Multi-Instance Causal Representation Learning for Instance Label
Prediction and Out-of-Distribution Generalization

Multi-Instance Causal Representation Learning for Instance Label Prediction and Out-of-Distribution Generalization

25 February 2022

Min-Ling Zhang

Papers citing "Multi-Instance Causal Representation Learning for Instance Label Prediction and Out-of-Distribution Generalization"

15 / 15 papers shown

Title
Denoising Mutual Knowledge Distillation in Bi-Directional Multiple Instance Learning Chen Shu Boyu Fu Yiman Li Ting Yin Wenchuan Zhang Jie Chen Yuhao Yi Hong Bu 17 0 0 17 May 2025
MExD: An Expert-Infused Diffusion Model for Whole-Slide Image Classification Jianwei Zhao Xin Li Fan Yang Qiang Zhai Ao Luo Yang Zhao Hong-wei Cheng Huazhu Fu DiffM MedIm 58 0 0 16 Mar 2025
Multi-Instance Partial-Label Learning with Margin Adjustment Wei Tang Yin-Fang Yang Zhaofei Wang Feiyu Xiong Hao Fei 83 0 0 22 Jan 2025
Exploiting Conjugate Label Information for Multi-Instance Partial-Label Learning Wei Tang Weijia Zhang Min-Ling Zhang 29 3 0 26 Aug 2024
Unifying Invariant and Variant Features for Graph Out-of-Distribution via Probability of Necessity and Sufficiency Xuexin Chen Ruichu Cai Kaitao Zheng Zhifan Jiang Zhengting Huang Zhifeng Hao Zijian Li 67 0 0 21 Jul 2024
Introducing Diminutive Causal Structure into Graph Representation Learning Hang Gao Peng Qiao Yifan Jin Fengge Wu Jiangmeng Li Changwen Zheng 52 4 0 13 Jun 2024
Unifying Invariance and Spuriousity for Graph Out-of-Distribution via Probability of Necessity and Sufficiency Xuexin Chen Ruichu Cai Kaitao Zheng Zhifan Jiang Zhengting Huang Zhifeng Hao Zijian Li 29 2 0 14 Feb 2024
Identifying Semantic Component for Robust Molecular Property Prediction Zijian Li Zunhong Xu Ruichu Cai Zhenhui Yang Yuguang Yan Zhifeng Hao Guan-Hong Chen Kun Zhang 27 9 0 08 Nov 2023
Reproducibility in Multiple Instance Learning: A Case For Algorithmic Unit Tests Edward Raff James Holt 27 3 0 27 Oct 2023
Disambiguated Attention Embedding for Multi-Instance Partial-Label Learning Wei Tang Weijia Zhang Min-Ling Zhang 37 9 0 26 May 2023
Rethinking the Value of Labels for Instance-Dependent Label Noise Learning Hanwen Deng Weijia Zhang Min-Ling Zhang NoLa 38 0 0 10 May 2023
Transformer-based Multi-Instance Learning for Weakly Supervised Object Detection Zhaofei Wang Weijia Zhang Min-Ling Zhang ViT WSOD 21 3 0 27 Mar 2023
Introducing Expertise Logic into Graph Representation Learning from A Causal Perspective Hang Gao Jiangmeng Li Jingyao Wang Hui Xiong Xingzhe Su Feng Wu Changwen Zheng Gang Hua 42 0 0 20 Jan 2023
Multi-Instance Partial-Label Learning: Towards Exploiting Dual Inexact Supervision Wei Tang Weijia Zhang Min-Ling Zhang 19 12 0 18 Dec 2022
Non-I.I.D. Multi-Instance Learning for Predicting Instance and Bag Labels using Variational Auto-Encoder Weijia Zhang 32 12 0 04 May 2021