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Quantifying the Interpretability of Individual Units Network Dissection
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Human-Centric AI for Computer Vision and Machine Autonomy - ICCV'21 Tutorial
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- 1 Intro
- 2 Success and Challenge of Al
- 3 Can Deep Al Models Think like Humans?
- 4 Toward Human-centric Al
- 5 Al Model for Scene Classification
- 6 Explaining the Prediction Class Activation Mapping (CAM)
- 7 Explaining Model Prediction
- 8 Application to Medical Imaging
- 9 Explainable Al for Classification
- 10 Quantifying the Interpretability of Individual Units Network Dissection
- 11 Key units for classifying Living room
- 12 Key units for classifying Restaurant: Tables
- 13 Rapid Progress for Image Generation 2014
- 14 2021: Text2Image Model from OpenAI
- 15 Al Model for Image Generation
- 16 Identifying Causality in Latent Space
- 17 Pushing Latent Code to the Subspace Latent Space
- 18 Steering Generative Model
- 19 Steerable Al Model for Generation
- 20 Understanding the Role of Individual Units
- 21 Unsupervised Learning of Steerable Dimensions
- 22 Al Model for Machine Autonomy
- 23 Human-in-the-Loop Reinforcement Learning
- 24 Improving the diversity of the environment
- 25 Generalizability is improved by environment diversity
- 26 Impact Areas of Human-Centric Al
