Picture for Tessa Han

Tessa Han

Towards Safe and Aligned Large Language Models for Medicine

Add code
Mar 06, 2024
Viaarxiv icon

Efficient Estimation of the Local Robustness of Machine Learning Models

Add code
Jul 26, 2023
Viaarxiv icon

Which Explanation Should I Choose? A Function Approximation Perspective to Characterizing Post hoc Explanations

Add code
Jun 02, 2022
Figure 1 for Which Explanation Should I Choose? A Function Approximation Perspective to Characterizing Post hoc Explanations
Figure 2 for Which Explanation Should I Choose? A Function Approximation Perspective to Characterizing Post hoc Explanations
Figure 3 for Which Explanation Should I Choose? A Function Approximation Perspective to Characterizing Post hoc Explanations
Figure 4 for Which Explanation Should I Choose? A Function Approximation Perspective to Characterizing Post hoc Explanations
Viaarxiv icon

The Disagreement Problem in Explainable Machine Learning: A Practitioner's Perspective

Add code
Feb 08, 2022
Figure 1 for The Disagreement Problem in Explainable Machine Learning: A Practitioner's Perspective
Figure 2 for The Disagreement Problem in Explainable Machine Learning: A Practitioner's Perspective
Figure 3 for The Disagreement Problem in Explainable Machine Learning: A Practitioner's Perspective
Figure 4 for The Disagreement Problem in Explainable Machine Learning: A Practitioner's Perspective
Viaarxiv icon