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Workshop
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Sun 12:25
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When All Options Are Wrong: Evaluating Large Language Model Robustness with Incorrect Multiple-Choice Options
Gracjan Góral · Emilia Wiśnios
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Poster
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Thu 11:00
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RAMP: Boosting Adversarial Robustness Against Multiple lplp Perturbations for Universal Robustness
Enyi Jiang · Gagandeep Singh
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Workshop
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Towards Representative Social Choice Using Statistical Learning Theory
Tianyi (Alex) Qiu
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Workshop
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An Empirical Analysis of Speech Self-Supervised Learning at Multiple Resolutions
Theo Clark · Benedetta Cevoli · Eloy de Jong · Timofey Abramski · Jamie Dougherty
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Poster
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Fri 11:00
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OPERA: Automatic Offline Policy Evaluation with Re-weighted Aggregates of Multiple Estimators
Allen Nie · Yash Chandak · Christina Yuan · Anirudhan Badrinath · Yannis Flet-Berliac · Emma Brunskill
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Poster
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Online Learning of Delayed Choices
Recep Yusuf Bekci
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Poster
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Wed 11:00
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Harnessing Multiple Correlated Networks for Exact Community Recovery
Miklos Z. Racz · Jifan Zhang
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Workshop
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Sat 16:15
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Contributed Talk: Representative Social Choice: From Learning Theory to AI Alignment
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Poster
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Thu 16:30
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ShiftAddLLM: Accelerating Pretrained LLMs via Post-Training Multiplication-Less Reparameterization
Haoran You · Yipin Guo · Yichao Fu · Wei Zhou · Huihong Shi · Xiaofan Zhang · Souvik Kundu · Amir Yazdanbakhsh · Yingyan (Celine) Lin
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Poster
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Fri 16:30
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Are Multiple Instance Learning Algorithms Learnable for Instances?
Jaeseok Jang · HYUK-YOON KWON
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Poster
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Fri 16:30
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Controlling Multiple Errors Simultaneously with a PAC-Bayes Bound
Reuben Adams · John Shawe-Taylor · Benjamin Guedj
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Poster
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Wed 16:30
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DataStealing: Steal Data from Diffusion Models in Federated Learning with Multiple Trojans
Yuan Gan · Jiaxu Miao · Yi Yang
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