33rd International Conference on Machine Learning, ICML 2016

By Jelena Luketina, Mathias Berglund, Klaus Greff, Tapani Raiko. 2016

10 citations recorded by the source corpus.

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

1. Weiyu Cheng
2. Yanyan Shen
3. Linpeng Huang
4. Peter A. Flach
5. Kacper Sokol
6. David A. Cieslak
7. Lasha Abzianidze
8. David J. Hand

Citations in the corpus

• Differentiable Neural Input Search for Recommender Systems (2020, methodology): “To explore the space of neural architectures, different search strategies have been explored including random search [22], evolutionary methods [12, 29, 34], Bayesian optimization [2, 11, 28], reinforcement learning [1, 40, 41], and gradient-based methods [3, 25, 38].”
• Explainability fact sheets: a framework for systematic assessment of explainable approaches (2019, methodology): “ular explainability techniques such as surrogates [5, 43] and counterfactuals [34].”