291 citations · 401 across the 4 of their papers we have counts for
5 papers
Discovery of Natural Language Concepts in Individual Units of CNNs
Seil Na, Yo Joong Choe, Dong-Hyun Lee +1
Although deep convolutional networks have achieved improved performance in many natural language tasks, they have been treated as black boxes because they are difficult to interpre…
Cascading Denoising Auto-Encoder as a Deep Directed Generative Model
Dong-Hyun Lee
Recent work (Bengio et al., 2013) has shown howDenoising Auto-Encoders(DAE) become gener-ative models as a density estimator. However,in practice, the framework suffers from a mixi…
Towards Biologically Plausible Deep Learning
Yoshua Bengio, Dong-Hyun Lee, Jorg Bornschein +2
Neuroscientists have long criticised deep learning algorithms as incompatible with current knowledge of neurobiology. We explore more biologically plausible versions of deep repres…
Difference Target Propagation
Dong-Hyun Lee, Saizheng Zhang, Asja Fischer +1
Back-propagation has been the workhorse of recent successes of deep learning but it relies on infinitesimal effects (partial derivatives) in order to perform credit assignment. Thi…
Challenges in Representation Learning: A report on three machine learning contests
Ian J. Goodfellow, Dumitru Erhan, Pierre Luc Carrier +25
The ICML 2013 Workshop on Challenges in Representation Learning focused on three challenges: the black box learning challenge, the facial expression recognition challenge, and the…