Hidden-Unit Conditional Random Fields

By L. V. D. van der Maaten, Max Welling, Lawrence K. Saul. 2011

73 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. Arash Vahdat
2. Ole Winther
3. Yoshua Bengio
4. Sergey Levine
5. Søren Kaae Sønderby
6. J. Urgen Schmidhuber
7. Ruslan Salakhutdinov
8. Diederik P. Kingma

Citations in the corpus

• Cocktail Party Processing via Structured Prediction (2012, unknown): “[18] and Morency et al.”
• Protein Secondary Structure Prediction with Long Short Term Memory Networks (2014, methodology): “Recent work includes conditional random fields hybrid models [Maaten et al., 2011; Peng et al., 2009; Wang et al., 2011] and generative stochastic networks [Troyanskaya, 2014].”
• Learning latent structure for activity recognition (2014, background): “D. Initialize Latent Variables In the our latent model, we choose the same C and as in the linear-chain CRF. Parameters of the model are initialized as zeros.”
• Toward Robustness against Label Noise in Training Deep Discriminative Neural Networks (2017, methodology): “The CNN-CRFs used in this work are extensions of hidden CRFs introduced in [26, 27].”