Elad Hoffer

发表

Train longer, generalize better: closing the generalization gap in large batch training of neural networks

Elad Hoffer, Daniel Soudry, Itay Hubara, 2017, NIPS.

Exponentially vanishing sub-optimal local minima in multilayer neural networks

Elad Hoffer, Daniel Soudry, Daniel Soudry, 2017, ICLR.

Deep Metric Learning Using Triplet Network

Nir Ailon, Elad Hoffer, Elad Hoffer, 2014, SIMBAD.

Task Agnostic Continual Learning Using Online Variational Bayes pdf

Elad Hoffer, Daniel Soudry, Chen Zeno, 2018, 1803.10123.

EEP UNSUPERVISED LEARNING THROUGH SPATIAL CONTRASTING

Elad Hoffer, 2017 .

Quantized Back-Propagation: Training Binarized Neural Networks with Quantized Gradients

Elad Hoffer, Daniel Soudry, Itay Hubara, 2018 .

XPONENTIALLY VANISHING SUB-OPTIMAL LOCAL MINIMA IN MULTILAYER NEURAL NETWORKS

Daniel Soudry, Elad Hoffer, 2018 .

The Knowledge Within: Methods for Data-Free Model Compression

Daniel Soudry, Itay Hubara, Elad Hoffer, 2019, 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

At Stability's Edge: How to Adjust Hyperparameters to Preserve Minima Selection in Asynchronous Training of Neural Networks?

Mor Shpigel Nacson, Daniel Soudry, Elad Hoffer, 2019, ICLR.

Logarithmic Unbiased Quantization: Simple 4-bit Training in Deep Learning

Hilla Ben Yaacov, Daniel Soudry, Elad Hoffer, 2021, 2112.10769.

Semi-supervised deep learning by metric embedding pdf

Nir Ailon, Elad Hoffer, Elad Hoffer, 2016, ICLR.

The Implicit Bias of Gradient Descent on Separable Data pdf

Nathan Srebro, Elad Hoffer, Daniel Soudry, 2017, J. Mach. Learn. Res..

Scalable Methods for 8-bit Training of Neural Networks

Elad Hoffer, Ron Banner, Daniel Soudry, 2018, NeurIPS.

ACIQ: Analytical Clipping for Integer Quantization of neural networks pdf

Elad Hoffer, Ron Banner, Daniel Soudry, 2018, ArXiv.

Augment Your Batch: Improving Generalization Through Instance Repetition

Torsten Hoefler, Elad Hoffer, Daniel Soudry, 2020, 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

Norm matters: efficient and accurate normalization schemes in deep networks

Elad Hoffer, Ron Banner, Daniel Soudry, 2018, NeurIPS.

Mix & Match: training convnets with mixed image sizes for improved accuracy, speed and scale resiliency pdf

Torsten Hoefler, Elad Hoffer, Daniel Soudry, 2019, ArXiv.

Neural gradients are near-lognormal: improved quantized and sparse training

Brian Chmiel, Liad Ben-Uri, Elad Hoffer, 2020, ICLR.

Logarithmic Unbiased Quantization: Practical 4-bit Training in Deep Learning pdf

Brian Chmiel, Elad Hoffer, Ron Banner, 2021, ArXiv.

Augment your batch: better training with larger batches pdf

Torsten Hoefler, Elad Hoffer, Daniel Soudry, 2019, ArXiv.

Deep unsupervised learning through spatial contrasting pdf

Nir Ailon, Elad Hoffer, Itay Hubara, 2016, ArXiv.

On the Blindspots of Convolutional Networks pdf

Elad Hoffer, Daniel Soudry, Shai Fine, 2018, ArXiv.

Infer2Train: leveraging inference for better training of deep networks

Elad Hoffer, Daniel Soudry, Berry Weinstein, 2018 .

Bayesian Gradient Descent: Online Variational Bayes Learning with Increased Robustness to Catastrophic Forgetting and Weight Pruning pdf

Elad Hoffer, Daniel Soudry, Chen Zeno, 2018, ArXiv.

Task-Agnostic Continual Learning Using Online Variational Bayes With Fixed-Point Updates

Daniel Soudry, Elad Hoffer, Chen Zeno, 2020, Neural Computation.

Fix your classifier: the marginal value of training the last weight layer

Daniel Soudry, Itay Hubara, Elad Hoffer, 2018, ICLR.

Exponentially vanishing sub-optimal local minima in multilayer neural networks

Daniel Soudry, Elad Hoffer, 2017, ICLR.

Augment your batch: better training with larger batches

Daniel Soudry, Itay Hubara, Elad Hoffer, 2019, ArXiv.

Neural gradients are lognormally distributed: understanding sparse and quantized training pdf

Brian Chmiel, Liad Ben-Uri, Moran Shkolnik, 2020, ArXiv.

Accurate Neural Training with 4-bit Matrix Multiplications at Standard Formats

Daniel Soudry, Elad Hoffer, Ron Banner, 2023, ICLR.

Augment Your Batch: Improving Generalization Through Instance Repetition

Daniel Soudry, Itay Hubara, Elad Hoffer, 2020, 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).