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,…
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…
Subgraph Aggregation for Out-of-Distribution Generalization on Graphsby Bowen Liu, Haoyang Li, Shuning Wang, Shuo Nie,…