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Poster
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Thu 13:30
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A Model-free Closeness-of-influence Test for Features in Supervised Learning
Mohammad Mehrabi · Ryan A Rossi
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Poster
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Wed 17:00
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Deep Graph Representation Learning and Optimization for Influence Maximization
Chen Ling · Junji Jiang · Junxiang Wang · My T. Thai · Renhao Xue · James Song · Meikang Qiu · Liang Zhao
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Poster
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Tue 17:00
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Differential Privacy, Linguistic Fairness, and Training Data Influence: Impossibility and Possibility Theorems for Multilingual Language Models
Phillip Rust · Anders Søgaard
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Poster
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Wed 17:00
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RGE: A Repulsive Graph Rectification for Node Classification via Influence
Jaeyun Song · Sungyub Kim · Eunho Yang
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Poster
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Tue 17:00
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Probabilistic Attention-to-Influence Neural Models for Event Sequences
Xiao Shou · DEBARUN BHATTACHARJYA · Tian Gao · Dharmashankar Subramanian · Oktie Hassanzadeh · Kristin Bennett
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Workshop
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Memory Maps to Understand Models
Dharmesh Tailor · Paul Chang · Siddharth Swaroop · Eric Nalisnick · Arno Solin · Khan Emtiyaz
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Workshop
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The Journey, Not the Destination: How Data Guides Diffusion Models
Kristian Georgiev · Joshua Vendrow · Hadi Salman · Sung Min (Sam) Park · Aleksander Madry
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Affinity Workshop
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Sat 18:20
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Indigenous Design Methods influence on Human-Computer Interaction and AI Design. Kari Noe, University of Hawaiʻi.
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Workshop
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The corrupting influence of AI as a boss or Counterparty
Hal Ashton · Matija Franklin
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Workshop
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Understanding Unfairness via Training Concept Influence
Yuanshun Yao · Yang Liu
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Workshop
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Forward-INF : Efficient Data Influence Estimation with Duality-based Counterfactual Analysis
Myeongseob Ko · Feiyang Kang · Weiyan Shi · Ming Jin · Zhou Yu · Ruoxi Jia
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