Search Results for author: Mariusz Bojarski

Found 9 papers, 3 papers with code

Invertible Autoencoder for domain adaptation

no code implementations10 Feb 2018 Yunfei Teng, Anna Choromanska, Mariusz Bojarski

However, it does not explicitly enforce $F_{BA}$ to be an inverse operation to $F_{AB}$.

Autonomous Driving Domain Adaptation +2

Explaining How a Deep Neural Network Trained with End-to-End Learning Steers a Car

8 code implementations25 Apr 2017 Mariusz Bojarski, Philip Yeres, Anna Choromanska, Krzysztof Choromanski, Bernhard Firner, Lawrence Jackel, Urs Muller

This eliminates the need for human engineers to anticipate what is important in an image and foresee all the necessary rules for safe driving.

Autonomous Driving Self-Driving Cars

VisualBackProp: efficient visualization of CNNs

4 code implementations16 Nov 2016 Mariusz Bojarski, Anna Choromanska, Krzysztof Choromanski, Bernhard Firner, Larry Jackel, Urs Muller, Karol Zieba

We furthermore justify our approach with theoretical arguments and theoretically confirm that the proposed method identifies sets of input pixels, rather than individual pixels, that collaboratively contribute to the prediction.

Self-Driving Cars

On the boosting ability of top-down decision tree learning algorithm for multiclass classification

no code implementations17 May 2016 Anna Choromanska, Krzysztof Choromanski, Mariusz Bojarski

We analyze the performance of the top-down multiclass classification algorithm for decision tree learning called LOMtree, recently proposed in the literature Choromanska and Langford (2014) for solving efficiently classification problems with very large number of classes.

General Classification

End to End Learning for Self-Driving Cars

108 code implementations25 Apr 2016 Mariusz Bojarski, Davide Del Testa, Daniel Dworakowski, Bernhard Firner, Beat Flepp, Prasoon Goyal, Lawrence D. Jackel, Mathew Monfort, Urs Muller, Jiakai Zhang, Xin Zhang, Jake Zhao, Karol Zieba

The system automatically learns internal representations of the necessary processing steps such as detecting useful road features with only the human steering angle as the training signal.

Lane Detection Self-Driving Cars

Binary embeddings with structured hashed projections

no code implementations16 Nov 2015 Anna Choromanska, Krzysztof Choromanski, Mariusz Bojarski, Tony Jebara, Sanjiv Kumar, Yann Lecun

We prove several theoretical results showing that projections via various structured matrices followed by nonlinear mappings accurately preserve the angular distance between input high-dimensional vectors.

Differentially- and non-differentially-private random decision trees

no code implementations26 Oct 2014 Mariusz Bojarski, Anna Choromanska, Krzysztof Choromanski, Yann Lecun

We consider supervised learning with random decision trees, where the tree construction is completely random.

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