Exploiting Chain Rule and Bayes' Theorem to Compare Probability
Distributions

Exploiting Chain Rule and Bayes' Theorem to Compare Probability Distributions

28 December 2020

Huangjie Zheng

Mingyuan Zhou

Papers citing "Exploiting Chain Rule and Bayes' Theorem to Compare Probability Distributions"

7 / 7 papers shown

Title
TsCA: On the Semantic Consistency Alignment via Conditional Transport for Compositional Zero-Shot Learning Miaoge Li Jingcai Guo Richard Yi Da Xu Dongsheng Wang Xiaofeng Cao Zhijie Rao Song Guo CoGe 68 3 0 28 Jan 2025
Score Forgetting Distillation: A Swift, Data-Free Method for Machine Unlearning in Diffusion Models Tianqi Chen Shujian Zhang Mingyuan Zhou DiffM 69 3 0 17 Sep 2024
Diffusion-RPO: Aligning Diffusion Models through Relative Preference Optimization Yi Gu Zhendong Wang Yueqin Yin Yujia Xie Mingyuan Zhou 29 15 0 10 Jun 2024
PatchCT: Aligning Patch Set and Label Set with Conditional Transport for Multi-Label Image Classification Miaoge Li Dongsheng Wang Xinyang Liu Zequn Zeng Ruiying Lu Bo Chen Mingyuan Zhou VLM OT 18 15 0 18 Jul 2023
Patch-Prompt Aligned Bayesian Prompt Tuning for Vision-Language Models Xinyang Liu Dongsheng Wang Bowei Fang Miaoge Li Zhibin Duan Yishi Xu Bo Chen Mingyuan Zhou VLM VPVLM 21 5 0 16 Mar 2023
Contrastive Attraction and Contrastive Repulsion for Representation Learning Huangjie Zheng Xu Chen Jiangchao Yao Hongxia Yang Chunyuan Li Ya-Qin Zhang Hao Zhang Ivor Tsang Jingren Zhou Mingyuan Zhou SSL 34 12 0 08 May 2021
A Style-Based Generator Architecture for Generative Adversarial Networks Tero Karras S. Laine Timo Aila 264 10,348 0 12 Dec 2018