2019
d-SNE: Domain Adaptation Using Stochastic Neighborhood Embedding
CVPR 2019oral
On the one hand, deep neural networks are effective in learning large datasets. On the other, they are inefficient with their data usage. They often require copious amount of labeled-data to train their scads of parameters. Training larger and deeper networks is hard without appropriate regularizati…