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1.Gradient descent aligns the layers of deep linear networks – arXiv
- Author: Gradient
- Publish: 1 days ago
- Rating: 4(1357 Rating)
- Highest rating: 4
- Lowest rating: 3
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- Source : https://arxiv.org/abs/1810.02032
2.Gradient descent aligns the layers of deep linear networks
- Author: Gradient
- Publish: 10 days ago
- Rating: 1(369 Rating)
- Highest rating: 5
- Lowest rating: 3
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- Source : https://openreview.net/forum%3Fid%3DHJflg30qKX
3.[PDF] GRADIENT DESCENT ALIGNS THE LAYERS OF DEEP
- Author: [PDF]
- Publish: 8 days ago
- Rating: 2(1612 Rating)
- Highest rating: 3
- Lowest rating: 1
- Descriptions: This paper analyzes the implicit regularization of gradient descent and gradient flow on deep linear networks and linearly separable data. For strictly …
- More : This paper analyzes the implicit regularization of gradient descent and gradient flow on deep linear networks and linearly separable data. For strictly …
- Source : https://openreview.net/pdf%3Fid%3DHJflg30qKX
4.Gradient descent aligns the layers of deep linear … – ResearchGate
- Author: Gradient
- Publish: 30 days ago
- Rating: 2(1540 Rating)
- Highest rating: 4
- Lowest rating: 3
- Descriptions: We show that gradient descent on an unregularized logistic regression problem with separable data converges to the max-margin solution. The result generalizes …
- More : We show that gradient descent on an unregularized logistic regression problem with separable data converges to the max-margin solution. The result generalizes …
- Source : https://www.researchgate.net/publication/328091485_Gradient_descent_aligns_the_layers_of_deep_linear_networks
5.Gradient Descent Aligns the Layers of Deep Linear Networks
- Author: Gradient
- Publish: 1 days ago
- Rating: 4(440 Rating)
- Highest rating: 3
- Lowest rating: 2
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- Source : https://www.youtube.com/watch%3Fv%3DLvGn1wSdya8
6.[PDF] Gradient descent aligns the layers of deep linear networks
- Author: [PDF]
- Publish: 6 days ago
- Rating: 5(1027 Rating)
- Highest rating: 4
- Lowest rating: 2
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- Source : https://www.semanticscholar.org/paper/Gradient-descent-aligns-the-layers-of-deep-linear-Ji-Telgarsky/5786917220aab2f6d0b00606eee9fe0ad0700f1b
7.Gradient descent aligns the layers of deep linear networks – arXiv …
- Author: Gradient
- Publish: 10 days ago
- Rating: 3(1232 Rating)
- Highest rating: 4
- Lowest rating: 3
- Descriptions: Gradient descent aligns the layers of deep linear networks … Figure 0(b) shows the alignment phenomenon in the 4-layer network, plotted against the risk.
- More : Gradient descent aligns the layers of deep linear networks … Figure 0(b) shows the alignment phenomenon in the 4-layer network, plotted against the risk.
- Source : https://www.arxiv-vanity.com/papers/1810.02032/
8.Gradient descent aligns the layers of deep linear networks
- Author: Gradient
- Publish: 26 days ago
- Rating: 2(1119 Rating)
- Highest rating: 3
- Lowest rating: 3
- Descriptions: Gradient descent aligns the layers of deep linear networks. DongYoon Yang … For deep linear neural networks on linearly separable data, gradient descent.
- More : Gradient descent aligns the layers of deep linear networks. DongYoon Yang … For deep linear neural networks on linearly separable data, gradient descent.
- Source : https://idea-stat.snu.ac.kr/seminar/20210513/Beamer_Gradient_Descent_Aligns_The_Layers_Of_Deep_Linear_Networks_%25EC%2596%2591%25EB%258F%2599%25EC%259C%25A4.pdf
9.[PDF] Directional convergence and alignment in deep learning
- Author: [PDF]
- Publish: 3 days ago
- Rating: 4(1057 Rating)
- Highest rating: 3
- Lowest rating: 3
- Descriptions: Alignment: when gradients exist, they converge in direction to the parameters, which … Gradient descent aligns the layers of deep linear networks. arXiv.
- More : Alignment: when gradients exist, they converge in direction to the parameters, which … Gradient descent aligns the layers of deep linear networks. arXiv.
- Source : https://proceedings.neurips.cc/paper/2020/file/c76e4b2fa54f8506719a5c0dc14c2eb9-Paper.pdf
10.[PDF] Global Convergence of Gradient Descent for Deep Linear Residual …
- Author: [PDF]
- Publish: 15 days ago
- Rating: 1(885 Rating)
- Highest rating: 5
- Lowest rating: 3
- Descriptions: cannot efficiently learn deep linear networks in general. [5] shows that if the width of every layer increases with the network depth, gradient descent with …
- More : cannot efficiently learn deep linear networks in general. [5] shows that if the width of every layer increases with the network depth, gradient descent with …
- Source : https://proceedings.neurips.cc/paper/2019/file/14da15db887a4b50efe5c1bc66537089-Paper.pdf
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