Publications

This is our catalog of recent publications authored by IBM researchers, in collaboration with the global research community. We’re currently adding our back catalog of more than 110,000 publications. It’s an ever-growing body of work that shows why IBM is one of the most important contributors to modern computing.

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Year

16 results at IEEE TNNLS

Online Spatio-Temporal Learning in Deep Neural Networks
- - Thomas Bohnstingl
  - Stanislaw Wozniak
  - et al.
- 2021
- IEEE TNNLS
Spatially Arranged Sparse Recurrent Neural Networks for Energy Efficient Associative Memory
- - Gouhei Tanaka
  - Ryosho Nakane
  - et al.
- 2020
- IEEE TNNLS
Optimizing kernel machines using deep learning
- - Huan Song
  - Jayaraman J. Thiagarajan
  - et al.
- 2018
- IEEE TNNLS
StructADMM: Achieving Ultrahigh Efficiency in Structured Pruning for DNNs
- - Tianyun Zhang
  - Shaokai Ye
  - et al.
- 2022
- IEEE TNNLS
How Frequency Injection Locking Can Train Oscillatory Neural Networks to Compute in Phase
- - Aida Todri-Sanial
  - Stefania Carapezzi
  - et al.
- 2022
- IEEE TNNLS
Generalized Key-Value Memory to Flexibly Adjust Redundancy in Memory-Augmented Networks
- - Denis Kleyko
  - Kumudu Geethan Karunaratne
  - et al.
- 2022
- IEEE TNNLS
Model Pruning Enables Efficient Federated Learning on Edge Devices
- - Yuang Jiang
  - Shiqiang Wang
  - et al.
- 2021
- IEEE TNNLS
Improved Linear Convergence of Training CNNs with Generalizability Guarantees: A One-Hidden-Layer Case
- - Shuai Zhang
  - Meng Wang
  - et al.
- 2021
- IEEE TNNLS
Multilevel Graph Matching Networks for Deep Graph Similarity Learning
- - Xiang Ling
  - Lingfei Wu
  - et al.
- 2021
- IEEE TNNLS
A Self-Paced Regularization Framework for Multilabel Learning
- - Changsheng Li
  - Fan Wei
  - et al.
- 2018
- IEEE TNNLS