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ARTIFICIAL NEURAL NETWORKS AND MACHINE LEARNING-ICANN 2025, PT I

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论文数53
被引数
期刊论文 53
发表时间
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Backpropagation Through Space, Time and the Brain空间、时间和大脑中的反向传播
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deleteHaider, Paul; Ellenberger, Benjamin; Jordan, Jakob; Max, Kevin; Jaras, Ismael; Kriener, Laura; Benitez, Federico; Petrovici, Mihai A.
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The Explainability-Performance Coefficient: A New Metric for Model Transparency可解释性-性能系数：衡量模型透明度的新指标
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deleteOliva, Christian; Lago-Fernandez, Luis F.
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Cascade Pre-attention: Regulating Neuronal Activation Distributions in MetaFormer-Based Spiking Neural Networks级联预注意力：调节MetaFormer基脉冲神经网络中的神经元激活分布
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deleteXue, Yukun; Feng, Lichen
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Firing Rates and Representational Error in Efficient Spiking Networks Are Bounded by Design高效脉冲网络中的发放率与表征误差由设计所限定
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deleteUrdu, Matin; Lorenz, Gabriel Matias; Huang, Ching-Peng; Panzeri, Stefano; Koren, Veronika
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D2R: Dual Regularization Loss with Collaborative Adversarial Generation for Model RobustnessD2R: 基于协同对抗生成的双正则化损失以提高模型鲁棒性
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deleteLiu, Zhenyu; Liang, Huizhi; Ranjan, Rajiv; Zhu, Zhanxing; Snasel, Vaclav; Ojha, Varun
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FedTP: Traceable Passport-Based Ownership Verification for Federated Deep Neural Network ModelsFedTP：用于联邦深度神经网络模型的基于可追溯护照的所有权验证
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deleteSa, Qirui; Zhang, Yifei; You, WeiJing; Ma, CunQing; Qiu, WeiYang
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Improving Stability of Parameter Sharing in Cooperative Multi-agent Reinforcement Learning改进合作多智能体强化学习中参数共享的稳定性
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deleteLi, Yurui; Zhang, Li; Li, Shijian; Pan, Gang
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Continuous Fair SMOTE - Fairness-Aware Stream Learning from Imbalanced Data连续公平SMOTE - 基于不平衡数据的公平感知流学习
deleteARTIFICIAL NEURAL NETWORKS AND MACHINE LEARNING-ICANN 2025, PT I
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deleteLammers, Kathrin; Vaquet, Valerie; Hammer, Barbara
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A Framework for Uncertainty Quantification Based on Nearest Neighbors Across Layers基于跨层最近邻的不确定性量化框架
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deleteFont, Miguel N.; Jorro-Aragoneses, Jose L.; Alaiz, Carlos M.
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Identification and Realization of a Class of Discrete Event Systems by Neural Networks-Timed Petri Nets一类离散事件系统的神经网络-时间Petri网辨识与实现
deleteARTIFICIAL NEURAL NETWORKS AND MACHINE LEARNING-ICANN 2025, PT I
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deleteKuroe, Yasuaki
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A Unified Platform to Evaluate STDP Learning Rule and Synapse Model Using Pattern Recognition in a Spiking Neural Network基于模式识别的脉冲神经网络中STDP学习规则和突触模型的统一评估平台
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deleteMaskeen, Jaskirat Singh; Lashkare, Sandip
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Dynamic Ensembles Towards Out-of-Distribution Generalization of Affect Models动态集成方法用于情感模型的未知分布泛化
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deleteCaruana, Sean Vella; Papathanasiou, Athanasios; Makantasis, Konstantinos
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Characterizing Trainability, Expressivity and Generalization of Neural Architecture with Metrics from Neural Tangent Kernel使用神经切线核指标表征神经架构的可训练性、表达能力和泛化能力
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deleteChen, Xinyu; Li, Jinlong; Amin, Faiza; Chen, Huanhuan
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Perpetual Generation: Online Learning of Linear State-Space Models from a Single Stream永恒生成：从单一数据流中在线学习线性状态空间模型
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deleteCasoni, Michele; Guidi, Tommaso; Melacci, Stefano; Betti, Alessandro; Gori, Marco
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MTL-SIMNAS: Task Similarity-Driven Neural Architecture Search for Enhanced Multi-task LearningMTL-SIMNAS：基于任务相似性驱动的神经架构搜索以增强多任务学习
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deleteDanneels, Quinten; Verbeke, Mathias
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Stochastic Covariance Regularization for Imbalanced Datasets不平衡数据集的随机协方差正则化
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deleteErdem, Ahmet; Tekt, Faik Boray
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DelGrad: Exact Event-Based Gradients in Spiking Networks for Training Delays and WeightsDelGrad：用于训练延迟和权重的脉冲网络中的基于事件的精确梯度
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deleteGoeltz, Julian; Weber, Jimmy; Kriener, Laura; Billaudelle, Sebastian; Lake, Peter; Schemmel, Johannes; Payvand, Melika; Petrovici, Mihai A.
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A Fokker-Planck Perspective on the Flow of Information in Continuous Memory Neural Networks基于Fokker-Planck视角的连续记忆神经网络中的信息流
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deleteWedemann, Roseli S.; Plastino, Angel R.
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The Power of Max Pooling Layer最大池化层的力量
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deleteSima, Jiri; Cabessa, Jeremie
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XOOD: A Self-supervised Algorithm for Detecting Out-of-Distribution Data for Image ClassificationXOOD：一种用于图像分类中检测分布外数据的自监督算法
deleteARTIFICIAL NEURAL NETWORKS AND MACHINE LEARNING-ICANN 2025, PT I
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deleteBerglind, Frej; Rajasekarani, Magesh; Sajol, Md Saiful Islam; Temam, Haron; Mukhopadhyay, Supratik; Das, Kamalika; Kumar, Sricharan; Kallurupalli, Kumar
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