Summary of Why Are Visually-grounded Language Models Bad at Image Classification?, by Yuhui Zhang et al.
Why are Visually-Grounded Language Models Bad at Image Classification?by Yuhui Zhang, Alyssa Unell, Xiaohan Wang,…
Why are Visually-Grounded Language Models Bad at Image Classification?by Yuhui Zhang, Alyssa Unell, Xiaohan Wang,…
Classifying Overlapping Gaussian Mixtures in High Dimensions: From Optimal Classifiers to Neural Netsby Khen Cohen,…
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Multi-CATE: Multi-Accurate Conditional Average Treatment Effect Estimation Robust to Unknown Covariate Shiftsby Christoph Kern, Michael…
A Human-Like Reasoning Framework for Multi-Phases Planning Task with Large Language Modelsby Chengxing Xie, Difan…
Understanding Inter-Concept Relationships in Concept-Based Modelsby Naveen Raman, Mateo Espinosa Zarlenga, Mateja JamnikFirst submitted to…
FinerCut: Finer-grained Interpretable Layer Pruning for Large Language Modelsby Yang Zhang, Yawei Li, Xinpeng Wang,…
Non-negative Tensor Mixture Learning for Discrete Density Estimationby Kazu Ghalamkari, Jesper Løve Hinrich, Morten MørupFirst…
From Learning to Optimize to Learning Optimization Algorithmsby Camille Castera, Peter OchsFirst submitted to arxiv…
Unveiling the Cycloid Trajectory of EM Iterations in Mixed Linear Regressionby Zhankun Luo, Abolfazl HashemiFirst…