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

Towards Robust, Locally Linear Deep Networks

International Conference on Learning Representations - 2019 via Local Bibsonomy

Keywords: dblp

International Conference on Learning Representations - 2019 via Local Bibsonomy

Keywords: dblp

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

Meta-Learning via Learned Loss

arXiv e-Print archive - 2019 via Local arXiv

Keywords: cs.LG, cs.AI, cs.RO, stat.ML

more

arXiv e-Print archive - 2019 via Local arXiv

Keywords: cs.LG, cs.AI, cs.RO, stat.ML

When to use parametric models in reinforcement learning?

arXiv e-Print archive - 2019 via Local Bibsonomy

Keywords: dblp

arXiv e-Print archive - 2019 via Local Bibsonomy

Keywords: dblp

Automatic chemical design using a data-driven continuous representation of molecules

arXiv e-Print archive - 2016 via Local Bibsonomy

Keywords: dblp

arXiv e-Print archive - 2016 via Local Bibsonomy

Keywords: dblp

Cutting out the Middle-Man: Training and Evaluating Energy-Based Models without Sampling

- 2020 via Local Bibsonomy

Keywords: bayesian, generative-models, energy-models, uncertainty

- 2020 via Local Bibsonomy

Keywords: bayesian, generative-models, energy-models, uncertainty

Question Answering with Subgraph Embeddings

arXiv e-Print archive - 2014 via Local arXiv

Keywords: cs.CL

more

arXiv e-Print archive - 2014 via Local arXiv

Keywords: cs.CL

Deep Residual Learning for Image Recognition

arXiv e-Print archive - 2015 via Local Bibsonomy

Keywords: dblp

arXiv e-Print archive - 2015 via Local Bibsonomy

Keywords: dblp

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