Neil Jethani
3 papers · 2021–2023 · 2 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
Jump to papers ↓
🌍
Conference Polyglot · Bronze
🐣
Hot Topic Early Bird
❓
The Questioner
Venues
Top co-authors
Research topics
Keywords
shapley value
(2)
model explanation
(2)
feature importance
(1)
feature attribution
(1)
black-box model
(1)
weighted least square
(1)
label leakage
(1)
amortized explanation
(1)
fidelity evaluation
(1)
class-dependent method
(1)
explanation method evaluation
(1)
distribution-aware method
(1)
selector model
(1)
stochastic gradient descent
(1)
explainer model
(1)
interpretable machine learning
(1)
Papers
Don’t be fooled: label leakage in explanation methods and the importance of their quantitative evaluation
AISTATS 2023
FastSHAP: Real-Time Shapley Value Estimation
ICLR 2022
Have We Learned to Explain?: How Interpretability Methods Can Learn to Encode Predictions in their Interpretations.
AISTATS 2021