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HyperEmbed: Tradeoffs Between Resources and Performance in NLP Tasks
  with Hyperdimensional Computing enabled Embedding of n-gram Statistics
v1v2 (latest)

HyperEmbed: Tradeoffs Between Resources and Performance in NLP Tasks with Hyperdimensional Computing enabled Embedding of n-gram Statistics

IEEE International Joint Conference on Neural Network (IJCNN), 2019
3 March 2020
Pedro Alonso
Kumar Shridhar
Denis Kleyko
Evgeny Osipov
Marcus Liwicki
ArXiv (abs)PDFHTML

Papers citing "HyperEmbed: Tradeoffs Between Resources and Performance in NLP Tasks with Hyperdimensional Computing enabled Embedding of n-gram Statistics"

14 / 14 papers shown
A Vector Symbolic Approach to Multiple Instance Learning
A Vector Symbolic Approach to Multiple Instance Learning
Ehsan Ahmed Dhrubo
Mohammad Mahmudul Alam
Edward Raff
Tim Oates
James Holt
140
0
0
20 Nov 2025
HDC-X: Efficient Medical Data Classification for Embedded Devices
HDC-X: Efficient Medical Data Classification for Embedded Devices
Jianglan Wei
Zhenyu Zhang
Pengcheng Wang
Mingjie Zeng
Zhigang Zeng
75
0
0
18 Sep 2025
Capacity Analysis of Vector Symbolic Architectures
Capacity Analysis of Vector Symbolic Architectures
K. Clarkson
Shashanka Ubaru
E. Yang
275
12
0
24 Jan 2023
Streaming Encoding Algorithms for Scalable Hyperdimensional Computing
Streaming Encoding Algorithms for Scalable Hyperdimensional Computing
Anthony Thomas
Behnam Khaleghi
Gopi Krishna Jha
S. Dasgupta
N. Himayat
Ravi Iyer
Nilesh Jain
Tajana Rosing
332
8
0
20 Sep 2022
Computing with Hypervectors for Efficient Speaker Identification
Computing with Hypervectors for Efficient Speaker Identification
Ping-Chen Huang
Denis Kleyko
J. Rabaey
Bruno A. Olshausen
P. Kanerva
333
2
0
28 Aug 2022
A Survey on Hyperdimensional Computing aka Vector Symbolic
  Architectures, Part II: Applications, Cognitive Models, and Challenges
A Survey on Hyperdimensional Computing aka Vector Symbolic Architectures, Part II: Applications, Cognitive Models, and ChallengesACM Computing Surveys (CSUR), 2021
Denis Kleyko
D. Rachkovskij
Evgeny Osipov
A. Rahim
437
167
0
12 Nov 2021
Hyperseed: Unsupervised Learning with Vector Symbolic Architectures
Hyperseed: Unsupervised Learning with Vector Symbolic Architectures
Evgeny Osipov
Sachin Kahawala
D. Haputhanthri
Thimal Kempitiya
Daswin De Silva
D. Alahakoon
Denis Kleyko
324
35
0
15 Oct 2021
On Effects of Compression with Hyperdimensional Computing in Distributed
  Randomized Neural Networks
On Effects of Compression with Hyperdimensional Computing in Distributed Randomized Neural NetworksInternational Work-Conference on Artificial and Natural Neural Networks (IWANN), 2021
A. Rosato
Massimo Panella
Evgeny Osipov
Denis Kleyko
161
4
0
17 Jun 2021
Generalized Learning Vector Quantization for Classification in
  Randomized Neural Networks and Hyperdimensional Computing
Generalized Learning Vector Quantization for Classification in Randomized Neural Networks and Hyperdimensional ComputingIEEE International Joint Conference on Neural Network (IJCNN), 2021
Cameron Diao
Denis Kleyko
J. Rabaey
Bruno A. Olshausen
163
30
0
17 Jun 2021
Vector Symbolic Architectures as a Computing Framework for Emerging
  Hardware
Vector Symbolic Architectures as a Computing Framework for Emerging HardwareProceedings of the IEEE (Proc. IEEE), 2021
Denis Kleyko
Mike Davies
E. P. Frady
P. Kanerva
Spencer J. Kent
...
Evgeny Osipov
J. Rabaey
D. Rachkovskij
Abbas Rahimi
Friedrich T. Sommer
279
81
0
09 Jun 2021
Hyperdimensional Computing for Efficient Distributed Classification with
  Randomized Neural Networks
Hyperdimensional Computing for Efficient Distributed Classification with Randomized Neural NetworksIEEE International Joint Conference on Neural Network (IJCNN), 2021
A. Rosato
Massimo Panella
Denis Kleyko
195
18
0
02 Jun 2021
End to End Binarized Neural Networks for Text Classification
End to End Binarized Neural Networks for Text Classification
Harshil Jain
Akshat Agarwal
Kumar Shridhar
Denis Kleyko
MQ
225
30
0
11 Oct 2020
Classification using Hyperdimensional Computing: A Review
Classification using Hyperdimensional Computing: A ReviewIEEE Circuits and Systems Magazine (IEEE Circuits Syst. Mag.), 2020
Lulu Ge
Keshab K. Parhi
257
212
0
19 Apr 2020
Commentaries on "Learning Sensorimotor Control with Neuromorphic
  Sensors: Toward Hyperdimensional Active Perception" [Science Robotics Vol. 4
  Issue 30 (2019) 1-10
Commentaries on "Learning Sensorimotor Control with Neuromorphic Sensors: Toward Hyperdimensional Active Perception" [Science Robotics Vol. 4 Issue 30 (2019) 1-10
Denis Kleyko
Ross W. Gayler
Evgeny Osipov
226
9
0
25 Mar 2020
1
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