3.1k citations · 3.4k across the 10 of their papers we have counts for
10 papers
Data Scaling Laws for End-to-End Autonomous Driving
Alexander Naumann, Xunjiang Gu, Tolga Dimlioglu +7
Autonomous vehicle (AV) stacks have traditionally relied on decomposed approaches, with separate modules handling perception, prediction, and planning. However, this design introdu…
The NVIDIA PilotNet Experiments
Mariusz Bojarski, Chenyi Chen, Joyjit Daw +22
Four years ago, an experimental system known as PilotNet became the first NVIDIA system to steer an autonomous car along a roadway. This system represents a departure from the clas…
Invertible Autoencoder for domain adaptation
Yunfei Teng, Anna Choromanska, Mariusz Bojarski
The unsupervised image-to-image translation aims at finding a mapping between the source () and target () image domains, where in many applications aligned image pairs are no…
Explaining How a Deep Neural Network Trained with End-to-End Learning Steers a Car
Mariusz Bojarski, Philip Yeres, Anna Choromanska +4
As part of a complete software stack for autonomous driving, NVIDIA has created a neural-network-based system, known as PilotNet, which outputs steering angles given images of the…
Structured adaptive and random spinners for fast machine learning computations
Mariusz Bojarski, Anna Choromanska, Krzysztof Choromanski +6
We consider an efficient computational framework for speeding up several machine learning algorithms with almost no loss of accuracy. The proposed framework relies on projections v…
VisualBackProp: efficient visualization of CNNs
Mariusz Bojarski, Anna Choromanska, Krzysztof Choromanski +4
This paper proposes a new method, that we call VisualBackProp, for visualizing which sets of pixels of the input image contribute most to the predictions made by the convolutional…
On the boosting ability of top-down decision tree learning algorithm for multiclass classification
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 Langfo…
End to End Learning for Self-Driving Cars
Mariusz Bojarski, Davide Del Testa, Daniel Dworakowski +10
We trained a convolutional neural network (CNN) to map raw pixels from a single front-facing camera directly to steering commands. This end-to-end approach proved surprisingly powe…
Binary embeddings with structured hashed projections
Anna Choromanska, Krzysztof Choromanski, Mariusz Bojarski +3
We consider the hashing mechanism for constructing binary embeddings, that involves pseudo-random projections followed by nonlinear (sign function) mappings. The pseudo-random proj…
Differentially- and non-differentially-private random decision trees
Mariusz Bojarski, Anna Choromanska, Krzysztof Choromanski +1
We consider supervised learning with random decision trees, where the tree construction is completely random. The method is popularly used and works well in practice despite the si…