Before and after Deep Learning

1 min readOct 6, 2018

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Christian Wolf

Written by Christian Wolf

Scientist in Machine/Deep Learning, AI, Robotics, Computer Vision. AI research chair @INSAdeLyon. Austrian living in France. 3 person family, 3 nationalities.

More from Christian Wolf

What is translation equivariance, and why do we use convolutions to get it?

Christian Wolf

What is translation equivariance, and why do we use convolutions to get it?

Multi-layer Perceptrons (MLPs) are standard neural networks with fully connected layers, where each input unit is connected with each…

8 min readOct 5, 2020

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2

Generalization and random labels

Christian Wolf

Generalization and random labels

Caveat: I wrote this story initially on Dec. 21st, 2016, but moved it to medium in Oct. 2018.

3 min readOct 6, 2018

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Cow-Sharks: exploring the Shape vs. Texture biases in Deep Neural Networks

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Cow-Sharks: exploring the Shape vs. Texture biases in Deep Neural Networks

The context to this post are recent papers providing evidence that prediction performance of deep networks trained for image…

4 min readNov 30, 2020

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Links between literature on addressing transformer complexity and work on recurrent neural works

Christian Wolf

Links between literature on addressing transformer complexity and work on recurrent neural works

This post addresses some similarities in the ways the Deep field addressed two seemingly different problems, namely A) recent work on…

6 min readMar 21, 2021

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