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Hyperdimensional computing (HDC) is an emerging learning paradigm that computes with high dimensional binary vectors.
The perceptron: a probabilistic model for information storage and organization in the brain
Frank Rosenblatt · 1958
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Derek Smith and Paul Stanford · 1990
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The spatter code for encoding concepts at many levels
Pentti Kanerva · 1994
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Distributed representations and nested compositional structure
Tony A Plate · 1994
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Holographic reduced representations
T.A. Plate · 1995
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Fully distributed representation
Pentti Kanerva et al · 1997
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Multiplicative binding, representation operators & analogy (workshop poster)
Ross W Gayler · 1998
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Gradient-based learning applied to document recognition
Y. Lecun, L. Bottou, Y. Bengio, and P. Haffner · 1998
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Representations and characters of groups
Gordon James, Martin W Liebeck, and Martin Liebeck · 2001
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A primer on kernel methods
Jean-Philippe Vert, Koji Tsuda, and Bernhard Schölkopf · 2004
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Random features for large-scale kernel machines
Ali Rahimi and Benjamin Recht · 2007
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Hyperdimensional computing: An introduction to computing in distributed representation with high-dimensional random vectors
Pentti Kanerva · 2009
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Human activity recognition on smartphones using a multiclass hardware-friendly support vector machine
Davide Anguita, Alessandro Ghio, Luca Oneto, Xavier Parra, and Jorge L. Reyes-Ortiz · 2012
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Representation theory: a first course , volume 129
William Fulton and Joe Harris · 2013
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Representing Objects, Relations, and Sequences
Stephen I. Gallant and T. Wendy Okaywe · 2013
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Binarized neural networks
Itay Hubara, Matthieu Courbariaux, Daniel Soudry, Ran El-Yaniv, and Yoshua Bengio · 2016
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Holographic graph neuron: A bioinspired architecture for pattern processing
Denis Kleyko, Evgeny Osipov, Alexander Senior, Asad I Khan, and Yaşar Ahmet Şekerciogğlu · 2016
An introduction to hyperdimensional computing for robotics
Peer Neubert, Stefan Schubert, and Peter Protzel · 2019
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F5-hd: Fast flexible fpga-based framework for refreshing hyperdimensional computing
Sahand Salamat, Mohsen Imani, Behnam Khaleghi, and Tajana Rosing · 2019
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Dynamic hyperdimensional computing for improving accuracy-energy efficiency trade-offs
Yu-Chuan Chuang, Cheng-Yang Chang, and An-Yeu Andy Wu · 2020
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Classification using hyperdimensional computing: A review
Lulu Ge and Keshab K. Parhi · 2020
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Thrifty: Training with hyperdimensional computing across flash hierarchy
Saransh Gupta, Justin Morris, Mohsen Imani, Ranganathan Ramkumar, Jeffrey Yu, Aniket Tiwari, Baris Aksanli, and Tajana Rosing · 2020
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Dual: Acceleration of clustering algorithms using digital-based processing in-memory
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Design and Implementation of Carry Select Adder Using T-Spice
Pinaki Satpathy · 2016
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UCI machine learning repository, 2017
Dheeru Dua and Casey Graff · 2017
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Fashion-mnist: a novel image dataset for benchmarking machine learning algorithms, 2017
Han Xiao, Kashif Rasul, and Roland Vollgraf · 2017
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A theory of sequence indexing and working memory in recurrent neural networks
E Paxon Frady, Denis Kleyko, and Friedrich T Sommer · 2018
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Laelaps: An energy-efficient seizure detection algorithm from long-term human ieeg recordings without false alarms
Alessio Burrello, Lukas Cavigelli, Kaspar Schindler, Luca Benini, and Abbas Rahimi · 2019
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Vector-Derived Transformation Binding: An Improved Binding Operation for Deep Symbol-Like Processing in Neural Networks
Jan Gosmann and Chris Eliasmith · 2019
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Mohsen Imani, Saikishan Pampana, Saransh Gupta, Minxuan Zhou, Yeseong Kim, and Tajana Rosing · 2020
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Geniehd: Efficient dna pattern matching accelerator using hyperdimensional computing
Yeseong Kim, Mohsen Imani, Niema Moshiri, and Tajana Rosing · 2020
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Theoretical foundations of hyperdimensional computing, 2020
Anthony Thomas, Sanjoy Dasgupta, and Tajana Rosing · 2020
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Hypervector design for efficient hyperdimensional computing on edge devices
Toygun Basaklar, Yigit Tuncel, Shruti Yadav Narayana, Suat Gumussoy, and Umit Y. Ogras · 2021
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Computing on functions using randomized vector representations, 2021
E. Paxon Frady, Denis Kleyko, Christopher J. Kymn, Bruno A. Olshausen, and Friedrich T. Sommer · 2021
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Hyperrec: Efficient recommender systems with hyperdimensional computing
Yunhui Guo, Mohsen Imani, Jaeyoung Kang, Sahand Salamat, Justin Morris, Baris Aksanli, Yeseong Kim, and Tajana Rosing · 2021
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Onlinehd: Robust, efficient, and single-pass online learning using hyperdimensional system
Alejandro Hernandez-Cane, Namiko Matsumoto, Eric Ping, and Mohsen Imani · 2021
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Revisiting hyperdimensional learning for fpga and low-power architectures
Mohsen Imani, Zhuowen Zou, Samuel Bosch, Sanjay Anantha Rao, Sahand Salamat, Venkatesh Kumar, Yeseong Kim, and Tajana Rosing · 2021
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Hyperdimensional computing as a framework for systematic aggregation of image descriptors, 2021
Peer Neubert and Stefan Schubert · 2021
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A comparison of vector symbolic architectures
Kenny Schlegel, Peer Neubert, and Peter Protzel · 2021
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