David Bau

According to our database1, David Bau authored at least 23 papers between 1997 and 2020.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Other 

Links

On csauthors.net:

Bibliography

2020
Diverse Image Generation via Self-Conditioned GANs.
CoRR, 2020

2019
Comparing the Interpretability of Deep Networks via Network Dissection.
Proceedings of the Explainable AI: Interpreting, 2019

Semantic photo manipulation with a generative image prior.
ACM Trans. Graph., 2019

Interpreting Deep Visual Representations via Network Dissection.
IEEE Trans. Pattern Anal. Mach. Intell., 2019

The cloud is the limit: A case study of programming on the web, with the web.
Int. J. Child Comput. Interact., 2019

Dissecting Pruned Neural Networks.
CoRR, 2019

Visualizing and Understanding Generative Adversarial Networks (Extended Abstract).
CoRR, 2019

Visualizing and Understanding GANs.
Proceedings of the Deep Generative Models for Highly Structured Data, 2019

GAN Dissection: Visualizing and Understanding Generative Adversarial Networks.
Proceedings of the 7th International Conference on Learning Representations, 2019

Seeing What a GAN Cannot Generate.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

Learning Words by Drawing Images.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

2018
Revisiting the Importance of Individual Units in CNNs via Ablation.
CoRR, 2018

Explaining Explanations: An Approach to Evaluating Interpretability of Machine Learning.
CoRR, 2018

Interpretable Basis Decomposition for Visual Explanation.
Proceedings of the Computer Vision - ECCV 2018, 2018

Explaining Explanations: An Overview of Interpretability of Machine Learning.
Proceedings of the 5th IEEE International Conference on Data Science and Advanced Analytics, 2018

2017
Learnable programming: blocks and beyond.
Commun. ACM, 2017

Network Dissection: Quantifying Interpretability of Deep Visual Representations.
Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

2015
Supporting the Computer Science Learning Process.
Proceedings of the 46th ACM Technical Symposium on Computer Science Education, 2015

Using Pencil Code to Bridge the Gap between Visual and Text-Based Coding (Abstract Only).
Proceedings of the 46th ACM Technical Symposium on Computer Science Education, 2015

Pencil code: block code for a text world.
Proceedings of the 14th International Conference on Interaction Design and Children, 2015

2008
Large scale learning and recognition of faces in web videos.
Proceedings of the 8th IEEE International Conference on Automatic Face and Gesture Recognition (FG 2008), 2008

2001
Solving Alignment Using Elementary Linear Algebra.
Proceedings of the Compiler Optimizations for Scalable Parallel Systems Languages, 2001

1997
Numerical linear algebra.
SIAM, ISBN: 978-0-89871-361-9, 1997


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