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Kernel PCA for Out-of-Distribution Detection Kun Fang
Neural Information Processing Systems
Out-of-Distribution (OoD) detection is vital for the reliability of Deep Neural Networks (DNNs).
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Exploring the trade-off between deep-learning and explainable models for brain-machine interfaces Luis H. Cubillos
Neural Information Processing Systems
BMI applications, ranging from speech production to finger control.
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DiffuPac: Contextual Mimicry in Adversarial Packets Generation via Diffusion Model
Neural Information Processing Systems
Deep Learning (DL) have significantly enhanced Network Intrusion Detection Systems (NIDS), improving the effectiveness of cybersecurity operations.
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- Asia > Japan > Honshū > Kantō > Saitama Prefecture > Saitama (0.04)
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f169ec4d47933ea4896b994af8ff4f17-Paper-Conference.pdf
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Empirical results show consistent and significant performance gains afforded by a singleround structurization.
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CODE: Contrasting Self-generated Description to Combat Hallucination in Large Multi-modal Models Junho Kim Hyun Jun Kim Y eon Ju Kim Yong Man Ro
Neural Information Processing Systems
Large Multi-modal Models (LMMs) have recently demonstrated remarkable abilities in visual context understanding and coherent response generation.
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