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Learning Sparse & Ternary Neural Networks with Entropy-Constrained Trained Ternarization (EC2T)

2 April 2020

Papers citing "Learning Sparse & Ternary Neural Networks with Entropy-Constrained Trained Ternarization (EC2T)"

7 / 7 papers shown

Coded Deep Learning: Framework and AlgorithmIEEE Transactions on Information Theory (IEEE Trans. Inf. Theory), 2025

En-Hui Yang

Shayan Mohajer Hamidi

251

20 Jan 2025

Sparsifying Binary Networks

Riccardo Schiavone

Maria A. Zuluaga

189

11 Jul 2022

Adaptive Differential Filters for Fast and Communication-Efficient Federated Learning

214

09 Apr 2022

Beyond Explaining: Opportunities and Challenges of XAI-Based Model ImprovementInformation Fusion (Inf. Fusion), 2022

296

131

15 Mar 2022

RED++ : Data-Free Pruning of Deep Neural Networks via Input Splitting and Output Merging

323

30 Sep 2021

$ECQ$^{\text{x}}$: Explainability-Driven Quantization for Low-Bit and Sparse DNNs$

ECQ

^{\text{x}}

: Explainability-Driven Quantization for Low-Bit and Sparse DNNs

714

09 Sep 2021

FantastIC4: A Hardware-Software Co-Design Approach for Efficiently Running 4bit-Compact Multilayer PerceptronsIEEE Open Journal of Circuits and Systems (JOCS), 2020

442

17 Dec 2020