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12/01/2020
Communication-Efficient Federated Distillation
Communication constraints are one of the major challenges preventing the...
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04/02/2020
Learning Sparse Ternary Neural Networks with Entropy-Constrained Trained Ternarization (EC2T)
Deep neural networks (DNN) have shown remarkable success in a variety of...
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07/27/2019
DeepCABAC: A Universal Compression Algorithm for Deep Neural Networks
The field of video compression has developed some of the most sophistica...
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05/15/2019
DeepCABAC: Context-adaptive binary arithmetic coding for deep neural network compression
We present DeepCABAC, a novel context-adaptive binary arithmetic coder f...
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12/18/2018
Entropy-Constrained Training of Deep Neural Networks
We propose a general framework for neural network compression that is mo...
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05/30/2018
Counterstrike: Defending Deep Learning Architectures Against Adversarial Samples by Langevin Dynamics with Supervised Denoising Autoencoder
Adversarial attacks on deep learning models have been demonstrated to be...
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05/22/2018