, Atasoy, Bilge, Esfahani, Peyman Mohajerin

Sommario: “... algorithm, which we name Stochastic Approximate Mirror Descent. This algorithm combines stochastic...”
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MADiff: Offline Multi-agent Learning with Diffusion Models di Zhu, Zhengbang, Liu, Minghuan, Mao, Liyuan, Kang, Bingyi, Xu, Minkai, Yu, Yong, Ermon, Stefano, Zhang, Weinan

Sommario: “... further interactions, making it a challenging task. Q-learning algorithms struggle with extrapolation...”
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Image Clustering via the Principle of Rate Reduction in the Age of Pretrained Models di Chu, Tianzhe, Tong, Shengbang, Ding, Tianjiao, Dai, Xili, Haeffele, Benjamin David, Vidal, René, Ma, Yi

Sommario: “... developed a novel algorithm to estimate the number of clusters in a given dataset. We then show that the pre...”
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AutoTAMP: Autoregressive Task and Motion Planning with LLMs as Translators and Checkers di Chen, Yongchao, Arkin, Jacob, Dawson, Charles, Zhang, Yang, Roy, Nicholas, Fan, Chuchu

Sommario: “...) algorithms, making factorization into subgoals untenable. Rather than using LLMs to directly plan task sub...”
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Active Policy Improvement from Multiple Black-box Oracles di Liu, Xuefeng, Yoneda, Takuma, Wang, Chaoqi, Walter, Matthew R., Chen, Yuxin

Sommario: “... improvement algorithms that perform imitation learning from multiple suboptimal oracles. In particular, MAPS...”
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Fast QSC Solver: tool for systematic study of N=4 Super-Yang-Mills spectrum di Gromov, Nikolay, Hegedus, Arpad, Julius, Julius, Sokolova, Nika

Sommario: “... easily access a large number of excited states. Here, we fill this gap by developing a new algorithm...”
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Cross-Validation Is All You Need: A Statistical Approach To Label Noise Estimation di Chen, Jianan, Ramanathan, Vishwesh, Xu, Tony, Martel, Anne L.

Sommario: “... label noise detection algorithms that effectively identify noisy examples by pinpointing the samples...”
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SRL: Scaling Distributed Reinforcement Learning to Over Ten Thousand Cores di Mei, Zhiyu, Fu, Wei, Gao, Jiaxuan, Wang, Guangju, Zhang, Huanchen, Wu, Yi

Sommario: “... and massively parallelized training and easy development of customized algorithms. Our evaluation shows that SRL...”
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Reinforcement Learning and Data-Generation for Syntax-Guided Synthesis di Parsert, Julian, Polgreen, Elizabeth

Sommario: “...Program synthesis is the task of automatically generating code based on a specification. In Syntax...”
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Improving Semi-Supervised Semantic Segmentation with Dual-Level Siamese Structure Network di Tain, Zhibo, Zhang, Xiaolin, Zhang, Peng, Zhan, Kun

Sommario: “... algorithms is limited by the difficulty of fully exploiting the potential of unlabeled data. To address...”
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One-Time Compilation of Device-Level Instructions for Quantum Subroutines di Dalvi, Aniket S., Whitlow, Jacob, D'Onofrio, Marissa, Riesebos, Leon, Chen, Tianyi, Phiri, Samuel, Brown, Kenneth R., Baker, Jonathan M.

Sommario: “..., and variational algorithms. The control in these routines iteratively switches between the classical...”
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High-Resolution Document Shadow Removal via A Large-Scale Real-World Dataset and A Frequency-Aware Shadow Erasing Net di Li, Zinuo, Chen, Xuhang, Pun, Chi-Man, Cun, Xiaodong

Sommario: “... the visual quality and readability of the digital copies. Different from the algorithms for natural shadow...”
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Task-Aware Machine Unlearning and Its Application in Load Forecasting di Xu, Wangkun, Teng, Fei

Sommario: “... completeness and model performance, a performance-aware algorithm is proposed by evaluating the sensitivity...”
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OmniLRS: A Photorealistic Simulator for Lunar Robotics di Richard, Antoine, Kamohara, Junnosuke, Uno, Kentaro, Santra, Shreya, van der Meer, Dave, Olivares-Mendez, Miguel, Yoshida, Kazuya

Sommario: “...Developing algorithms for extra-terrestrial robotic exploration has always been challenging. Along...”
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