CS 6463 Advanced Topics: Trust in AI
Instructor:
Sumit Kumar Jha
Optional
Meeting: Friday 3:30 pm @ Zoom
Part I: Explainable Artificial Intelligence
Week 1-2 (Jan 17 to Jan 27): Deep Inside
Convolutional Networks: Visualizing Image Classification Models and Saliency
Maps https://arxiv.org/pdf/1312.6034.pdf
Week 3 (Jan 30 to Feb 5): Grad-CAM: Visual
Explanations from Deep Networks via Gradient-based Localization https://arxiv.org/pdf/1610.02391.pdf
Week 4 (Feb 6 to Feb 12): Axiomatic
Attribution for Deep Networks (Integrated Gradients) http://proceedings.mlr.press/v70/sundararajan17a/sundararajan17a.pdf
Week 5 (Feb 13 to Feb 19): SmoothGrad:
removing noise by adding noise https://arxiv.org/pdf/1706.03825.pdf
Week 6 (Feb 20 to Feb 28): Fast Axiomatic
Attribution for Neural Networks https://arxiv.org/pdf/2111.07668.pdf
Week 7-8: (March 1 to March 10)
Self-Attention Attribution: Interpreting Information Interactions Inside
Transformer https://arxiv.org/abs/2004.11207
Week 9: Spring Break
Part II: Confidence Metrics for
Neural Networks
Week 10-11 (March 20 to March 31):
Probabilistic Outputs for Support Vector Machines and Comparisons to
Regularized Likelihood Methods https://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.41.1639
Week 12 (April 3 to April 9): On
calibration of modern neural networks https://proceedings.mlr.press/v70/guo17a/guo17a.pdf
Week 13-15 (April 10 to April 28):
Attribution-Based Confidence Metric For Deep Neural
Networks
https://proceedings.neurips.cc/paper/2019/file/bc1ad6e8f86c42a371aff945535baebb-Paper.pdf
April 29,
2023: Spring 2023 departmental picnic at Dellview
Park, 500 Basswood, San Antonio, TX.
Week 15-16
(April 28 to May 2): Optional Reading
May 2, 2023: Last Day of Classes
Week 16 (May
4 to May 10): Final Exams Week: Optional Project Presentations
May 15, 2023: Grades due on myUTSA