The DOI matches its Crossref record; 40 of the 40 references it cites were found in a registry or an index.
Ferroelectric ternary content-addressable memory for one-shot learning
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Citations
Cites
ImageNet classification with deep convolutional neural networks
Krizhevsky, A., Sutskever, I., & Hinton, G. E. (2017) · Communications of the ACM · doi:10.1145/3065386 · Cited by 112,155
LeCun, Y., Bengio, Y., & Hinton, G. (2015) · Nature · doi:10.1038/nature14539 · Cited by 84,126
Sequence to Sequence Learning with Neural Networks
Sutskever, I., Vinyals, O., & Le, Q. V. (2014) · arXiv · doi:10.48550/arxiv.1409.3215 · Cited by 17,766
Speech recognition with deep recurrent neural networks
Graves, A., Mohamed, A.-R., & Hinton, G. (2013) · 2013 IEEE International Conference on Acoustics, Speech and Signal Processing · doi:10.1109/icassp.2013.6638947 · Cited by 8,893
Catastrophic Interference in Connectionist Networks: The Sequential Learning Problem
McCloskey, M., & Cohen, N. J. (1989) · Psychology of Learning and Motivation · doi:10.1016/s0079-7421(08)60536-8 · Cited by 3,770
Human-level concept learning through probabilistic program induction
Lake, B. M., Salakhutdinov, R., & Tenenbaum, J. B. (2015) · Science · doi:10.1126/science.aab3050 · Cited by 2,817 · cited 1×
“In our study, we consider one-and few-shot learning in the context of the Omniglot dataset 34 —a commonly used benchmark for few-shot learning 12 —that contains 1,623 characters from 50 different alphabets.”
MethodMeta-learning with memory-augmented neural networks
Santoro, A., Bartunov, S., Botvinick, M., Wierstra, D., & Lillicrap, T. (2016) · International Conference on Machine Learning · Cited by 1,504
Hybrid computing using a neural network with dynamic external memory
Graves, A., Wayne, G., Reynolds, M., Harley, T., Danihelka, I., Grabska-Barwińska, A., Colmenarejo, S. G., Grefenstette, E., Ramalho, T., Agapiou, J., et al. (2016) · Nature · doi:10.1038/nature20101 · Cited by 1,412
A perspective view and survey of meta-learning
Vilalta, R., & Drissi, Y. (2002) · Artificial Intelligence Review · doi:10.1023/a:1019956318069 · Cited by 1,108
Near-Optimal Hashing Algorithms for Approximate Nearest Neighbor in High Dimensions
Andoni, A., & Indyk, P. (2006) · 2006 47th Annual IEEE Symposium on Foundations of Computer Science (FOCS'06) · doi:10.1109/focs.2006.49 · Cited by 1,067
Cited by
Memory devices and applications for in-memory computing
Sebastian, A., Le Gallo, M., Khaddam-Aljameh, R., & Eleftheriou, E. (2020) · Nature Nanotechnology · doi:10.1038/s41565-020-0655-z · Cited by 2,289
Memristive technologies for data storage, computation, encryption, and radio-frequency communication
Lanza, M., Sebastian, A., Lu, W. D., Le Gallo, M., Chang, M.-F., Akinwande, D., Puglisi, F. M., Alshareef, H. N., Liu, M., & Roldan, J. B. (2022) · Science · doi:10.1126/science.abj9979 · Cited by 708
Wurtzite and fluorite ferroelectric materials for electronic memory
Kim, K.-H., Karpov, I., Olsson, R. H., & Jariwala, D. (2023) · Nature Nanotechnology · doi:10.1038/s41565-023-01361-y · Cited by 283
Mao, R., Wen, B., Kazemi, A., Zhao, Y., Laguna, A. F., Lin, R., Wong, N., Niemier, M., Hu, X. S., Sheng, X., et al. (2022) · Nature Communications · doi:10.1038/s41467-022-33629-7 · Cited by 71
Self-citationA memristive deep belief neural network based on silicon synapses
Wang, W., Danial, L., Li, Y., Herbelin, E., Pikhay, E., Roizin, Y., Hoffer, B., Wang, Z., & Kvatinsky, S. (2022) · Nature Electronics · doi:10.1038/s41928-022-00878-9 · Cited by 66
Metadata
- Authors
- Ni, K., Yin, X., Laguna, A. F., Joshi, S., Dünkel, S., Trentzsch, M., Müller, J., Beyer, S., Niemier, M., Hu, X. S., & Datta, S.
- Venue
- Nature Electronics
- Published
- 2019-11-18
- Volume
- 2
- Issue
- 11
- Pages
- 521-529
- ISSN
- 2520-1131 (ISSN-L)
- OpenAlex
- W2988640543
- Cited by
- 382
- References
- 40
- FWCI
- 13.13
- Type
- journal article
- Language
- en
- Open access
- closed
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- Ni, K., Yin, X., Laguna, A. F., Joshi, S., Dünkel, S., Trentzsch, M., Müller, J., Beyer, S., Niemier, M., Hu, X. S., & Datta, S. (2019). Ferroelectric ternary content-addressable memory for one-shot learning. Nature Electronics. https://doi.org/10.1038/s41928-019-0321-3
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
