2 citations · 2 across the 2 of their papers we have counts for
4 papers
Adaptive Consensus Gradients Aggregation for Scaled Distributed Training
Yoni Choukroun, Shlomi Azoulay, Pavel Kisilev
Distributed machine learning has recently become a critical paradigm for training large models on vast datasets. We examine the stochastic optimization problem for deep learning wi…
Primal-Dual Sequential Subspace Optimization for Saddle-point Problems
Yoni Choukroun, Michael Zibulevsky, Pavel Kisilev
We introduce a new sequential subspace optimization method for large-scale saddle-point problems. It solves iteratively a sequence of auxiliary saddle-point problems in low-dimensi…
Low-bit Quantization of Neural Networks for Efficient Inference
Yoni Choukroun, Eli Kravchik, Fan Yang +1
Recent machine learning methods use increasingly large deep neural networks to achieve state of the art results in various tasks. The gains in performance come at the cost of a sub…
Deep Learning for Decoding of Linear Codes - A Syndrome-Based Approach
Amir Bennatan, Yoni Choukroun, Pavel Kisilev
We present a novel framework for applying deep neural networks (DNN) to soft decoding of linear codes at arbitrary block lengths. Unlike other approaches, our framework allows unco…