CS 6463 Advanced Topics: Trust in AI
Instructor:
Sumit Kumar Jha
Tuesdays
and Thursdays @ Zoom
January 18: Introduction to the class
Interpretation of AI
January 20: Deep Inside Convolutional
Networks: Visualizing Image Classification Models and Saliency Maps https://arxiv.org/pdf/1312.6034.pdf
Video
January 25: Student Discussion
January 27: Grad-CAM: Visual Explanations from
Deep Networks via Gradient-based Localization https://arxiv.org/pdf/1610.02391.pdf
Video
February 1: Student Discussion
February 3: Axiomatic Attribution for Deep
Networks (Integrated Gradients) http://proceedings.mlr.press/v70/sundararajan17a/sundararajan17a.pdf
Video
February 8: Student Discussion
February 10: SmoothGrad:
removing noise by adding noise https://arxiv.org/pdf/1706.03825.pdf
Video
February 15: Student Discussion and
Question-Answer Session with Instructor
February 17: Fast Axiomatic Attribution for
Neural Networks https://arxiv.org/pdf/2111.07668.pdf
Video
February 22: Student Discussion
February 24: Self-Attention Attribution:
Interpreting Information Interactions Inside Transformer https://arxiv.org/abs/2004.11207
Video
March 1: Student Discussion
March 3: Mid-term
March 8: Project Proposal
Presentations
March 10: Lecture
March 22: D-CODE: Discovering Closed-form ODEs from Observed Trajectories https://openreview.net/forum?id=wENMvIsxNN
Video
March 24: Student Discussion
March 29: 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
Video
March 31: Student Discussion
April 5: Travel
April 7: Student Discussion
April 12: On calibration of modern neural networks https://proceedings.mlr.press/v70/guo17a/guo17a.pdf
Video
April 14: Student Discussion
(Project Preview)
April 19: Attribution-Based
Confidence Metric For Deep Neural Networks https://proceedings.neurips.cc/paper/2019/file/bc1ad6e8f86c42a371aff945535baebb-Paper.pdf
Video
April 21: Student Discussion (Project
Preview)
April 26: Student Final Project
Presentations: 30 minutes per student
April 28: Student Final Project
Presentations: 30 minutes per student
May 3: Student Final Project
Presentations: 30 minutes per student