Risultati della ricerca - coding (algorithmsssics OR (algorithm OR (Algorithmssssssics OR (algorithm OR algorithm))))

1000 Layer Networks for Self-Supervised RL: Scaling Depth Can Enable New Goal-Reaching Capabilities di Wang, Kevin, Javali, Ishaan, Bortkiewicz, Michał, Trzciński, Tomasz, Eysenbach, Benjamin

Sommario: “... performance on the self-supervised contrastive RL algorithm by $2\times$ - $50\times$, outperforming other...”
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Inclusive STEAM Education: A Framework for Teaching Cod-2 ing and Robotics to Students with Visually Impairment Using 3 Advanced Computer Vision di Hamash, Mahmoud, Khan, Md Raqib, Tiernan, Peter

Sommario: “... awareness. This paper presents a framework that leverages pre-constructed robots and algorithms...”
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Word2Minecraft: Generating 3D Game Levels through Large Language Models di Huang, Shuo, Nasir, Muhammad Umair, James, Steven, Togelius, Julian

Sommario: “... complexity, enabling dynamic level generation. The system employs a scaling algorithm to maintain spatial...”
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Robust face recognition based on the wing loss and the $\ell_1$ regularization di Yun, Yaoyao, Xu, Jianwen

Sommario: “... images. In this paper, a new wing-constrained sparse coding model(WCSC) and its weighted version(WWCSC...”
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Semi-SMD: Semi-Supervised Metric Depth Estimation via Surrounding Cameras for Autonomous Driving di Xie, Yusen, Huang, Zhengmin, Shen, Shaojie, Ma, Jun

Sommario: “... the depth estimation, which improve the quality of depth estimation. We evaluate our algorithm on DDAD...”
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Reinforced Model Merging di Han, Jiaqi, Ye, Jingwen, Liu, Shunyu, Zhang, Haofei, Song, Jie, Feng, Zunlei, Song, Mingli

Sommario: “... algorithms are often inefficient. In this paper, we present an innovative framework termed Reinforced Model...”
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LRAGE: Legal Retrieval Augmented Generation Evaluation Tool di Park, Minhu, Oh, Hongseok, Choi, Eunkyung, Hwang, Wonseok

Sommario: “... depends on many components: (1) retrieval corpora, (2) retrieval algorithms, (3) rerankers, (4) LLM...”
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aweSOM: a CPU/GPU-accelerated Self-organizing Map and Statistically Combined Ensemble Framework for Machine-learning Clustering Analysis di Ha, Trung, Nättilä, Joonas, Davelaar, Jordy

Sommario: “... and classification, using a Self-organizing Maps (SOM) algorithm that incorporates CPU/GPU acceleration...”
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NoWag: A Unified Framework for Shape Preserving Compression of Large Language Models di Liu, Lawrence, Chakrabarti, Inesh, Li, Yixiao, Wang, Mengdi, Zhao, Tuo, Yang, Lin F.

Sommario: “... and Activation Guided Compression), a unified framework for one-shot shape preserving compression algorithms. We...”
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Robust and Real-time Surface Normal Estimation from Stereo Disparities using Affine Transformations di Kariko, Csongor Csanad, Faisal, Muhammad Rafi, Hajder, Levente

Sommario: “... by reducing computational complexity. To address noise reduction, we develop a custom algorithm inspired...”
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Dynamic Action Interpolation: A Universal Approach for Accelerating Reinforcement Learning with Expert Guidance di Cao, Wenjun

Sommario: “... algorithm with just a few lines of code and without auxiliary networks or additional losses. Our theoretical...”
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UTTG_ A Universal Teleoperation Approach via Online Trajectory Generation di Fang, Shengjian, Zhou, Yixuan, Zheng, Yu, Jiang, Pengyu, Liu, Siyuan, Wang, Hesheng

Sommario: “... pluggable deployment across diverse robots through uniform interfaces. The proposed interpolation algorithm...”
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Robust Orthogonal NMF with Label Propagation for Image Clustering di Liu, Jingjing, Wu, Nian, Xiu, Xianchao, Zhang, Jianhua

Sommario: “... direction method of multipliers (ADMM)-based optimization algorithm. In particular, all subproblems have...”
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FASTDASH: An Implementation of 3D Earthquake Cycle Simulation on Complex Fault Systems Using the Boundary Element Method Accelerated by H-matrices di Cheng, Jinhui, Bhat, Harsha S., Almakari, Michelle, Lecampion, Brice, Peruzzo, Carlo

Sommario: “... to algorithmic limitations. We develop a 3D quasi-dynamic slip dynamics model to overcome this restriction...”
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Open Set Label Shift with Test Time Out-of-Distribution Reference di Ye, Changkun, Tsuchida, Russell, Petersson, Lars, Barnes, Nick

Sommario: “... of the OOD class, 2) an EM algorithm for Maximum Likelihood estimates (MLE) of the target label distribution...”
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Autoencoder-Based Hybrid Replay for Class-Incremental Learning di Nori, Milad Khademi, Kim, Il-Min, Wang, Guanghui

Sommario: “... equations and repulsive force algorithm for the incremental embedding and distribution of new class...”
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CPGD: Toward Stable Rule-based Reinforcement Learning for Language Models di Liu, Zongkai, Meng, Fanqing, Du, Lingxiao, Zhou, Zhixiang, Yu, Chao, Shao, Wenqi, Zhang, Qiaosheng

Sommario: “... Optimization with Policy Drift (CPGD), a novel algorithm designed to stabilize policy learning in LMs. CPGD...”
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MAGI-1: Autoregressive Video Generation at Scale di ai, Sand., Teng, Hansi, Jia, Hongyu, Sun, Lei, Li, Lingzhi, Li, Maolin, Tang, Mingqiu, Han, Shuai, Zhang, Tianning, Zhang, W. Q., Luo, Weifeng, Kang, Xiaoyang, Sun, Yuchen, Cao, Yue, Huang, Yunpeng, Lin, Yutong, Fang, Yuxin, Tao, Zewei, Zhang, Zheng, Wang, Zhongshu, Liu, Zixun, Shi, Dai, Su, Guoli, Sun, Hanwen, Pan, Hong, Wang, Jie, Sheng, Jiexin, Cui, Min, Hu, Min, Yan, Ming, Yin, Shucheng, Zhang, Siran, Liu, Tingting, Yin, Xianping, Yang, Xiaoyu, Song, Xin, Hu, Xuan, Zhang, Yankai, Li, Yuqiao

Sommario: “..., providing high temporal consistency and scalability, which are made possible by several algorithmic...”
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Prime Path Coverage in the GNU Compiler Collection di Kvalsvik, Jørgen

Sommario: “.../decision coverage (MC/DC). We improve on the current state-of-the-art algorithms for enumerating prime...”
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EquivPruner: Boosting Efficiency and Quality in LLM-Based Search via Action Pruning di Liu, Jiawei, Chen, Qisi, Zhang, Jianshu, Liu, Quan, Lian, Defu

Sommario: “...Large Language Models (LLMs) excel at complex reasoning through search algorithms, yet current...”
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