Ron Banner

Orcid: 0000-0002-7333-7830

Affiliations:
  • Hewlett Packard Enterprise Labs, Haifa, Israel


According to our database1, Ron Banner authored at least 34 papers between 2007 and 2024.

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Bibliography

2024
EXAQ: Exponent Aware Quantization For LLMs Acceleration.
CoRR, 2024

Scaling FP8 training to trillion-token LLMs.
CoRR, 2024

2023
DropCompute: simple and more robust distributed synchronous training via compute variance reduction.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Minimum Variance Unbiased N: M Sparsity for the Neural Gradients.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

Accurate Neural Training with 4-bit Matrix Multiplications at Standard Formats.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022
Optimal Fine-Grained N: M sparsity for Activations and Neural Gradients.
CoRR, 2022

Energy awareness in low precision neural networks.
CoRR, 2022

On Recoverability of Graph Neural Network Representations.
CoRR, 2022

Power Awareness in Low Precision Neural Networks.
Proceedings of the Computer Vision - ECCV 2022 Workshops, 2022

2021
Loss aware post-training quantization.
Mach. Learn., 2021

CAT: Compression-Aware Training for bandwidth reduction.
J. Mach. Learn. Res., 2021

Logarithmic Unbiased Quantization: Practical 4-bit Training in Deep Learning.
CoRR, 2021

Accelerated Sparse Neural Training: A Provable and Efficient Method to Find N: M Transposable Masks.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Accurate Post Training Quantization With Small Calibration Sets.
Proceedings of the 38th International Conference on Machine Learning, 2021

GAN "Steerability" without optimization.
Proceedings of the 9th International Conference on Learning Representations, 2021

Neural gradients are near-lognormal: improved quantized and sparse training.
Proceedings of the 9th International Conference on Learning Representations, 2021

2020
Improving Post Training Neural Quantization: Layer-wise Calibration and Integer Programming.
CoRR, 2020

Neural gradients are lognormally distributed: understanding sparse and quantized training.
CoRR, 2020

Robust Quantization: One Model to Rule Them All.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Feature Map Transform Coding for Energy-Efficient CNN Inference.
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

Thanks for Nothing: Predicting Zero-Valued Activations with Lightweight Convolutional Neural Networks.
Proceedings of the Computer Vision - ECCV 2020, 2020

2019
Post training 4-bit quantization of convolutional networks for rapid-deployment.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

2018
ACIQ: Analytical Clipping for Integer Quantization of neural networks.
CoRR, 2018

Norm matters: efficient and accurate normalization schemes in deep networks.
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Scalable methods for 8-bit training of neural networks.
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

2013
Image deblurring using maps of highlights.
Proceedings of the IEEE International Conference on Acoustics, 2013

2011
Automatic Policy Rule Extraction for Configuration Management.
Proceedings of the POLICY 2011, 2011

What makes good image composition?
Proceedings of the Human Vision and Electronic Imaging XVI, 2011

2010
Designing Low-Capacity Backup Networks for Fast Restoration.
Proceedings of the INFOCOM 2010. 29th IEEE International Conference on Computer Communications, 2010

The PARIS Algorithm for Determining Latent Topics.
Proceedings of the ICDMW 2010, 2010

2008
Multi-Objective Topology Control in Wireless Networks.
Proceedings of the INFOCOM 2008. 27th IEEE International Conference on Computer Communications, 2008

2007
The power of tuning: a novel approach for the efficient design of survivable networks.
IEEE/ACM Trans. Netw., 2007

Multipath routing algorithms for congestion minimization.
IEEE/ACM Trans. Netw., 2007

Bottleneck Routing Games in Communication Networks.
IEEE J. Sel. Areas Commun., 2007


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