Stanislaw K. Jastrzebski

According to our database1, Stanislaw K. Jastrzebski authored at least 9 papers between 2013 and 2019.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Other 

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Bibliography

2019
Parameter-Efficient Transfer Learning for NLP.
Proceedings of the 36th International Conference on Machine Learning, 2019

Dynamical Isometry is Achieved in Residual Networks in a Universal Way for any Activation Function.
Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics, 2019

2018
Finding Flatter Minima with SGD.
Proceedings of the 6th International Conference on Learning Representations, 2018

Residual Connections Encourage Iterative Inference.
Proceedings of the 6th International Conference on Learning Representations, 2018

Width of Minima Reached by Stochastic Gradient Descent is Influenced by Learning Rate to Batch Size Ratio.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2018, 2018

2017
A Closer Look at Memorization in Deep Networks.
Proceedings of the 34th International Conference on Machine Learning, 2017

Deep Nets Don't Learn via Memorization.
Proceedings of the 5th International Conference on Learning Representations, 2017

2016
Osprey: Hyperparameter Optimization for Machine Learning.
J. Open Source Software, 2016

2013
Density Invariant Detection of Osteoporosis Using Growing Neural Gas.
Proceedings of the 8th International Conference on Computer Recognition Systems CORES 2013, 2013


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