Suchergebnisse - coding ((Algorithmsssicsics OR (algorithm OR algorithm)) OR (algorithm OR algorithm))

Towards Improved Objective Perceptual Audio Quality Assessment -- Part 1: A Novel Data-Driven Cognitive Model von Delgado, Pablo M., Herre, Jürgen

Inhaltsangabe: “… assessment tools have been developed over time to algorithmically predict quality ratings from subjective …”
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BDiff: Block-aware and Accurate Text-based Code Differencing von Lu, Yao, Liu, Wanwei, Zhang, Tanghaoran, Yang, Kang, Zhang, Yang, Xu, Wenyu, Sun, Longfei, Mao, Xinjun, Gao, Shuzheng, Lyu, Michael R.

Inhaltsangabe: “… on text blocks spanning multiple lines. Such EAs are common in developers' practice, such as moving a code …”
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Pre-Training Representations of Binary Code Using Contrastive Learning von Zhang, Yifan, Huang, Chen, Zhang, Yueke, Shao, Huajie, Leach, Kevin, Huang, Yu

Inhaltsangabe: “… , and (3) an intermediate representation learning algorithm to train a binary code embedding. We further …”
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Multi-layer State Evolution Under Random Convolutional Design von Daniels, Mara, Gerbelot, Cédric, Krzakala, Florent, Zdeborová, Lenka

Inhaltsangabe: “… in statistical inference and computational imaging. Theoretical analysis of reconstruction algorithms under …”
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A Low Latency Adaptive Coding Spiking Framework for Deep Reinforcement Learning von Qin, Lang, Yan, Rui, Tang, Huajin

Inhaltsangabe: “… suffers from fixed coding methods, still faces the problems of high latency and poor versatility …”
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On the Security Vulnerabilities of Text-to-SQL Models von Peng, Xutan, Zhang, Yipeng, Yang, Jingfeng, Stevenson, Mark

Inhaltsangabe: “… Although it has been demonstrated that Natural Language Processing (NLP) algorithms are vulnerable …”
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Accelerating genetic optimization of nonlinear model predictive control by learning optimal search space size von Mostafa, Eslam, Aly, Hussein A., Elliethy, Ahmed

Inhaltsangabe: “… Genetic algorithm (GA) is typically used to solve nonlinear model predictive control's optimization …”
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Finding Orientations of Supersingular Elliptic Curves and Quaternion Orders von Arpin, Sarah, Clements, James, Dartois, Pierrick, Eriksen, Jonathan Komada, Kutas, Péter, Wesolowski, Benjamin

Inhaltsangabe: “… explicit algorithms and in-depth complexity analysis. We also consider the question in terms …”
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TD-MPC2: Scalable, Robust World Models for Continuous Control von Hansen, Nicklas, Su, Hao, Wang, Xiaolong

Inhaltsangabe: “… TD-MPC is a model-based reinforcement learning (RL) algorithm that performs local trajectory …”
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De novo Drug Design using Reinforcement Learning with Multiple GPT Agents von Hu, Xiuyuan, Liu, Guoqing, Zhao, Yang, Zhang, Hao

Inhaltsangabe: “… , we propose MolRL-MGPT, a reinforcement learning algorithm with multiple GPT agents for drug molecular …”
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To the Max: Reinventing Reward in Reinforcement Learning von Veviurko, Grigorii, Böhmer, Wendelin, de Weerdt, Mathijs

Inhaltsangabe: “… environments and can be easily combined with state-of-the-art RL algorithms. In the experiments, we study …”
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EFUF: Efficient Fine-grained Unlearning Framework for Mitigating Hallucinations in Multimodal Large Language Models von Xing, Shangyu, Zhao, Fei, Wu, Zhen, An, Tuo, Chen, Weihao, Li, Chunhui, Zhang, Jianbing, Dai, Xinyu

Inhaltsangabe: “… paired responses with and without hallucinations, and then employ various alignment algorithms to improve …”
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Q-Star Meets Scalable Posterior Sampling: Bridging Theory and Practice via HyperAgent von Li, Yingru, Xu, Jiawei, Han, Lei, Luo, Zhi-Quan

Inhaltsangabe: “… We propose HyperAgent, a reinforcement learning (RL) algorithm based on the hypermodel framework …”
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Autonomous Mapless Navigation on Uneven Terrains von Jardali, Hassan, Ali, Mahmoud, Liu, Lantao

Inhaltsangabe: “… -aware subgoal that leads the robot to its final destination. The algorithm is designed to run in real …”
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Blur2Blur: Blur Conversion for Unsupervised Image Deblurring on Unknown Domains von Pham, Bang-Dang, Tran, Phong, Tran, Anh, Pham, Cuong, Nguyen, Rang, Hoai, Minh

Inhaltsangabe: “… This paper presents an innovative framework designed to train an image deblurring algorithm …”
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Hybrid Tree Tensor Networks for quantum simulation von Schuhmacher, Julian, Ballarin, Marco, Baiardi, Alberto, Magnifico, Giuseppe, Tacchino, Francesco, Montangero, Simone, Tavernelli, Ivano

Inhaltsangabe: “… , their practical usefulness and many operational aspects of hTN-based algorithms, like the optimization of hTNs …”
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Structured Click Control in Transformer-based Interactive Segmentation von Xu, Long, Chen, Yongquan, Huang, Rui, Wu, Feng, Lai, Shiwu

Inhaltsangabe: “… . However, it's hard for existing algorithms to obtain precise and robust responses after multiple clicks …”
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Integration of Scanning Probe Microscope with High-Performance Computing: fixed-policy and reward-driven workflows implementation von Liu, Yu, Pratiush, Utkarsh, Bemis, Jason, Proksch, Roger, Emery, Reece, Rack, Philip D., Liu, Yu-Chen, Yang, Jan-Chi, Udovenko, Stanislav, Trolier-McKinstry, Susan, Kalinin, Sergei V.

Inhaltsangabe: “… The rapid development of computation power and machine learning algorithms has paved the way …”
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A Fair Post-Processing Method based on the MADD Metric for Predictive Student Models von Verger, Mélina, Fan, Chunyang, Lallé, Sébastien, Bouchet, François, Luengo, Vanda

Inhaltsangabe: “… sufficiently accurate and fair in their predictions. To evaluate algorithmic fairness, a new metric has been …”
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Dynamic Label Injection for Imbalanced Industrial Defect Segmentation von Caruso, Emanuele, Pelosin, Francesco, Simoni, Alessandro, Boschetti, Marco

Inhaltsangabe: “… Injection (DLI) algorithm to impose a uniform distribution in the input batch. Our algorithm computes …”
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