Learning Discrete Concepts in Latent Hierarchical Models

1 June 2024

Papers citing "Learning Discrete Concepts in Latent Hierarchical Models"

9 / 9 papers shown

Title
I Predict Therefore I Am: Is Next Token Prediction Enough to Learn Human-Interpretable Concepts from Data? Yuhang Liu Dong Gong Erdun Gao Zhen Zhang Biwei Huang Mingming Gong Anton van den Hengel Javen Qinfeng Shi J. Shi 116 0 0 12 Mar 2025
Towards Understanding Extrapolation: a Causal Lens Lingjing Kong Guangyi Chen P. Stojanov H. Li Eric P. Xing Kun Zhang 118 2 0 17 Jan 2025
Differentiable Causal Discovery For Latent Hierarchical Causal Models Parjanya Prashant Ignavier Ng Kun Zhang Biwei Huang CML 137 0 0 29 Nov 2024
Emergence of Hidden Capabilities: Exploring Learning Dynamics in Concept Space Core Francisco Park Maya Okawa Andrew Lee Ekdeep Singh Lubana Hidenori Tanaka 52 7 0 27 Jun 2024
Latent Hierarchical Causal Structure Discovery with Rank Constraints Biwei Huang C. Low Feng Xie Clark Glymour Kun Zhang CML 60 40 0 01 Oct 2022
Concept Embedding Models: Beyond the Accuracy-Explainability Trade-Off M. Zarlenga Pietro Barbiero Gabriele Ciravegna G. Marra Francesco Giannini ... F. Precioso S. Melacci Adrian Weller Pietro Lio' M. Jamnik 71 52 0 19 Sep 2022
Masked Autoencoders Are Scalable Vision Learners Kaiming He Xinlei Chen Saining Xie Yanghao Li Piotr Dollár Ross B. Girshick ViT TPM 258 7,434 0 11 Nov 2021
Unsupervised Discovery of 3D Physical Objects from Video Yilun Du Kevin A. Smith Tomer Ulman J. Tenenbaum Jiajun Wu OCL 105 37 0 24 Jul 2020
Trek separation for Gaussian graphical models S. Sullivant Kelli Talaska J. Draisma 125 124 0 10 Dec 2008