Unveiling and Mitigating Generalized Biases of DNNs through the
Intrinsic Dimensions of Perceptual Manifolds

Unveiling and Mitigating Generalized Biases of DNNs through the Intrinsic Dimensions of Perceptual Manifolds

22 April 2024

Fang Liu

Lingling Li

Shuyuan Yang

Papers citing "Unveiling and Mitigating Generalized Biases of DNNs through the Intrinsic Dimensions of Perceptual Manifolds"

8 / 8 papers shown

Title
Orthogonal Uncertainty Representation of Data Manifold for Robust Long-Tailed Learning Yanbiao Ma Licheng Jiao Fang Liu Shuyuan Yang Xu Liu Lingling Li OOD 21 7 0 16 Oct 2023
BLIP-2: Bootstrapping Language-Image Pre-training with Frozen Image Encoders and Large Language Models Junnan Li Dongxu Li Silvio Savarese Steven C. H. Hoi VLM MLLM 244 4,186 0 30 Jan 2023
Intrinsic Dimensionality Estimation within Tight Localities: A Theoretical and Experimental Analysis Laurent Amsaleg Oussama Chelly Michael E. Houle Ken-ichi Kawarabayashi Miloš Radovanović Weeris Treeratanajaru 25 50 0 29 Sep 2022
Diffusion Models in Vision: A Survey Florinel-Alin Croitoru Vlad Hondru Radu Tudor Ionescu M. Shah DiffM VLM MedIm 186 1,098 0 10 Sep 2022
The Intrinsic Dimension of Images and Its Impact on Learning Phillip E. Pope Chen Zhu Ahmed Abdelkader Micah Goldblum Tom Goldstein 180 256 0 18 Apr 2021
Balanced Meta-Softmax for Long-Tailed Visual Recognition Jiawei Ren Cunjun Yu Shunan Sheng Xiao Ma Haiyu Zhao Shuai Yi Hongsheng Li 157 541 0 21 Jul 2020
BBN: Bilateral-Branch Network with Cumulative Learning for Long-Tailed Visual Recognition Boyan Zhou Quan Cui Xiu-Shen Wei Zhao-Min Chen 240 765 0 05 Dec 2019
ImageNet Large Scale Visual Recognition Challenge Olga Russakovsky Jia Deng Hao Su J. Krause S. Satheesh ... A. Karpathy A. Khosla Michael S. Bernstein Alexander C. Berg Li Fei-Fei VLM ObjD 279 39,083 0 01 Sep 2014