Risultati della ricerca - (decoding OR (coding OR encoding)) (algorithm OR (algorithmics OR algorithmics))

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...”
Testo

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...”
Testo

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...”
Testo

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...”
Testo

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...”
Testo

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...”
Testo

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...”
Testo

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...”
Testo

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...”
Testo

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...”
Testo

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...”
Testo

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...”
Testo

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...”
Testo

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...”
Testo

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...”
Testo

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...”
Testo

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...”
Testo

AI-Researcher: Autonomous Scientific Innovation di Tang, Jiabin, Xia, Lianghao, Li, Zhonghang, Huang, Chao

Sommario: “...The powerful reasoning capabilities of Large Language Models (LLMs) in mathematics and coding...”
Testo

ALPS: Attention Localization and Pruning Strategy for Efficient Alignment of Large Language Models di Chen, Hao, Li, Haoze, Xiao, Zhiqing, Gao, Lirong, Zhang, Qi, Hu, Xiaomeng, Wang, Ningtao, Fu, Xing, Zhao, Junbo

Sommario: “... (ALPS), an efficient algorithm that localizes the most task-sensitive attention heads and prunes...”
Testo

Maximizing Confidence Alone Improves Reasoning di Prabhudesai, Mihir, Chen, Lili, Ippoliti, Alex, Fragkiadaki, Katerina, Liu, Hao, Pathak, Deepak

Sommario: “..., science, and coding problems. However, central to any RL algorithm is the reward function, and reward...”
Testo