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103 Results
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Poster
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Fri 1:45 |
Structural Fairness-aware Active Learning for Graph Neural Networks Haoyu Han · Xiaorui Liu · Li Ma · MohamadAli Torkamani · Hui Liu · Jiliang Tang · Makoto Yamada |
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Workshop
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On Fairness Implications and Evaluations of Low-Rank Adaptation of Large Models Ken Liu · Zhoujie Ding · Berivan Isik · Sanmi Koyejo |
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Workshop
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Federated Unlearning: a Perspective of Stability and Fairness Jiaqi Shao · Tao Lin · Xuanyu Cao · Bing Luo |
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Workshop
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Exploiting Cultural Biases via Homoglyphs in Text-to-Image Synthesis Lukas Struppek · Dominik Hintersdorf · Felix Friedrich · Manuel Brack · Patrick Schramowski · Kristian Kersting |
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Workshop
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Massive Activations in Large Language Models Mingjie Sun · Xinlei Chen · J Kolter · Zhuang Liu |
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Workshop
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Improving Practical Counterfactual Fairness with Limited Causal Knowledge Zeyu Zhou · Ruqi Bai · David Inouye |
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Workshop
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FairProof : Confidential and Certifiable Fairness for Neural Networks Chhavi Yadav · Amrita Roy Chowdhury · Dan Boneh · Kamalika Chaudhuri |
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Workshop
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Towards a Theoretical Understanding of Model Collapse Elvis Dohmatob · Yunzhen Feng · Julia Kempe |
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Workshop
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A Tale of Tails: Model Collapse as a Change of Scaling Laws Yunzhen Feng · Elvis Dohmatob · Pu Yang · François Charton · Julia Kempe |
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Workshop
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On Fairness Implications and Evaluations of Low-Rank Adaptation of Large Models Ken Liu · Zhoujie Ding · Berivan Isik · Sanmi Koyejo |
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Workshop
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On Fairness Implications and Evaluations of Low-Rank Adaptation of Large Models Ken Liu · Zhoujie Ding · Berivan Isik · Sanmi Koyejo |
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Workshop
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Beyond A*: Better LLM planning via Search Dynamics Bootstrapping Lucas Lehnert · Sainbayar Sukhbaatar · Paul McVay · Michael Rabbat · Yuandong Tian |