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Daniel Soudry
Daniel Soudry
Associate Professor
Verified email at technion.ac.il - Homepage
Title
Cited by
Cited by
Year
Binarized neural networks
I Hubara, M Courbariaux, D Soudry, R El-Yaniv, Y Bengio
Advances in neural information processing systems 29, 2016
4871*2016
Quantized neural networks: Training neural networks with low precision weights and activations
I Hubara, M Courbariaux, D Soudry, R El-Yaniv, Y Bengio
The Journal of Machine Learning Research 18 (1), 6869-6898, 2017
18312017
Simultaneous denoising, deconvolution, and demixing of calcium imaging data
EA Pnevmatikakis, D Soudry, Y Gao, TA Machado, J Merel, D Pfau, ...
Neuron 89 (2), 285-299, 2016
9142016
Train longer, generalize better: closing the generalization gap in large batch training of neural networks
E Hoffer, I Hubara, D Soudry
Advances in neural information processing systems 30, 2017
7712017
The implicit bias of gradient descent on separable data
D Soudry, E Hoffer, MS Nacson, S Gunasekar, N Srebro
The Journal of Machine Learning Research 19 (1), 2822-2878, 2018
7262018
Post training 4-bit quantization of convolutional networks for rapid-deployment
R Banner, Y Nahshan, D Soudry
Advances in Neural Information Processing Systems 32, 2019
460*2019
Implicit bias of gradient descent on linear convolutional networks
S Gunasekar, JD Lee, D Soudry, N Srebro
Advances in neural information processing systems 31, 2018
3372018
Characterizing implicit bias in terms of optimization geometry
S Gunasekar, J Lee, D Soudry, N Srebro
International Conference on Machine Learning, 1832-1841, 2018
3252018
Scalable methods for 8-bit training of neural networks
R Banner, I Hubara, E Hoffer, D Soudry
Advances in neural information processing systems 31, 2018
2812018
Expectation backpropagation: Parameter-free training of multilayer neural networks with continuous or discrete weights
D Soudry, I Hubara, R Meir
Advances in neural information processing systems 27, 2014
2782014
Memristor-based multilayer neural networks with online gradient descent training
D Soudry, D Di Castro, A Gal, A Kolodny, S Kvatinsky
IEEE transactions on neural networks and learning systems 26 (10), 2408-2421, 2015
2772015
No bad local minima: Data independent training error guarantees for multilayer neural networks
D Soudry, Y Carmon
arXiv preprint arXiv:1605.08361, 2016
2422016
Kernel and rich regimes in overparametrized models
B Woodworth, S Gunasekar, JD Lee, E Moroshko, P Savarese, I Golan, ...
Conference on Learning Theory, 3635-3673, 2020
2282020
Augment your batch: Improving generalization through instance repetition
E Hoffer, T Ben-Nun, I Hubara, N Giladi, T Hoefler, D Soudry
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020
199*2020
Norm matters: efficient and accurate normalization schemes in deep networks
E Hoffer, R Banner, I Golan, D Soudry
Advances in Neural Information Processing Systems 31, 2018
1622018
Extracting grid cell characteristics from place cell inputs using non-negative principal component analysis
Y Dordek, D Soudry, R Meir, D Derdikman
Elife 5, e10094, 2016
1322016
Convergence of gradient descent on separable data
MS Nacson, J Lee, S Gunasekar, PHP Savarese, N Srebro, D Soudry
arXiv preprint arXiv:1803.01905, 2018
1272018
How do infinite width bounded norm networks look in function space?
P Savarese, I Evron, D Soudry, N Srebro
Conference on Learning Theory, 2667-2690, 2019
1142019
Accurate post training quantization with small calibration sets
I Hubara, Y Nahshan, Y Hanani, R Banner, D Soudry
International Conference on Machine Learning, 4466-4475, 2021
105*2021
Task agnostic continual learning using online variational bayes
C Zeno, I Golan, E Hoffer, D Soudry
arXiv preprint arXiv:1803.10123, 2018
1032018
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Articles 1–20