《Dual Adaptive Representation Alignment for Cross-Domain Few-Shot Learning》阅读笔记 Amethyst2022 41 人赞同了该文章 目录 收起 一、论文简介 二、摘要 三、引言和动机 四、方法 4.1 原型特征对齐 4.2 归一化分布对齐 4.3 渐进式元学习框架 五、实验 六、总结&局限性 参考文献 一、论文简介 作者单位:...
Nevertheless, unconstrained situations remain challenging, given their variations in illumination, expression, and pose. To handle such pose variation, we propose the deep representation alignment network (DRA-Net), which aligns the deep representation of the profile face with that of the frontal face...
IDA(Intra-Domain Alignment ,域内节点对齐) 其中Loss_{u}指的是将商品传到用户的消息和用户自己本身的特征信息Xu进行一个alignment操作,因为商品传过来的信息是价格,商标,生产日期等信息,而用户本身的信息是性别,年龄,地址等信息,要将这两种信息进行对齐,之后消息才能得到一个统一的表示。Loss_{v}的意思差不多,只...
2 Related Work Spiking Neural Networks (SNNs).SNN因构建低功耗智能而日益受到关注。通常,获得高性能的SNN算法可以分为两类:(1) ANN-SNN转换(Rueckauer et al., 2016; 2017; Han et al., 2020; Sengupta et al., 2019; Han & Roy, 2020)和 (2) 从头开始直接训练SNN (Wu et al., 2018; 2019)。
Zhang, G., Wang, L., Kang, G., Chen, L., Wei, Y.: SLCA: slow learner with classifier alignment for continual learning on a pre-trained model. arXiv preprintarXiv:2303.05118(2023) Zhang, J., et al.: Class-incremental learning via deep model consolidation. In: Proceedings of the IEE...
In Neural Networks for Signal Processing - Proceedings ... N Intrator,G Tajchman - Neural Networks for Signal Processing 被引量: 27发表: 1991年 Method and system for frame alignment and unsupervised adaptation of acoustic models speech recognitionspeech processingframe based representationunsupervised ...
For each RNN model, we additionally estimated a measure of “feedback control” to characterize the alignment between the read-out weights and the recurrent weights. While RNNs do not receive explicit instantaneous visual feedback, this metric aims to capture the extent to which the output of ...
We present a novel paradigm for statistical machine translation (SMT), based on a joint modeling of word alignment and the topical aspects underlying bilingual document-pairs, via a hidden Markov Bilingual Topic AdMixture (HM-BiTAM). In ... Z Bing,EP Xing - 《Advances in Neural Information ...
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a large number of neurons. This distribution makes it even more challenging to compare representations across different neural networks. To address these issues, previous studies have proposed centred kernel alignment (CKA) to enable quantitative comparisons of representations within and across ...