#subnetworks — Public Fediverse posts
Live and recent posts from across the Fediverse tagged #subnetworks, aggregated by home.social.
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@ehehdadaltd you have people from other #subnetworks of the #fediverse #replying your #post, can you read them?
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Is knowledge located or distributed?
https://arxiv.org/abs/2310.03084
Delete ~1% of the parameters and
This is enough to remove knowledge but leave everything else functioning
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Is knowledge located or distributed?
https://arxiv.org/abs/2310.03084
Delete ~1% of the parameters and
This is enough to remove knowledge but leave everything else functioning
-
Is knowledge located or distributed?
https://arxiv.org/abs/2310.03084
Delete ~1% of the parameters and
This is enough to remove knowledge but leave everything else functioning
-
Is knowledge located or distributed?
https://arxiv.org/abs/2310.03084
Delete ~1% of the parameters and
This is enough to remove knowledge but leave everything else functioning
-
Is knowledge located or distributed?
https://arxiv.org/abs/2310.03084
Delete ~1% of the parameters and
This is enough to remove knowledge but leave everything else functioning
-
Optimizing Learning Rate Schedules for Iterative Pruning of Deep Neural Networks
Shiyu Liu, Rohan Ghosh, John Chong Min Tan, Mehul Motani
Action editor: Mingsheng Long.
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Optimizing Learning Rate Schedules for Iterative Pruning of Deep Neural Networks
Shiyu Liu, Rohan Ghosh, John Chong Min Tan, Mehul Motani
Action editor: Mingsheng Long.
-
Optimizing Learning Rate Schedules for Iterative Pruning of Deep Neural Networks
Shiyu Liu, Rohan Ghosh, John Chong Min Tan, Mehul Motani
Action editor: Mingsheng Long.
-
Optimizing Learning Rate Schedules for Iterative Pruning of Deep Neural Networks
Shiyu Liu, Rohan Ghosh, John Chong Min Tan, Mehul Motani
Action editor: Mingsheng Long.
-
Optimizing Learning Rate Schedules for Iterative Pruning of Deep Neural Networks
Shiyu Liu, Rohan Ghosh, John Chong Min Tan, Mehul Motani
Action editor: Mingsheng Long.
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On the Convergence of Shallow Neural Network Training with Randomly Masked Neurons
Fangshuo Liao, Anastasios Kyrillidis
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On the Convergence of Shallow Neural Network Training with Randomly Masked Neurons
Fangshuo Liao, Anastasios Kyrillidis
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On the Convergence of Shallow Neural Network Training with Randomly Masked Neurons
Fangshuo Liao, Anastasios Kyrillidis
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On the Convergence of Shallow Neural Network Training with Randomly Masked Neurons
Fangshuo Liao, Anastasios Kyrillidis
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On the Convergence of Shallow Neural Network Training with Randomly Masked Neurons
Fangshuo Liao, Anastasios Kyrillidis