41 citations · 41 across the 2 of their papers we have counts for
3 papers
Only sparsity based loss function for learning representations
Vivek Bakaraju, Kishore Reddy Konda
We study the emergence of sparse representations in neural networks. We show that in unsupervised models with regularization, the emergence of sparsity is the result of the input d…
Building effective deep neural network architectures one feature at a time
Martin Mundt, Tobias Weis, Kishore Konda +1
Successful training of convolutional neural networks is often associated with sufficiently deep architectures composed of high amounts of features. These networks typically rely on…
EmoNets: Multimodal deep learning approaches for emotion recognition in video
Samira Ebrahimi Kahou, Xavier Bouthillier, Pascal Lamblin +15
The task of the emotion recognition in the wild (EmotiW) Challenge is to assign one of seven emotions to short video clips extracted from Hollywood style movies. The videos depict…