555 citations · 1.7k across the 35 of their papers we have counts for
6 papers · 1 filter
Recombinator Networks: Learning Coarse-to-Fine Feature Aggregation
Sina Honari, Jason Yosinski, Pascal Vincent +1
Deep neural networks with alternating convolutional, max-pooling and decimation layers are widely used in state of the art architectures for computer vision. Max-pooling purposeful…
An Exploration of Softmax Alternatives Belonging to the Spherical Loss Family
Alexandre de Brébisson, Pascal Vincent
In a multi-class classification problem, it is standard to model the output of a neural network as a categorical distribution conditioned on the inputs. The output must therefore b…
Artificial Neural Networks Applied to Taxi Destination Prediction
Alexandre de Brébisson, Étienne Simon, Alex Auvolat +2
We describe our first-place solution to the ECML/PKDD discovery challenge on taxi destination prediction. The task consisted in predicting the destination of a taxi based on the be…
Dropout as data augmentation
Xavier Bouthillier, Kishore Konda, Pascal Vincent +1
Dropout is typically interpreted as bagging a large number of models sharing parameters. We show that using dropout in a network can also be interpreted as a kind of data augmentat…
GSNs : Generative Stochastic Networks
Guillaume Alain, Yoshua Bengio, Li Yao +4
We introduce a novel training principle for probabilistic models that is an alternative to maximum likelihood. The proposed Generative Stochastic Networks (GSN) framework is based…
Discovery of variable VHE gamma-ray emission from the binary system 1FGL J1018.6-5856
H. E. S. S. Collaboration, :, A. Abramowski +230
Re-observations with the H.E.S.S. telescope array of the very-high-energy (VHE) source HESS J1018-589 A coincident with the Fermi-LAT -ray binary 1FGL J1018.6-5856 have resulted…