Search Results - coding (algorithmics OR (algorithm OR (algorithm OR algorithm)))

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

Table of Contents: “… 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 by Lu, Yao, Liu, Wanwei, Zhang, Tanghaoran, Yang, Kang, Zhang, Yang, Xu, Wenyu, Sun, Longfei, Mao, Xinjun, Gao, Shuzheng, Lyu, Michael R.

Table of Contents: “… 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 by Zhang, Yifan, Huang, Chen, Zhang, Yueke, Shao, Huajie, Leach, Kevin, Huang, Yu

Table of Contents: “…, 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 by Daniels, Mara, Gerbelot, Cédric, Krzakala, Florent, Zdeborová, Lenka

Table of Contents: “… 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 by Qin, Lang, Yan, Rui, Tang, Huajin

Table of Contents: “… 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 by Peng, Xutan, Zhang, Yipeng, Yang, Jingfeng, Stevenson, Mark

Table of Contents: “…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 by Mostafa, Eslam, Aly, Hussein A., Elliethy, Ahmed

Table of Contents: “…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 by Arpin, Sarah, Clements, James, Dartois, Pierrick, Eriksen, Jonathan Komada, Kutas, Péter, Wesolowski, Benjamin

Table of Contents: “… 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 by Hansen, Nicklas, Su, Hao, Wang, Xiaolong

Table of Contents: “…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 by Hu, Xiuyuan, Liu, Guoqing, Zhao, Yang, Zhang, Hao

Table of Contents: “…, 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 by Veviurko, Grigorii, Böhmer, Wendelin, de Weerdt, Mathijs

Table of Contents: “… 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 by Xing, Shangyu, Zhao, Fei, Wu, Zhen, An, Tuo, Chen, Weihao, Li, Chunhui, Zhang, Jianbing, Dai, Xinyu

Table of Contents: “… 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 by Li, Yingru, Xu, Jiawei, Han, Lei, Luo, Zhi-Quan

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

Table of Contents: “…-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 by Pham, Bang-Dang, Tran, Phong, Tran, Anh, Pham, Cuong, Nguyen, Rang, Hoai, Minh

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

Table of Contents: “…, 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 by Xu, Long, Chen, Yongquan, Huang, Rui, Wu, Feng, Lai, Shiwu

Table of Contents: “…. 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 by 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.

Table of Contents: “…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 by Verger, Mélina, Fan, Chunyang, Lallé, Sébastien, Bouchet, François, Luengo, Vanda

Table of Contents: “… 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 by Caruso, Emanuele, Pelosin, Francesco, Simoni, Alessandro, Boschetti, Marco

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