565 citations · 1.3k across the 8 of their papers we have counts for
Showing 2016Show all
3 papers · 1 filter
cs.CV2016★ 355 cited
Xception: Deep Learning with Depthwise Separable Convolutions
François Chollet
We present an interpretation of Inception modules in convolutional neural networks as being an intermediate step in-between regular convolution and the depthwise separable convolut…
cs.CV2016★ 13 cited
Information-theoretical label embeddings for large-scale image classification
François Chollet
We present a method for training multi-label, massively multi-class image classification models, that is faster and more accurate than supervision via a sigmoid cross-entropy loss…
cs.AI2016★ 112 cited
DeepMath - Deep Sequence Models for Premise Selection
Alex A. Alemi, Francois Chollet, Niklas Een +3
We study the effectiveness of neural sequence models for premise selection in automated theorem proving, one of the main bottlenecks in the formalization of mathematics. We propose…