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Neural Processes (NPs) are popular methods in meta-learning that can estimate predictive uncertainty on target datapoints by conditioning on a context dataset.
Deep learning face attributes in the wild
Ziwei Liu, Ping Luo, Xiaogang Wang, and Xiaoou Tang · 2015
Earlier work this paper cites.
Emnist: Extending mnist to handwritten letters
Gregory Cohen, Saeed Afshar, Jonathan Tapson, and Andre Van Schaik · 2017
Earlier work this paper cites.
Deep sets
Manzil Zaheer, Satwik Kottur, Siamak Ravanbakhsh, Barnabas Poczos, Russ R Salakhutdinov, and Alexander J Smola · 2017
Earlier work this paper cites.
Carlos Riquelme, George Tucker, and Jasper Snoek · 2018
Earlier work this paper cites.
Meta-learning surrogate models for sequential decision making
Alexandre Galashov, Jonathan Schwarz, Hyunjik Kim, Marta Garnelo, David Saxton, Pushmeet Kohli, SM Eslami, and Yee Whye Teh · 2019
Earlier work this paper cites.
Convolutional conditional neural processes
Jonathan Gordon, Wessel P Bruinsma, Andrew YK Foong, James Requeima, Yann Dubois, and Richard E Turner · 2019
Earlier work this paper cites.
Attentive neural processes
Hyunjik Kim, Andriy Mnih, Jonathan Schwarz, Marta Garnelo, Ali Eslami, Dan Rosenbaum, Oriol Vinyals, and Yee Whye Teh · 2019
Earlier work this paper cites.
Set transformer: A framework for attention-based permutation-invariant neural networks
Juho Lee, Yoonho Lee, Jungtaek Kim, Adam Kosiorek, Seungjin Choi, and Yee Whye Teh · 2019
Cited alongside, same era.
Sequential neural processes
Gautam Singh, Jaesik Yoon, Youngsung Son, and Sungjin Ahn · 2019
Cited alongside, same era.
Timon Willi, Jonathan Masci, Jürgen Schmidhuber, and Christian Osendorfer · 2019
Cited alongside, same era.
The gaussian neural process
Wessel Bruinsma, James Requeima, Andrew YK Foong, Jonathan Gordon, and Richard E Turner · 2020
Cited alongside, same era.
Generative pretraining from pixels
Mark Chen, Alec Radford, Rewon Child, Jeffrey Wu, Heewoo Jun, David Luan, and Ilya Sutskever · 2020
Cited alongside, same era.
An image is worth 16x16 words: Transformers for image recognition at scale
Visual transformers: Token-based image representation and processing for computer vision
Bichen Wu, Chenfeng Xu, Xiaoliang Dai, Alvin Wan, Peizhao Zhang, Zhicheng Yan, Masayoshi Tomizuka, Joseph Gonzalez, Kurt Keutzer, and Peter Vajda · 2020
Later among the works it cites.
Coordination among neural modules through a shared global workspace
Anirudh Goyal, Aniket Rajiv Didolkar, Alex Lamb, Kartikeya Badola, Nan Rosemary Ke, Nasim Rahaman, Jonathan Binas, Charles Blundell, Michael Curtis Mozer, and Yoshua Bengio · 2021
Later among the works it cites.
Equivariant learning of stochastic fields: Gaussian processes and steerable conditional neural processes
Peter Holderrieth, Michael J Hutchinson, and Yee Whye Teh · 2021
Later among the works it cites.
On contrastive representations of stochastic processes
Emile Mathieu, Adam Foster, and Yee Teh · 2021
Later among the works it cites.
The neural process family: Survey, applications and perspectives
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Alexey Dosovitskiy, Lucas Beyer, Alexander Kolesnikov, Dirk Weissenborn, Xiaohua Zhai, Thomas Unterthiner, Mostafa Dehghani, Matthias Minderer, Georg Heigold, Sylvain Gelly, et al · 2020
Cited alongside, same era.
Bootstrapping neural processes
Juho Lee, Yoonho Lee, Jungtaek Kim, Eunho Yang, Sung Ju Hwang, and Yee Whye Teh · 2020
Cited alongside, same era.
Conditional neural processes
Marta Garnelo, Dan Rosenbaum, Christopher Maddison, Tiago Ramalho, David Saxton, Murray Shanahan, Yee Whye Teh, Danilo Rezende, and SM Ali Eslami
Cited in the paper.
Marta Garnelo, Jonathan Schwarz, Dan Rosenbaum, Fabio Viola, Danilo J Rezende, SM Eslami, and Yee Whye Teh
Cited in the paper.
Perceiver io: A general architecture for structured inputs & outputs
Andrew Jaegle, Sebastian Borgeaud, Jean-Baptiste Alayrac, Carl Doersch, Catalin Ionescu, David Ding, Skanda Koppula, Daniel Zoran, Andrew Brock, Evan Shelhamer, et al
Cited in the paper.
Perceiver: General perception with iterative attention
Andrew Jaegle, Felix Gimeno, Andy Brock, Oriol Vinyals, Andrew Zisserman, and Joao Carreira
Cited in the paper.
Saurav Jha, Dong Gong, Xuesong Wang, Richard E Turner, and Lina Yao · 2022
Closest in time.
Transformer neural processes: Uncertainty-aware meta learning via sequence modeling
Tung Nguyen and Aditya Grover · 2022
Closest in time.