output
20132025
most citedZoneout: Regularizing RNNs by Randomly Preserving Hidden Activations

167 citations

researchers with a paper here

Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.

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3 papers · 1 filter

stat.ML2019★ 32 cited

Small-GAN: Speeding Up GAN Training Using Core-sets

Samarth Sinha, Han Zhang, Anirudh Goyal +3

Recent work by Brock et al. (2018) suggests that Generative Adversarial Networks (GANs) benefit disproportionately from large mini-batch sizes. Unfortunately, using large batches i…

stat.ML2018★ 89 cited

Quaternion Recurrent Neural Networks

Titouan Parcollet, Mirco Ravanelli, Mohamed Morchid +4

Recurrent neural networks (RNNs) are powerful architectures to model sequential data, due to their capability to learn short and long-term dependencies between the basic elements o…

stat.ML2017

Adaptive Stochastic Dual Coordinate Ascent for Conditional Random Fields

Rémi Le Priol, Alexandre Piché, Simon Lacoste-Julien

This work investigates the training of conditional random fields (CRFs) via the stochastic dual coordinate ascent (SDCA) algorithm of Shalev-Shwartz and Zhang (2016). SDCA enjoys a…