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The focus in machine learning has branched beyond training classifiers on a single task to investigating how previously acquired knowledge in a source domain can be leveraged to facilitate learning in a related target domain, known as inductive transfer learning.
Direct Transfer of Learned Information Among Neural Networks
Pratt, L. Y., Mostow, J., and Kamm, C. A. (1991) · 1991
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ISOLET Dataset
Cole, R. and Fanty, M. (1994) · 1994
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Multitask Learning
Caruana, R. (1997) · 1997
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Learning a similarity metric discriminatively, with application to face verification
Chopra, S., Hadsell, R., and LeCun, Y. (2005) · 2005
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Domain adaptation vs. transfer learning
Daumé, H. (2007) · 2007
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ImageNet: A Large-Scale Hierarchical Image Database
Deng, J., Dong, W., Socher, R., Li, L.-J., Li, K., and Fei-Fei, L. (2009) · 2009
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MNIST handwritten digit database
LeCun, Y. and Cortes, C. (2010) · 2010
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A Survey on Transfer Learning
Pan, S. J. and Yang, Q. (2010) · 2010
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ImageNet Classification with Deep Convolutional Neural Networks
Krizhevsky, A., Sutskever, I., and Hinton, G. E. (2012) · 2012
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A Survey on Metric Learning for Feature Vectors and Structured Data
Bellet, A., Habrard, A., and Sebban, M. (2013) · 2013
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Adam: A method for stochastic optimization
Kingma, D. and Ba, J. (2014) · 2014
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DeepReID: Deep Filter Pairing Neural Network for Person Re-identification
Li, W., Zhao, R., Xiao, T., and Wang, X. (2014) · 2014
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Learning and Transferring Mid-level Image Representations Using Convolutional Neural Networks
Oquab, M., Bottou, L., Laptev, I., and Sivic, J. (2014) · 2014
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Deep Metric Learning for Person Re-identification
Yi, D., Lei, Z., Liao, S., and Li, S. Z. (2014) · 2014
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How transferable are features in deep neural networks?
Yosinski, J., Clune, J., Bengio, Y., and Lipson, H. (2014) · 2014
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Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift
Ioffe, S. and Szegedy, C. (2015) · 2015
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Siamese neural networks for one-shot image recognition
Koch, G., Zemel, R., and Salakhutdinov, R. (2015) · 2015
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Human-level concept learning through probabilistic program induction
Lake, B. M., Salakhutdinov, R., and Tenenbaum, J. B. (2015) · 2015
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Learning Transferable Features with Deep Adaptation Networks
Long, M., Cao, Y., Wang, J., and Jordan, M. (2015) · 2015
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Finn, C., Abbeel, P., and Levine, S. (2017) · 2017
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Learning to Remember Rare Events
Kaiser, L., Nachum, O., Roy, A., and Bengio, S. (2017) · 2017
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Deep Metric Learning for Visual Understanding: An Overview of Recent Advances
Lu, J., Hu, J., and Zhou, J. (2017) · 2017
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Optimization as a model for few-shot learning
Ravi, S. and Larochelle, H. (2017) · 2017
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Prototypical Networks for Few-shot Learning
Snell, J., Swersky, K., and Zemel, R. (2017) · 2017
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Few-Shot Learning Through an Information Retrieval Lens
Triantafillou, E., Zemel, R., and Urtasun, R. (2017) · 2017
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FaceNet: A Unified Embedding for Face Recognition and Clustering
Schroff, F., Kalenichenko, D., and Philbin, J. (2015) · 2015
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Scalable Person Re-identification: A Benchmark
Zheng, L., Shen, L., Tian, L., Wang, S., Wang, J., and Tian, Q. (2015) · 2015
Cited alongside, same era.
Deep metric learning via lifted structured feature embedding
Oh Song, H., Xiang, Y., Jegelka, S., and Savarese, S. (2016) · 2016
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Learning Deep Embeddings with Histogram Loss
Ustinova, E. and Lempitsky, V. (2016) · 2016
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Matching Networks for One Shot Learning
Vinyals, O., Blundell, C., Lillicrap, T., kavukcuoglu, k., and Wierstra, D. (2016) · 2016
Cited alongside, same era.
Snore sound classification using image-based deep spectrum features
Amiriparian, S., Gerczuk, M., Ottl, S., Cummins, N., Freitag, M., Pugachevskiy, S., Baird, A., and Schuller, B. W. (2017) · 2017
Cited alongside, same era.
Deep Metric Learning with Angular Loss
Wang, J., Zhou, F., Wen, S., Liu, X., and Lin, Y. (2017) · 2017
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Knowledge Projection for Deep Neural Networks
Zhang, Z., Ning, G., and He, Z. (2017) · 2017
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Tiny ImageNet Visual Recognition Challenge
Fei-Fei, L., Johnson, J., and Yeung, S. (2018) · 2018
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Learning Deep Disentangled Embeddings with the F-Statistic Loss
Ridgeway, K. and Mozer, M. C. (2018) · 2018
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Beyond Sharing Weights for Deep Domain Adaptation
Rozantsev, A., Salzmann, M., and Fua, P. (2018) · 2018
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Tensorflow Hub
TensorFlow (2018) · 2018
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