Elad Hoffer - RankMe

39 papers A* 8Journal 23Unranked 8

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	AdaptiVocab: Enhancing LLM Efficiency in Focused Domains through Lightweight Vocabulary Adaptation. CoRR Itay Nakash, Nitay Calderon, Eyal Ben-David, Elad Hoffer, Roi Reichart
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
2022	J	`jnl`	Energy awareness in low precision neural networks. CoRR Nurit Spingarn-Eliezer, Ron Banner, Elad Hoffer, Hilla Ben-Yaacov, Tomer Michaeli
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	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	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
2021	J	`jnl`	Task-Agnostic Continual Learning Using Online Variational Bayes With Fixed-Point Updates. Neural Comput. Chen Zeno, Itay Golan, Elad Hoffer, Daniel Soudry
2020	A*	`conf`	At Stability's Edge: How to Adjust Hyperparameters to Preserve Minima Selection in Asynchronous Training of Neural Networks? ICLR Niv Giladi, Mor Shpigel Nacson, Elad Hoffer, Daniel Soudry
2020	A*	`conf`	Augment Your Batch: Improving Generalization Through Instance Repetition. CVPR Elad Hoffer, Tal Ben-Nun, Itay Hubara, Niv Giladi, Torsten Hoefler, 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	J	`jnl`	Task Agnostic Continual Learning Using Online Variational Bayes with Fixed-Point Updates. CoRR Chen Zeno, Itay Golan, Elad Hoffer, Daniel Soudry
2020	A*	`conf`	The Knowledge Within: Methods for Data-Free Model Compression. CVPR Matan Haroush, Itay Hubara, Elad Hoffer, Daniel Soudry
2019	J	`jnl`	At Stability's Edge: How to Adjust Hyperparameters to Preserve Minima Selection in Asynchronous Training of Neural Networks? CoRR Niv Giladi, Mor Shpigel Nacson, Elad Hoffer, Daniel Soudry
2019	J	`jnl`	Augment your batch: better training with larger batches. CoRR Elad Hoffer, Tal Ben-Nun, Itay Hubara, Niv Giladi, Torsten Hoefler, Daniel Soudry
2019	J	`jnl`	Mix & Match: training convnets with mixed image sizes for improved accuracy, speed and scale resiliency. CoRR Elad Hoffer, Berry Weinstein, Itay Hubara, Tal Ben-Nun, Torsten Hoefler, Daniel Soudry
2019	J	`jnl`	The Knowledge Within: Methods for Data-Free Model Compression. CoRR Matan Haroush, Itay Hubara, Elad Hoffer, Daniel Soudry
2018	J	`jnl`	ACIQ: Analytical Clipping for Integer Quantization of neural networks. CoRR Ron Banner, Yury Nahshan, Elad Hoffer, Daniel Soudry
2018	J	`jnl`	Bayesian Gradient Descent: Online Variational Bayes Learning with Increased Robustness to Catastrophic Forgetting and Weight Pruning. CoRR Chen Zeno, Itay Golan, Elad Hoffer, Daniel Soudry
2018	—	`conf`	Exponentially vanishing sub-optimal local minima in multilayer neural networks. ICLR (Workshop) Daniel Soudry, Elad Hoffer
2018	—	`conf`	Fix your classifier: the marginal value of training the last weight layer. ICLR (Poster) Elad Hoffer, Itay Hubara, Daniel Soudry
2018	J	`jnl`	Fix your classifier: the marginal value of training the last weight layer. CoRR Elad Hoffer, Itay Hubara, 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`	On the Blindspots of Convolutional Networks. CoRR Elad Hoffer, Shai Fine, 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
2018	—	`conf`	The Implicit Bias of Gradient Descent on Separable Data. ICLR (Poster) Daniel Soudry, Elad Hoffer, Mor Shpigel Nacson, Nathan Srebro
2018	J	`jnl`	The Implicit Bias of Gradient Descent on Separable Data. J. Mach. Learn. Res. Daniel Soudry, Elad Hoffer, Mor Shpigel Nacson, Suriya Gunasekar, Nathan Srebro
2017	—	`conf`	Semi-supervised deep learning by metric embedding. ICLR (Workshop) Elad Hoffer, Nir Ailon
2017	J	`jnl`	The Implicit Bias of Gradient Descent on Separable Data. CoRR Daniel Soudry, Elad Hoffer, Nathan Srebro
2017	—	`conf`	Train longer, generalize better: closing the generalization gap in large batch training of neural networks. NIPS Elad Hoffer, Itay Hubara, Daniel Soudry
2017	J	`jnl`	Train longer, generalize better: closing the generalization gap in large batch training of neural networks. CoRR Elad Hoffer, Itay Hubara, Daniel Soudry
2016	J	`jnl`	Deep unsupervised learning through spatial contrasting. CoRR Elad Hoffer, Itay Hubara, Nir Ailon
2016	J	`jnl`	Semi-supervised deep learning by metric embedding. CoRR Elad Hoffer, Nir Ailon
2016	J	`jnl`	Spatial contrasting for deep unsupervised learning. CoRR Elad Hoffer, Itay Hubara, Nir Ailon
2015	—	`conf`	Deep Metric Learning Using Triplet Network. SIMBAD Elad Hoffer, Nir Ailon
2015	—	`conf`	Deep metric learning using Triplet network. ICLR (Workshop) Elad Hoffer, Nir Ailon