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ORCIDMor Shpigel Nacson
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2020 – today
- 2024
[c11]Gon Buzaglo, Itamar Harel, Mor Shpigel Nacson, Alon Brutzkus, Nathan Srebro, Daniel Soudry:
How Uniform Random Weights Induce Non-uniform Bias: Typical Interpolating Neural Networks Generalize with Narrow Teachers. ICML 2024- [i9]Gon Buzaglo, Itamar Harel, Mor Shpigel Nacson, Alon Brutzkus, Nathan Srebro, Daniel Soudry:
How Uniform Random Weights Induce Non-uniform Bias: Typical Interpolating Neural Networks Generalize with Narrow Teachers. CoRR abs/2402.06323 (2024) - 2023
- [c10]Mor Shpigel Nacson, Rotem Mulayoff
, Greg Ongie, Tomer Michaeli, Daniel Soudry:
The Implicit Bias of Minima Stability in Multivariate Shallow ReLU Networks. ICLR 2023 - [c9]Itai Kreisler, Mor Shpigel Nacson, Daniel Soudry, Yair Carmon:
Gradient Descent Monotonically Decreases the Sharpness of Gradient Flow Solutions in Scalar Networks and Beyond. ICML 2023: 17684-17744 - [i8]Itai Kreisler, Mor Shpigel Nacson, Daniel Soudry, Yair Carmon:
Gradient Descent Monotonically Decreases the Sharpness of Gradient Flow Solutions in Scalar Networks and Beyond. CoRR abs/2305.13064 (2023) - [i7]Mor Shpigel Nacson, Rotem Mulayoff, Greg Ongie, Tomer Michaeli, Daniel Soudry:
The Implicit Bias of Minima Stability in Multivariate Shallow ReLU Networks. CoRR abs/2306.17499 (2023) - 2022
- [c8]Mor Shpigel Nacson, Kavya Ravichandran, Nathan Srebro, Daniel Soudry:
Implicit Bias of the Step Size in Linear Diagonal Neural Networks. ICML 2022: 16270-16295 - 2021
- [c7]Rami Ben-Ari, Mor Shpigel Nacson, Ophir Azulai, Udi Barzelay, Daniel Rotman:
TAEN: Temporal Aware Embedding Network for Few-Shot Action Recognition. CVPR Workshops 2021: 2786-2794 - [c6]Shahar Azulay, Edward Moroshko, Mor Shpigel Nacson, Blake E. Woodworth, Nathan Srebro, Amir Globerson, Daniel Soudry:
On the Implicit Bias of Initialization Shape: Beyond Infinitesimal Mirror Descent. ICML 2021: 468-477 - [i6]Shahar Azulay, Edward Moroshko, Mor Shpigel Nacson, Blake E. Woodworth, Nathan Srebro, Amir Globerson, Daniel Soudry:
On the Implicit Bias of Initialization Shape: Beyond Infinitesimal Mirror Descent. CoRR abs/2102.09769 (2021) - 2020
- [c5]Niv Giladi, Mor Shpigel Nacson, Elad Hoffer, Daniel Soudry:
At Stability's Edge: How to Adjust Hyperparameters to Preserve Minima Selection in Asynchronous Training of Neural Networks? ICLR 2020 - [i5]Rami Ben-Ari, Mor Shpigel Nacson, Ophir Azulai, Udi Barzelay, Daniel Rotman:
TAEN: Temporal Aware Embedding Network for Few-Shot Action Recognition. CoRR abs/2004.10141 (2020)
2010 – 2019
- 2019
- [c4]Mor Shpigel Nacson, Nathan Srebro, Daniel Soudry:
Stochastic Gradient Descent on Separable Data: Exact Convergence with a Fixed Learning Rate. AISTATS 2019: 3051-3059 - [c3]Mor Shpigel Nacson, Jason D. Lee, Suriya Gunasekar, Pedro Henrique Pamplona Savarese, Nathan Srebro, Daniel Soudry:
Convergence of Gradient Descent on Separable Data. AISTATS 2019: 3420-3428 - [c2]Mor Shpigel Nacson, Suriya Gunasekar, Jason D. Lee, Nathan Srebro, Daniel Soudry:
Lexicographic and Depth-Sensitive Margins in Homogeneous and Non-Homogeneous Deep Models. ICML 2019: 4683-4692 - [i4]Mor Shpigel Nacson, Suriya Gunasekar, Jason D. Lee, Nathan Srebro, Daniel Soudry:
Lexicographic and Depth-Sensitive Margins in Homogeneous and Non-Homogeneous Deep Models. CoRR abs/1905.07325 (2019) - [i3]Niv Giladi, Mor Shpigel Nacson, Elad Hoffer, Daniel Soudry:
At Stability's Edge: How to Adjust Hyperparameters to Preserve Minima Selection in Asynchronous Training of Neural Networks? CoRR abs/1909.12340 (2019) - 2018
- [j1]Daniel Soudry, Elad Hoffer, Mor Shpigel Nacson, Suriya Gunasekar, Nathan Srebro:
The Implicit Bias of Gradient Descent on Separable Data. J. Mach. Learn. Res. 19: 70:1-70:57 (2018) - [c1]Daniel Soudry, Elad Hoffer, Mor Shpigel Nacson, Nathan Srebro:
The Implicit Bias of Gradient Descent on Separable Data. ICLR (Poster) 2018 - [i2]Mor Shpigel Nacson, Jason D. Lee, Suriya Gunasekar, Nathan Srebro, Daniel Soudry:
Convergence of Gradient Descent on Separable Data. CoRR abs/1803.01905 (2018) - [i1]Mor Shpigel Nacson, Nathan Srebro, Daniel Soudry:
Stochastic Gradient Descent on Separable Data: Exact Convergence with a Fixed Learning Rate. CoRR abs/1806.01796 (2018)
Coauthor Index
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