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Affinity Event
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Out-of-Distribution performance as a proxy metric for graph neural network explainers in the absence of ground-truth explanations
Guadalupe Gonzalez · Chirag Agarwal · Siddharth Betala
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Poster
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Thu 16:30
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DU-Shapley: A Shapley Value Proxy for Efficient Dataset Valuation
Felipe Garrido Lucero · Benjamin Heymann · Maxime Vono · Patrick Loiseau · Vianney Perchet
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Poster
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Wed 11:00
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Fast Proxy Experiment Design for Causal Effect Identification
Sepehr Elahi · Sina Akbari · Jalal Etesami · Negar Kiyavash · Patrick Thiran
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Poster
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Fri 11:00
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Customized Multiple Clustering via Multi-Modal Subspace Proxy Learning
Jiawei Yao · Qi Qian · Juhua Hu
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Poster
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AdaNeg: Adaptive Negative Proxy Guided OOD Detection with Vision-Language Models
Yabin Zhang · Lei Zhang
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Workshop
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Keep on Swimming: Real Attackers Only Need Partial Knowledge of a Multi-Model System
Julian Collado · Kevin Stangl
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Workshop
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Sun 8:45
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Learning to Act in Noisy Contexts Using Deep Proxy Learning (Invited Talk by Arthur Gretton)
Arthur Gretton
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Workshop
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Sun 10:30
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On Domain Generalization Datasets as Proxy Benchmarks for Causal Representation Learning
Olawale Salaudeen · Nicole Chiou
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Workshop
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Learning from Less: Bayesian Neural Networks for Optimization Proxy using Limited Labeled Data
Parikshit Pareek · Kaarthik Sundar · Deep Deka · Sidhant Misra
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Workshop
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On Domain Generalization Datasets as Proxy Benchmarks for Causal Representation Learning
Olawale Salaudeen · Nicole Chiou · Sanmi Koyejo
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Workshop
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LLMs Infer Protected Attributes Beyond Proxy Features
Dimitri Staufer
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