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Dimensionality Reduced Training by Pruning and Freezing Parts of a Deep Neural Network, a Survey
Paper • 2205.08099 • Published • 1 -
Training BatchNorm and Only BatchNorm: On the Expressive Power of Random Features in CNNs
Paper • 2003.00152 • Published • 1 -
OpenRAND: A Performance Portable, Reproducible Random Number Generation Library for Parallel Computations
Paper • 2310.19925 • Published • 1 -
Squares: A Fast Counter-Based RNG
Paper • 2004.06278 • Published • 1
Collections
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Collections trending this week
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Qualitatively characterizing neural network optimization problems
Paper • 1412.6544 • Published • 4 -
Averaging Weights Leads to Wider Optima and Better Generalization
Paper • 1803.05407 • Published • 2 -
Merging Models with Fisher-Weighted Averaging
Paper • 2111.09832 • Published • 2 -
Model soups: averaging weights of multiple fine-tuned models improves accuracy without increasing inference time
Paper • 2203.05482 • Published • 10
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entropy/gpt2_zinc_87m
Text Generation • Updated • 949 • 4 -
hogru/MolReactGen-GuacaMol-Molecules
Text Generation • Updated • 86 • 1 -
jarod0411/zinc10M_gpt2_SMILES_bpe_combined_step1_finetune
Text Generation • 0.1B • Updated • 32 -
jarod0411/zinc10M_gpt2_SMILES_bpe_combined_step1
Text Generation • 0.2B • Updated • 147
-
Dimensionality Reduced Training by Pruning and Freezing Parts of a Deep Neural Network, a Survey
Paper • 2205.08099 • Published • 1 -
Training BatchNorm and Only BatchNorm: On the Expressive Power of Random Features in CNNs
Paper • 2003.00152 • Published • 1 -
OpenRAND: A Performance Portable, Reproducible Random Number Generation Library for Parallel Computations
Paper • 2310.19925 • Published • 1 -
Squares: A Fast Counter-Based RNG
Paper • 2004.06278 • Published • 1
-
entropy/gpt2_zinc_87m
Text Generation • Updated • 949 • 4 -
hogru/MolReactGen-GuacaMol-Molecules
Text Generation • Updated • 86 • 1 -
jarod0411/zinc10M_gpt2_SMILES_bpe_combined_step1_finetune
Text Generation • 0.1B • Updated • 32 -
jarod0411/zinc10M_gpt2_SMILES_bpe_combined_step1
Text Generation • 0.2B • Updated • 147
-
Qualitatively characterizing neural network optimization problems
Paper • 1412.6544 • Published • 4 -
Averaging Weights Leads to Wider Optima and Better Generalization
Paper • 1803.05407 • Published • 2 -
Merging Models with Fisher-Weighted Averaging
Paper • 2111.09832 • Published • 2 -
Model soups: averaging weights of multiple fine-tuned models improves accuracy without increasing inference time
Paper • 2203.05482 • Published • 10