How Does Information Bottleneck Help Deep Learning?

30 May 2023

Papers citing "How Does Information Bottleneck Help Deep Learning?"

10 / 10 papers shown

Title
Generalization Capability for Imitation Learning Yixiao Wang 42 0 0 25 Apr 2025
Generalization Guarantees for Representation Learning via Data-Dependent Gaussian Mixture Priors Milad Sefidgaran A. Zaidi Piotr Krasnowski 77 1 0 21 Feb 2025
Steinmetz Neural Networks for Complex-Valued Data Shyam Venkatasubramanian Ali Pezeshki Vahid Tarokh 85 0 0 17 Feb 2025
Alpha and Prejudice: Improving $α$ -sized Worst-case Fairness via Intrinsic Reweighting Jing Li Yinghua Yao Yuangang Pan Xuanqian Wang Ivor Tsang Xiuju Fu FaML 23 0 0 05 Nov 2024
Coding for Intelligence from the Perspective of Category Wenhan Yang Zixuan Hu Lilang Lin Jiaying Liu Ling-Yu Duan AI4CE 30 1 0 01 Jul 2024
Pretraining with Random Noise for Fast and Robust Learning without Weight Transport Jeonghwan Cheon Sang Wan Lee Se-Bum Paik OOD 54 1 0 27 May 2024
Information-Theoretic Generalization Bounds for Transductive Learning and its Applications Huayi Tang Yong Liu 48 1 0 08 Nov 2023
Sources of Richness and Ineffability for Phenomenally Conscious States Xu Ji Eric Elmoznino George Deane Axel Constant G. Dumas Guillaume Lajoie Jonathan Simon Yoshua Bengio 10 11 0 13 Feb 2023
An Unconstrained Layer-Peeled Perspective on Neural Collapse Wenlong Ji Yiping Lu Yiliang Zhang Zhun Deng Weijie J. Su 122 83 0 06 Oct 2021
Compressive Visual Representations Kuang-Huei Lee Anurag Arnab S. Guadarrama John F. Canny Ian S. Fischer SSL 54 48 0 27 Sep 2021