Understanding deep learning requires rethinking generalization

arXiv e-Print archive - 2016 via Local arXiv

Keywords: cs.LG

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arXiv e-Print archive - 2016 via Local arXiv

Keywords: cs.LG

Analyzing Multi-Head Self-Attention: Specialized Heads Do the Heavy Lifting, the Rest Can Be Pruned

arXiv e-Print archive - 2019 via Local arXiv

Keywords: cs.CL

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arXiv e-Print archive - 2019 via Local arXiv

Keywords: cs.CL

Comparing Rewinding and Fine-tuning in Neural Network Pruning

International Conference on Learning Representations - 2020 via Local Bibsonomy

Keywords: dblp

International Conference on Learning Representations - 2020 via Local Bibsonomy

Keywords: dblp

Regularizing Trajectory Optimization with Denoising Autoencoders

arXiv e-Print archive - 2019 via Local Bibsonomy

Keywords: dblp

arXiv e-Print archive - 2019 via Local Bibsonomy

Keywords: dblp

Learning to Predict Without Looking Ahead: World Models Without Forward Prediction

arXiv e-Print archive - 2019 via Local Bibsonomy

Keywords: dblp

arXiv e-Print archive - 2019 via Local Bibsonomy

Keywords: dblp

Alternative structures for character-level RNNs

arXiv e-Print archive - 2015 via Local Bibsonomy

Keywords: dblp

arXiv e-Print archive - 2015 via Local Bibsonomy

Keywords: dblp

Molecular Graph Convolutions: Moving Beyond Fingerprints

arXiv e-Print archive - 2016 via Local Bibsonomy

Keywords: dblp

arXiv e-Print archive - 2016 via Local Bibsonomy

Keywords: dblp

Generating Natural Adversarial Examples

International Conference on Learning Representations - 2018 via Local Bibsonomy

Keywords: dblp

International Conference on Learning Representations - 2018 via Local Bibsonomy

Keywords: dblp

Deep Forest: Towards An Alternative to Deep Neural Networks

International Joint Conference on Artificial Intelligence - 2017 via Local Bibsonomy

Keywords: dblp

International Joint Conference on Artificial Intelligence - 2017 via Local Bibsonomy

Keywords: dblp

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