Ron Banner

Publication Activity (10 Years)

Years Active: 2004-2023
Publications (10 Years): 33

Top Topics

Minimum Variance

Integer Program

Top Venues

ECCV Workshops (7)

Publications

Niv Giladi, Shahar Gottlieb, Moran Shkolnik, Asaf Karnieli, Ron Banner, Elad Hoffer, Kfir Yehuda Levy, Daniel Soudry
DropCompute: simple and more robust distributed synchronous training via compute variance reduction. CoRR (2023)
Niv Giladi, Shahar Gottlieb, Moran Shkolnik, Asaf Karnieli, Ron Banner, Elad Hoffer, Kfir Y. Levy, Daniel Soudry
DropCompute: simple and more robust distributed synchronous training via compute variance reduction. NeurIPS (2023)
Brian Chmiel, Ron Banner, Elad Hoffer, Hilla Ben-Yaacov, Daniel Soudry
Accurate Neural Training with 4-bit Matrix Multiplications at Standard Formats. ICLR (2023)
Brian Chmiel, Itay Hubara, Ron Banner, Daniel Soudry
Minimum Variance Unbiased N: M Sparsity for the Neural Gradients. ICLR (2023)
Brian Chmiel, Itay Hubara, Ron Banner, Daniel Soudry
Optimal Fine-Grained N: M sparsity for Activations and Neural Gradients. CoRR (2022)
Nurit Spingarn-Eliezer, Ron Banner, Hilla Ben-Yaacov, Elad Hoffer, Tomer Michaeli
Power Awareness in Low Precision Neural Networks. ECCV Workshops (7) (2022)
Nurit Spingarn-Eliezer, Ron Banner, Elad Hoffer, Hilla Ben-Yaacov, Tomer Michaeli
Energy awareness in low precision neural networks. CoRR (2022)
Maxim Fishman, Chaim Baskin, Evgenii Zheltonozhskii, Ron Banner, Avi Mendelson
On Recoverability of Graph Neural Network Representations. CoRR (2022)
Nurit Spingarn, Ron Banner, Tomer Michaeli
GAN "Steerability" without optimization. ICLR (2021)
Itay Hubara, Yury Nahshan, Yair Hanani, Ron Banner, Daniel Soudry
Accurate Post Training Quantization With Small Calibration Sets. ICML (2021)
Yury Nahshan, Brian Chmiel, Chaim Baskin, Evgenii Zheltonozhskii, Ron Banner, Alex M. Bronstein, Avi Mendelson
Loss aware post-training quantization. Mach. Learn. 110 (11) (2021)
Brian Chmiel, Liad Ben-Uri, Moran Shkolnik, Elad Hoffer, Ron Banner, Daniel Soudry
Neural gradients are near-lognormal: improved quantized and sparse training. ICLR (2021)
Itay Hubara, Brian Chmiel, Moshe Island, Ron Banner, Seffi Naor, Daniel Soudry
Accelerated Sparse Neural Training: A Provable and Efficient Method to Find N: M Transposable Masks. CoRR (2021)
Chaim Baskin, Brian Chmiel, Evgenii Zheltonozhskii, Ron Banner, Alex M. Bronstein, Avi Mendelson
CAT: Compression-Aware Training for bandwidth reduction. J. Mach. Learn. Res. 22 (2021)
Brian Chmiel, Ron Banner, Elad Hoffer, Hilla Ben-Yaacov, Daniel Soudry
Logarithmic Unbiased Quantization: Practical 4-bit Training in Deep Learning. CoRR (2021)
Itay Hubara, Brian Chmiel, Moshe Island, Ron Banner, Joseph Naor, Daniel Soudry
Accelerated Sparse Neural Training: A Provable and Efficient Method to Find N: M Transposable Masks. NeurIPS (2021)
Moran Shkolnik, Brian Chmiel, Ron Banner, Gil Shomron, Yury Nahshan, Alex M. Bronstein, Uri C. Weiser
Robust Quantization: One Model to Rule Them All. NeurIPS (2020)
Nurit Spingarn-Eliezer, Ron Banner, Tomer Michaeli
GAN Steerability without optimization. CoRR (2020)
Itay Hubara, Yury Nahshan, Yair Hanani, Ron Banner, Daniel Soudry
Improving Post Training Neural Quantization: Layer-wise Calibration and Integer Programming. CoRR (2020)
Moran Shkolnik, Brian Chmiel, Ron Banner, Gil Shomron, Yury Nahshan, Alexander M. Bronstein, Uri C. Weiser
Robust Quantization: One Model to Rule Them All. CoRR (2020)
