| 2023 | ICLR | Accurate Neural Training with 4-bit Matrix Multiplications at Standard Formats. | Brian Chmiel, Ron Banner, Elad Hoffer, Hilla Ben-Yaacov, Daniel Soudry |
| 2022 | ECCV | Power Awareness in Low Precision Neural Networks. | Nurit Spingarn-Eliezer, Ron Banner, Hilla Ben-Yaacov, Elad Hoffer, Tomer Michaeli |
| 2021 | ICLR | Neural gradients are near-lognormal: improved quantized and sparse training. | Brian Chmiel, Liad Ben-Uri, Moran Shkolnik, Elad Hoffer, Ron Banner, Daniel Soudry |
| 2020 | CVPR | The Knowledge Within: Methods for Data-Free Model Compression. | Matan Haroush, Itay Hubara, Elad Hoffer, Daniel Soudry |
| 2020 | CVPR | Augment Your Batch: Improving Generalization Through Instance Repetition. | Elad Hoffer, Tal Ben-Nun, Itay Hubara, Niv Giladi, Torsten Hoefler, Daniel Soudry |
| 2020 | ICLR | At Stability's Edge: How to Adjust Hyperparameters to Preserve Minima Selection in Asynchronous Training of Neural Networks? | Niv Giladi, Mor Shpigel Nacson, Elad Hoffer, Daniel Soudry |
| 2018 | ICLR | Fix your classifier: the marginal value of training the last weight layer. | Elad Hoffer, Itay Hubara, Daniel Soudry |
| 2018 | ICLR | Exponentially vanishing sub-optimal local minima in multilayer neural networks. | Daniel Soudry, Elad Hoffer |
| 2018 | ICLR | The Implicit Bias of Gradient Descent on Separable Data. | Daniel Soudry, Elad Hoffer, Mor Shpigel Nacson, Nathan Srebro |
| 2017 | ICLR | Semi-supervised deep learning by metric embedding. | Elad Hoffer, Nir Ailon |