|
Poster
|
Tue 9:00
|
WeightedSHAP: analyzing and improving Shapley based feature attributions
Yongchan Kwon · James Zou
|
|
|
Workshop
|
|
The Counterfactual-Shapley Value: Attributing Change in System Metrics
Amit Sharma · Hua Li · Jian Jiao
|
|
|
Poster
|
Tue 14:00
|
RKHS-SHAP: Shapley Values for Kernel Methods
Siu Lun Chau · Robert Hu · Javier González · Dino Sejdinovic
|
|
|
Poster
|
Wed 9:00
|
Explaining Preferences with Shapley Values
Robert Hu · Siu Lun Chau · Jaime Ferrando Huertas · Dino Sejdinovic
|
|
|
Poster
|
Tue 14:00
|
CS-Shapley: Class-wise Shapley Values for Data Valuation in Classification
Stephanie Schoch · Haifeng Xu · Yangfeng Ji
|
|
|
Workshop
|
|
Enabling the Visualization of Distributional Shift using Shapley Values
Bin Li · Chiara Balestra · Emmanuel Müller
|
|
|
Poster
|
Wed 14:00
|
Rethinking and Improving Robustness of Convolutional Neural Networks: a Shapley Value-based Approach in Frequency Domain
Yiting Chen · Qibing Ren · Junchi Yan
|
|
|
Poster
|
Tue 14:00
|
Additive MIL: Intrinsically Interpretable Multiple Instance Learning for Pathology
Syed Ashar Javed · Dinkar Juyal · Harshith Padigela · Amaro Taylor-Weiner · Limin Yu · Aaditya Prakash
|
|
|
Poster
|
Wed 9:00
|
Trade-off between Payoff and Model Rewards in Shapley-Fair Collaborative Machine Learning
Quoc Phong Nguyen · Bryan Kian Hsiang Low · Patrick Jaillet
|
|
|
Poster
|
Thu 9:00
|
SHAQ: Incorporating Shapley Value Theory into Multi-Agent Q-Learning
Jianhong Wang · Yuan Zhang · Yunjie Gu · Tae-Kyun Kim
|
|
|
Poster
|
Tue 14:00
|
Neural Payoff Machines: Predicting Fair and Stable Payoff Allocations Among Team Members
Daphne Cornelisse · Thomas Rood · Yoram Bachrach · Mateusz Malinowski · Tal Kachman
|
|
