Ron Banner - RankMe

50 papers A* 15B 3Misc 1Journal 26Unranked 5

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Distributed Training under Packet Loss. CoRR Erez Weintraub, Ron Banner, Ariel Orda
2025	J	`jnl`	FP4 All the Way: Fully Quantized Training of LLMs. CoRR Brian Chmiel, Maxim Fishman, Ron Banner, Daniel Soudry
2025	A*	`conf`	Scaling FP8 training to trillion-token LLMs. ICLR Maxim Fishman, Brian Chmiel, Ron Banner, Daniel Soudry
2024	J	`jnl`	EXAQ: Exponent Aware Quantization For LLMs Acceleration. CoRR Moran Shkolnik, Maxim Fishman, Brian Chmiel, Hilla Ben-Yaacov, Ron Banner, Kfir Yehuda Levy
2024	J	`jnl`	Scaling FP8 training to trillion-token LLMs. CoRR Maxim Fishman, Brian Chmiel, Ron Banner, Daniel Soudry
2023	A*	`conf`	Accurate Neural Training with 4-bit Matrix Multiplications at Standard Formats. ICLR Brian Chmiel, Ron Banner, Elad Hoffer, Hilla Ben-Yaacov, Daniel Soudry
2023	A*	`conf`	DropCompute: simple and more robust distributed synchronous training via compute variance reduction. NeurIPS Niv Giladi, Shahar Gottlieb, Moran Shkolnik, Asaf Karnieli, Ron Banner, Elad Hoffer, Kfir Y. Levy, Daniel Soudry
2023	J	`jnl`	DropCompute: simple and more robust distributed synchronous training via compute variance reduction. CoRR Niv Giladi, Shahar Gottlieb, Moran Shkolnik, Asaf Karnieli, Ron Banner, Elad Hoffer, Kfir Yehuda Levy, Daniel Soudry
2023	A*	`conf`	Minimum Variance Unbiased N: M Sparsity for the Neural Gradients. ICLR Brian Chmiel, Itay Hubara, Ron Banner, Daniel Soudry
2022	J	`jnl`	Energy awareness in low precision neural networks. CoRR Nurit Spingarn-Eliezer, Ron Banner, Elad Hoffer, Hilla Ben-Yaacov, Tomer Michaeli
2022	J	`jnl`	On Recoverability of Graph Neural Network Representations. CoRR Maxim Fishman, Chaim Baskin, Evgenii Zheltonozhskii, Ron Banner, Avi Mendelson
2022	J	`jnl`	Optimal Fine-Grained N: M sparsity for Activations and Neural Gradients. CoRR Brian Chmiel, Itay Hubara, Ron Banner, Daniel Soudry
2022	—	`conf`	Power Awareness in Low Precision Neural Networks. ECCV Workshops (7) Nurit Spingarn-Eliezer, Ron Banner, Hilla Ben-Yaacov, Elad Hoffer, Tomer Michaeli
2021	A*	`conf`	Accelerated Sparse Neural Training: A Provable and Efficient Method to Find N: M Transposable Masks. NeurIPS Itay Hubara, Brian Chmiel, Moshe Island, Ron Banner, Joseph Naor, Daniel Soudry
2021	J	`jnl`	Accelerated Sparse Neural Training: A Provable and Efficient Method to Find N: M Transposable Masks. CoRR Itay Hubara, Brian Chmiel, Moshe Island, Ron Banner, Seffi Naor, Daniel Soudry
2021	A*	`conf`	Accurate Post Training Quantization With Small Calibration Sets. ICML Itay Hubara, Yury Nahshan, Yair Hanani, Ron Banner, Daniel Soudry
2021	J	`jnl`	CAT: Compression-Aware Training for bandwidth reduction. J. Mach. Learn. Res. Chaim Baskin, Brian Chmiel, Evgenii Zheltonozhskii, Ron Banner, Alex M. Bronstein, Avi Mendelson
2021	A*	`conf`	GAN "Steerability" without optimization. ICLR Nurit Spingarn, Ron Banner, Tomer Michaeli
2021	J	`jnl`	Logarithmic Unbiased Quantization: Practical 4-bit Training in Deep Learning. CoRR Brian Chmiel, Ron Banner, Elad Hoffer, Hilla Ben-Yaacov, Daniel Soudry
2021	J	`jnl`	Loss aware post-training quantization. Mach. Learn. Yury Nahshan, Brian Chmiel, Chaim Baskin, Evgenii Zheltonozhskii, Ron Banner, Alex M. Bronstein, Avi Mendelson
2021	A*	`conf`	Neural gradients are near-lognormal: improved quantized and sparse training. ICLR Brian Chmiel, Liad Ben-Uri, Moran Shkolnik, Elad Hoffer, Ron Banner, Daniel Soudry
2020	B	`conf`	Feature Map Transform Coding for Energy-Efficient CNN Inference. IJCNN Brian Chmiel, Chaim Baskin, Evgenii Zheltonozhskii, Ron Banner, Yevgeny Yermolin, Alex Karbachevsky, Alex M. Bronstein, Avi Mendelson
2020	J	`jnl`	GAN Steerability without optimization. CoRR Nurit Spingarn-Eliezer, Ron Banner, Tomer Michaeli