Brian Chmiel, Chaim Baskin, Evgenii Zheltonozhskii, Ron Banner, Yevgeny Yermolin, Alex Karbachevsky, Alex M. Bronstein, Avi Mendelson
Feature Map Transform Coding for Energy-Efficient CNN Inference. IJCNN (2020)
Brian Chmiel, Liad Ben-Uri, Moran Shkolnik, Elad Hoffer, Ron Banner, Daniel Soudry
Neural gradients are lognormally distributed: understanding sparse and quantized training. CoRR (2020)
Gil Shomron, Ron Banner, Moran Shkolnik, Uri C. Weiser
Thanks for Nothing: Predicting Zero-Valued Activations with Lightweight Convolutional Neural Networks. ECCV (10) (2020)
Brian Chmiel, Chaim Baskin, Ron Banner, Evgenii Zheltonozhskii, Yevgeny Yermolin, Alex Karbachevsky, Alexander M. Bronstein, Avi Mendelson
Feature Map Transform Coding for Energy-Efficient CNN Inference. CoRR (2019)
Gil Shomron, Ron Banner, Moran Shkolnik, Uri C. Weiser
Thanks for Nothing: Predicting Zero-Valued Activations with Lightweight Convolutional Neural Networks. CoRR (2019)
Chaim Baskin, Brian Chmiel, Evgenii Zheltonozhskii, Ron Banner, Alexander M. Bronstein, Avi Mendelson
CAT: Compression-Aware Training for bandwidth reduction. CoRR (2019)
Yury Nahshan, Brian Chmiel, Chaim Baskin, Evgenii Zheltonozhskii, Ron Banner, Alexander M. Bronstein, Avi Mendelson
Loss Aware Post-training Quantization. CoRR (2019)
Ron Banner, Yury Nahshan, Daniel Soudry
Post training 4-bit quantization of convolutional networks for rapid-deployment. NeurIPS (2019)
Ron Banner, Itay Hubara, Elad Hoffer, Daniel Soudry
Scalable methods for 8-bit training of neural networks. NeurIPS (2018)
Ron Banner, Yury Nahshan, Elad Hoffer, Daniel Soudry
ACIQ: Analytical Clipping for Integer Quantization of neural networks. CoRR (2018)
Elad Hoffer, Ron Banner, Itay Golan, Daniel Soudry
Norm matters: efficient and accurate normalization schemes in deep networks. CoRR (2018)
Elad Hoffer, Ron Banner, Itay Golan, Daniel Soudry
Norm matters: efficient and accurate normalization schemes in deep networks. NeurIPS (2018)
Ron Banner, Itay Hubara, Elad Hoffer, Daniel Soudry
Scalable Methods for 8-bit Training of Neural Networks. CoRR (2018)
Fabiane Queiroz, Tsang Ing Ren, Lior Shapira, Ron Banner
Image deblurring using maps of highlights. ICASSP (2013)
Ron Banner
What makes good image composition? Human Vision and Electronic Imaging (2011)
Ron Banner, Omer Barkol, Ruth Bergman, Shahar Golan, Yuval Carmel, Ido Ish-Hurwitz, Oded Zilinsky
Automatic Policy Rule Extraction for Configuration Management. POLICY (2011)
Ron Banner, Ariel Orda
Designing Low-Capacity Backup Networks for Fast Restoration. INFOCOM (2010)
Michal Aharon, Ira Cohen, Arik Itskovitch, Inbal Marhaim, Ron Banner
The PARIS Algorithm for Determining Latent Topics. ICDM Workshops (2010)
Ron Banner, Ariel Orda
Multi-Objective Topology Control in Wireless Networks. INFOCOM (2008)
Ron Banner, Ariel Orda
Bottleneck Routing Games in Communication Networks. IEEE J. Sel. Areas Commun. 25 (6) (2007)
Ron Banner, Ariel Orda
Multipath routing algorithms for congestion minimization. IEEE/ACM Trans. Netw. 15 (2) (2007)
Ron Banner, Ariel Orda
The power of tuning: a novel approach for the efficient design of survivable networks. IEEE/ACM Trans. Netw. 15 (4) (2007)
Ron Banner, Ariel Orda
Bottleneck Routing Games in Communication Networks. INFOCOM (2006)
Ron Banner, Ariel Orda
Multipath Routing Algorithms for Congestion Minimization. NETWORKING (2005)
Ron Banner, Ariel Orda
The Power of Tuning: A Novel Approach for the Efficient Design of Survivable Networks. ICNP (2004)