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Poster
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Tue 15:15
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A Theory of Transfer-Based Black-Box Attacks: Explanation and Implications
Yanbo Chen · Weiwei Liu
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Poster
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Wed 15:00
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Towards Evaluating Transfer-based Attacks Systematically, Practically, and Fairly
Qizhang Li · Yiwen Guo · Wangmeng Zuo · Hao Chen
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Workshop
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Unfairness Detection within Power Systems through Transfer Counterfactual Learning
Song Wei · Xiangrui Kong · Sarah Huestis-Mitchell · Yao Xie · Shixiang Zhu · Alinson Xavier · Feng Qiu
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Workshop
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Detecting Electricity Service Equity Issues with Transfer Counterfactual Learning on Large-Scale Outage Datasets
Song Wei · Xiangrui Kong · Sarah Huestis-Mitchell · Yao Xie · Shixiang Zhu · Alinson Xavier · Feng Qiu
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Workshop
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Contextual Pre-Planning on Reward Machine Abstractions for Enhanced Transfer in Deep Reinforcement Learning
Guy Azran · Mohamad Hosein Danesh · Stefano Albrecht · Sarah Keren
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Workshop
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A 3D Conditional Diffusion Model for Image Quality Transfer - An Application to Low-Field MRI
Seunghoi Kim · Daniel Alexander · Ahmed Karam Eldaly · Matteo Figini
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Workshop
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Depthwise Hyperparameter Transfer in Residual Networks: Dynamics and Scaling Limit
Blake Bordelon · Lorenzo Noci · Mufan Li · Boris Hanin · Cengiz Pehlevan
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Workshop
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Sat 13:30
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On the Distillation of Stories for Transferring Narrative Arcs in Collections of Independent Media
Dylan Ashley · Vincent Herrmann · Zachary Friggstad · Jürgen Schmidhuber
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Workshop
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Transferring Movement Understanding for Parkinson’s Therapy by Generative Pre-Training
Emily Napier · Gavia Gray · Sageev Oore
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Affinity Workshop
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Mon 13:30
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Transfer Neurons not Layers
Divya Kulkarni
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Workshop
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World Model Based Sim2Real Transfer for Visual Navigation
Kiran Lekkala · Chen Liu · Laurent Itti
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Workshop
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Predicting Adsorption Energies for Catalyst Screening with Transfer Learning Using Crystal Hamiltonian Graph Neural Network
Angelina Chen · Hui Zheng · Paula Harder
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