Summary of Representative Social Choice: From Learning Theory to Ai Alignment, by Tianyi Qiu
Representative Social Choice: From Learning Theory to AI Alignmentby Tianyi QiuFirst submitted to arxiv on:…
Representative Social Choice: From Learning Theory to AI Alignmentby Tianyi QiuFirst submitted to arxiv on:…
Graph Neural Networks Uncover Geometric Neural Representations in Reinforcement-Based Motor Learningby Federico Nardi, Jinpei Han,…
RAGraph: A General Retrieval-Augmented Graph Learning Frameworkby Xinke Jiang, Rihong Qiu, Yongxin Xu, Wentao Zhang,…
Automatically Learning Hybrid Digital Twins of Dynamical Systemsby Samuel Holt, Tennison Liu, Mihaela van der…
Why Fine-grained Labels in Pretraining Benefit Generalization?by Guan Zhe Hong, Yin Cui, Ariel Fuxman, Stanley…
VisualPredicator: Learning Abstract World Models with Neuro-Symbolic Predicates for Robot Planningby Yichao Liang, Nishanth Kumar,…
Toward Understanding In-context vs. In-weight Learningby Bryan Chan, Xinyi Chen, András György, Dale SchuurmansFirst submitted to…
Offline Behavior Distillationby Shiye Lei, Sen Zhang, Dacheng TaoFirst submitted to arxiv on: 30 Oct…
Theoretical Investigations and Practical Enhancements on Tail Task Risk Minimization in Meta Learningby Yiqin Lv,…
Reweighting Local Mimina with Tilted SAMby Tian Li, Tianyi Zhou, Jeffrey A. BilmesFirst submitted to…