متابعة
Daniel Soudry
Daniel Soudry
Associate Professor
بريد إلكتروني تم التحقق منه على technion.ac.il - الصفحة الرئيسية
عنوان
عدد مرات الاقتباسات
عدد مرات الاقتباسات
السنة
Binarized neural networks‏
I Hubara, M Courbariaux, D Soudry, R El-Yaniv, Y Bengio‏
Advances in neural information processing systems 29, 2016‏
6202*2016
Quantized neural networks: Training neural networks with low precision weights and activations‏
I Hubara, M Courbariaux, D Soudry, R El-Yaniv, Y Bengio‏
Journal of Machine Learning Research 18 (187), 1-30, 2018‏
23822018
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
11522016
The implicit bias of gradient descent on separable data‏
D Soudry, E Hoffer, MS Nacson, S Gunasekar, N Srebro‏
Journal of Machine Learning Research 19 (70), 1-57, 2018‏
10552018
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
10292017
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
805*2019
Characterizing implicit bias in terms of optimization geometry‏
S Gunasekar, J Lee, D Soudry, N Srebro‏
International Conference on Machine Learning, 1832-1841, 2018‏
4972018
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
4732018
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
4302018
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
4122020
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
337*2020
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
328*2021
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
3182015
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
3122014
No bad local minima: Data independent training error guarantees for multilayer neural networks‏
D Soudry, Y Carmon‏
arXiv preprint arXiv:1605.08361, 2016‏
2712016
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
1912018
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
1832018
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
1762019
A function space view of bounded norm infinite width relu nets: The multivariate case‏
G Ongie, R Willett, D Soudry, N Srebro‏
arXiv preprint arXiv:1910.01635, 2019‏
1662019
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
1632016
يتعذر على النظام إجراء العملية في الوقت الحالي. عاود المحاولة لاحقًا.
مقالات 1–20