2020	J	`jnl`	Improving Post Training Neural Quantization: Layer-wise Calibration and Integer Programming. CoRR Itay Hubara, Yury Nahshan, Yair Hanani, Ron Banner, Daniel Soudry
2020	J	`jnl`	Neural gradients are lognormally distributed: understanding sparse and quantized training. CoRR Brian Chmiel, Liad Ben-Uri, Moran Shkolnik, Elad Hoffer, Ron Banner, Daniel Soudry
2020	A*	`conf`	Robust Quantization: One Model to Rule Them All. NeurIPS Moran Shkolnik, Brian Chmiel, Ron Banner, Gil Shomron, Yury Nahshan, Alex M. Bronstein, Uri C. Weiser
2020	J	`jnl`	Robust Quantization: One Model to Rule Them All. CoRR Moran Shkolnik, Brian Chmiel, Ron Banner, Gil Shomron, Yury Nahshan, Alexander M. Bronstein, Uri C. Weiser
2020	—	`conf`	Thanks for Nothing: Predicting Zero-Valued Activations with Lightweight Convolutional Neural Networks. ECCV (10) Gil Shomron, Ron Banner, Moran Shkolnik, Uri C. Weiser
2019	J	`jnl`	CAT: Compression-Aware Training for bandwidth reduction. CoRR Chaim Baskin, Brian Chmiel, Evgenii Zheltonozhskii, Ron Banner, Alexander M. Bronstein, Avi Mendelson
2019	J	`jnl`	Feature Map Transform Coding for Energy-Efficient CNN Inference. CoRR Brian Chmiel, Chaim Baskin, Ron Banner, Evgenii Zheltonozhskii, Yevgeny Yermolin, Alex Karbachevsky, Alexander M. Bronstein, Avi Mendelson
2019	J	`jnl`	Loss Aware Post-training Quantization. CoRR Yury Nahshan, Brian Chmiel, Chaim Baskin, Evgenii Zheltonozhskii, Ron Banner, Alexander M. Bronstein, Avi Mendelson
2019	A*	`conf`	Post training 4-bit quantization of convolutional networks for rapid-deployment. NeurIPS Ron Banner, Yury Nahshan, Daniel Soudry
2019	J	`jnl`	Thanks for Nothing: Predicting Zero-Valued Activations with Lightweight Convolutional Neural Networks. CoRR Gil Shomron, Ron Banner, Moran Shkolnik, Uri C. Weiser
2018	J	`jnl`	ACIQ: Analytical Clipping for Integer Quantization of neural networks. CoRR Ron Banner, Yury Nahshan, Elad Hoffer, Daniel Soudry
2018	A*	`conf`	Norm matters: efficient and accurate normalization schemes in deep networks. NeurIPS Elad Hoffer, Ron Banner, Itay Golan, Daniel Soudry
2018	J	`jnl`	Norm matters: efficient and accurate normalization schemes in deep networks. CoRR Elad Hoffer, Ron Banner, Itay Golan, Daniel Soudry
2018	J	`jnl`	Scalable Methods for 8-bit Training of Neural Networks. CoRR Ron Banner, Itay Hubara, Elad Hoffer, Daniel Soudry
2018	A*	`conf`	Scalable methods for 8-bit training of neural networks. NeurIPS Ron Banner, Itay Hubara, Elad Hoffer, Daniel Soudry
2013	Misc	`conf`	Image deblurring using maps of highlights. ICASSP Fabiane Queiroz, Tsang Ing Ren, Lior Shapira, Ron Banner
2011	—	`conf`	Automatic Policy Rule Extraction for Configuration Management. POLICY Ron Banner, Omer Barkol, Ruth Bergman, Shahar Golan, Yuval Carmel, Ido Ish-Hurwitz, Oded Zilinsky
2011	—	`conf`	What makes good image composition? Human Vision and Electronic Imaging Ron Banner
2010	A*	`conf`	Designing Low-Capacity Backup Networks for Fast Restoration. INFOCOM Ron Banner, Ariel Orda
2010	—	`conf`	The PARIS Algorithm for Determining Latent Topics. ICDM Workshops Michal Aharon, Ira Cohen, Arik Itskovitch, Inbal Marhaim, Ron Banner
2008	A*	`conf`	Multi-Objective Topology Control in Wireless Networks. INFOCOM Ron Banner, Ariel Orda
2007	J	`jnl`	Bottleneck Routing Games in Communication Networks. IEEE J. Sel. Areas Commun. Ron Banner, Ariel Orda
2007	J	`jnl`	Multipath routing algorithms for congestion minimization. IEEE/ACM Trans. Netw. Ron Banner, Ariel Orda
2007	J	`jnl`	The power of tuning: a novel approach for the efficient design of survivable networks. IEEE/ACM Trans. Netw. Ron Banner, Ariel Orda
2006	A*	`conf`	Bottleneck Routing Games in Communication Networks. INFOCOM Ron Banner, Ariel Orda
2005	B	`conf`	Multipath Routing Algorithms for Congestion Minimization. NETWORKING Ron Banner, Ariel Orda
2004	B	`conf`	The Power of Tuning: A Novel Approach for the Efficient Design of Survivable Networks. ICNP Ron Banner, Ariel Orda