Résultats de la recherche - (coding OR decoding) (algorithm OR (algorithmics OR (algorithmssics OR Algorithmsssics)))

Moner: Motion Correction in Undersampled Radial MRI with Unsupervised Neural Representation par Wu, Qing, Du, Chenhe, Tian, Xuanyu, Yu, Jingyi, Zhang, Yuyao, Wei, Hongjiang

Table des matières: “… to the unpredictability of subject movement. Current state-of-the-art (SOTA) MoCo algorithms often rely on extensive high…”
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Discovering the Gems in Early Layers: Accelerating Long-Context LLMs with 1000x Input Token Reduction par Shi, Zhenmei, Ming, Yifei, Nguyen, Xuan-Phi, Liang, Yingyu, Joty, Shafiq

Table des matières: “… generating answers to a query. Leveraging this insight, we propose an algorithm that uses early layers…”
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The Unlikely Hero: Nonideality in Analog Photonic Neural Networks as Built-in Defender Against Adversarial Attacks par Lu, Haotian, Yin, Ziang, Bhoumik, Partho, Banerjee, Sanmitra, Chakrabarty, Krishnendu, Gu, Jiaqi

Table des matières: “… and boosting efficiency with various hardware/algorithm co-design methods. However, the adversarial robustness…”
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ARB-LLM: Alternating Refined Binarizations for Large Language Models par Li, Zhiteng, Yan, Xianglong, Zhang, Tianao, Qin, Haotong, Xie, Dong, Tian, Jiang, shi, zhongchao, Kong, Linghe, Zhang, Yulun, Yang, Xiaokang

Table des matières: “…-precision weights, we first design an alternating refined binarization (ARB) algorithm to progressively…”
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ForgeryTTT: Zero-Shot Image Manipulation Localization with Test-Time Training par Liu, Weihuang, Shen, Xi, Pun, Chi-Man, Cun, Xiaodong

Table des matières: “…. Previous algorithms to detect these fakes often fail in new, real-world scenarios because they are trained…”
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VolDen: a tool to extract number density from the column density of filamentary molecular clouds par K, Ashesh A., Eswaraiah, Chakali, Reddy, P Ujwal, Wang, Jia-Wei

Table des matières: “… VolDen an novel python-based algorithm to extract the number density map from the column density map…”
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Reward-Augmented Data Enhances Direct Preference Alignment of LLMs par Zhang, Shenao, Liu, Zhihan, Liu, Boyi, Zhang, Yufeng, Yang, Yingxiang, Liu, Yongfei, Chen, Liyu, Sun, Tao, Wang, Zhaoran

Table des matières: “… to adhere to human instructions and intentions. However, existing direct alignment algorithms primarily…”
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Poison-splat: Computation Cost Attack on 3D Gaussian Splatting par Lu, Jiahao, Zhang, Yifan, Shen, Qiuhong, Wang, Xinchao, Yan, Shuicheng

Table des matières: “… increase the computation memory and time needed for 3DGS training, pushing the algorithm towards its worst…”
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Kaleidoscope: Learnable Masks for Heterogeneous Multi-agent Reinforcement Learning par Li, Xinran, Pan, Ling, Zhang, Jun

Table des matières: “… in the context of actor-critic algorithms, which could help improve value estimations.Our empirical evaluations…”
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Optimal Inferential Control of Convolutional Neural Networks par Vaziri, Ali, Fang, Huazhen

Table des matières: “… leverage ensemble Kalman smoothing, a sequential Monte Carlo algorithm, to take advantage of its…”
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LibEER: A Comprehensive Benchmark and Algorithm Library for EEG-based Emotion Recognition par Liu, Huan, Yang, Shusen, Zhang, Yuzhe, Wang, Mengze, Gong, Fanyu, Xie, Chengxi, Liu, Guanjian, Liu, Zejun, Liu, Yong-Jin, Lu, Bao-Liang, Zhang, Dalin

Table des matières: “… benchmark and algorithm library designed to facilitate fair comparisons in EER. LibEER carefully selects…”
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AlphaDPO: Adaptive Reward Margin for Direct Preference Optimization par Wu, Junkang, Wang, Xue, Yang, Zhengyi, Wu, Jiancan, Gao, Jinyang, Ding, Bolin, Wang, Xiang, He, Xiangnan

Table des matières: “… preference optimization algorithm designed to address these limitations by introducing a dynamic reward…”
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AutoTurb: Using Large Language Models for Automatic Algebraic Model Discovery of Turbulence Closure par Zhang, Yu, Zheng, Kefeng, Liu, Fei, Zhang, Qingfu, Wang, Zhenkun

Table des matières: “…. The deduced EARSM can be readily implemented in existing computational fluid dynamic (CFD) codes and promotes…”
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POROver: Improving Safety and Reducing Overrefusal in Large Language Models with Overgeneration and Preference Optimization par Karaman, Batuhan K., Zabir, Ishmam, Benhaim, Alon, Chaudhary, Vishrav, Sabuncu, Mert R., Song, Xia

Table des matières: “… that are highly safe but prone to overrefusal. POROver employs preference optimization algorithms and leverages…”
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Automated Model Discovery for Tensional Homeostasis: Constitutive Machine Learning in Growth and Remodeling par Holthusen, Hagen, Brepols, Tim, Linka, Kevin, Kuhl, Ellen

Table des matières: “…. To address this challenge, built-in physics machine learning algorithms offer significant potential…”
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MotionBank: A Large-scale Video Motion Benchmark with Disentangled Rule-based Annotations par Xu, Liang, Hua, Shaoyang, Lin, Zili, Liu, Yifan, Ma, Feipeng, Yan, Yichao, Jin, Xin, Yang, Xiaokang, Zeng, Wenjun

Table des matières: “… better motion text alignment, we also meticulously devise a motion caption generation algorithm…”
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Ensemble-based, large-eddy reconstruction of wind turbine inflow in a near-stationary atmospheric boundary layer through generative artificial intelligence par Rybchuk, Alex, Martínez-Tossas, Luis A., Letizia, Stefano, Hamilton, Nicholas, Scholbrock, Andy, Maric, Emina, Houck, Daniel R., Herges, Thomas G., de Velder, Nathaniel B., Doubrawa, Paula

Table des matières: “… and atmospheric model information through a diffusion model machine learning algorithm, allowing us to generate…”
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Agent Skill Acquisition for Large Language Models via CycleQD par Kuroki, So, Nakamura, Taishi, Akiba, Takuya, Tang, Yujin

Table des matières: “… of the algorithm, along with a model merging based crossover and an SVD-based mutation. In CycleQD, each task…”
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AlphaChimp: Tracking and Behavior Recognition of Chimpanzees par Ma, Xiaoxuan, Lin, Yutang, Xu, Yuan, Kaufhold, Stephan P., Terwilliger, Jack, Meza, Andres, Zhu, Yixin, Rossano, Federico, Wang, Yizhou

Table des matières: “… of their social interactions and the lack of specialized algorithms. Existing methods often struggle…”
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Brain-like Variational Inference par Vafaii, Hadi, Galor, Dekel, Yates, Jacob L.

Table des matières: “… and Gaussian-based predictive coding models in sparsity, reconstruction, and biological plausibility…”
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