TapNet: Neural Network Augmented with Task-Adaptive Projection for Few-Shot Learning
暂无分享,去创建一个
[1] Jürgen Schmidhuber,et al. Long Short-Term Memory , 1997, Neural Computation.
[2] Fei-Fei Li,et al. ImageNet: A large-scale hierarchical image database , 2009, 2009 IEEE Conference on Computer Vision and Pattern Recognition.
[3] Joshua B. Tenenbaum,et al. Human-level concept learning through probabilistic program induction , 2015, Science.
[4] Jimmy Ba,et al. Adam: A Method for Stochastic Optimization , 2014, ICLR.
[5] Michael S. Bernstein,et al. ImageNet Large Scale Visual Recognition Challenge , 2014, International Journal of Computer Vision.
[6] Jian Sun,et al. Deep Residual Learning for Image Recognition , 2015, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[7] Oriol Vinyals,et al. Matching Networks for One Shot Learning , 2016, NIPS.
[8] Bartunov Sergey,et al. Meta-Learning with Memory-Augmented Neural Networks , 2016 .
[9] Hugo Larochelle,et al. Optimization as a Model for Few-Shot Learning , 2016, ICLR.
[10] Richard S. Zemel,et al. Prototypical Networks for Few-shot Learning , 2017, NIPS.
[11] Sergey Levine,et al. Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks , 2017, ICML.
[12] Tsendsuren Munkhdalai,et al. Rapid Adaptation with Conditionally Shifted Neurons , 2017, ICML.
[13] Sergey Levine,et al. Probabilistic Model-Agnostic Meta-Learning , 2018, NeurIPS.
[14] J. Schulman,et al. Reptile: a Scalable Metalearning Algorithm , 2018 .
[15] Aaron C. Courville,et al. FiLM: Visual Reasoning with a General Conditioning Layer , 2017, AAAI.
[16] Pieter Abbeel,et al. A Simple Neural Attentive Meta-Learner , 2017, ICLR.
[17] Yi Yang,et al. Transductive Propagation Network for Few-shot Learning , 2018, ArXiv.
[18] Tao Xiang,et al. Learning to Compare: Relation Network for Few-Shot Learning , 2017, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.
[19] Joaquin Vanschoren,et al. Meta-Learning: A Survey , 2018, Automated Machine Learning.
[20] Joshua B. Tenenbaum,et al. Meta-Learning for Semi-Supervised Few-Shot Classification , 2018, ICLR.
[21] Alexandre Lacoste,et al. TADAM: Task dependent adaptive metric for improved few-shot learning , 2018, NeurIPS.
[22] Razvan Pascanu,et al. Meta-Learning with Latent Embedding Optimization , 2018, ICLR.
[23] Yu-Chiang Frank Wang,et al. A Closer Look at Few-shot Classification , 2019, ICLR.