Skip to yearly menu bar Skip to main content


Search All 2023 Events
 

56 Results

<<   <   Page 4 of 5   >   >>
Workshop
Extending counterfactual reasoning models to capture unconstrained social explanations
Stephanie Droop · Neil Bramley
Workshop
Unveiling the Betrayal of Counterfactual Explanations within Recommender Systems
Ziheng Chen · Jin Huang · Ping Chang Lee · Fabrizio Silvestri · Hongshik Ahn · Jia Wang · Yongfeng Zhang · Gabriele Tolomei
Workshop
Sat 17:50 Counterfactually Comparing Abstaining Classifiers
Yo Joong Choe · Aditya Gangrade · Aaditya Ramdas
Workshop
Navigating Explanatory Multiverse Through Counterfactual Path Geometry
Edward Small · Yueqing Xuan · Kacper Sokol
Workshop
Interventional and Counterfactual Inference with Diffusion Models
Patrick Chao · Patrick Bloebaum · Shiva Kasiviswanathan
Workshop
Counterfactual Explanation Policies in RL
Shripad Deshmukh · Srivatsan R · Supriti Vijay · Jayakumar Subramanian · Chirag Agarwal
Workshop
Forward-INF : Efficient Data Influence Estimation with Duality-based Counterfactual Analysis
Myeongseob Ko · Feiyang Kang · Weiyan Shi · Ming Jin · Zhou Yu · Ruoxi Jia
Workshop
Counterfactual Generation with Identifiability Guarantees
Hanqi Yan · Lingjing Kong · Lin Gui · Yuejie Chi · Eric Xing · Yulan He · Kun Zhang
Workshop
Counterfactually Comparing Abstaining Classifiers
Yo Joong Choe · Aditya Gangrade · Aaditya Ramdas
Workshop
The Matrix Reloaded: A Counterfactual Perspective on Bias in Machine Learning
Andre Carreiro · Mariana Pinto · Pedro Madeira · Alberto Lopez · Hugo Gamboa
Workshop
Counterfactual Explanations for Misclassified Images: How Human and Machine Explanations Differ
Eoin Delaney · Arjun Pakrashi · Derek Greene · Mark Keane
Workshop
Sat 14:50 Counterfactual Explanations for Misclassified Images: How Human and Machine Explanations Differ
Eoin Delaney · Arjun Pakrashi · Derek Greene · Mark Keane