A Bit More Bayesian: Domain-Invariant Learning with Uncertainty

A Bit More Bayesian: Domain-Invariant Learning with Uncertainty

9 May 2021

Cees G. M. Snoek

Papers citing "A Bit More Bayesian: Domain-Invariant Learning with Uncertainty"

11 / 11 papers shown

Title
Uncertainty-Guided Self-Questioning and Answering for Video-Language Alignment Jin Chen Kaijing Ma Haojian Huang Jiayu Shen Han Fang Xianghao Zang Chao Ban 79 2 0 17 Sep 2024
Towards Robust Uncertainty-Aware Incomplete Multi-View Classification Mulin. Chen Haojian Huang Qiang Li UQCV 28 1 0 10 Sep 2024
Causal Understanding For Video Question Answering Bhanu Prakash Reddy Guda Tanmay Kulkarni Adithya Sampath Swarnashree Mysore Sathyendra CML 41 0 0 23 Jul 2024
Domain Generalization with Small Data Kecheng Chen Elena Gal Hong Yan Haoliang Li OOD 19 5 0 09 Feb 2024
Bayesian Domain Invariant Learning via Posterior Generalization of Parameter Distributions Shiyu Shen Bin Pan Tianyang Shi Tao Li Zhenwei Shi BDL OOD 16 1 0 25 Oct 2023
Domain-Indexing Variational Bayes: Interpretable Domain Index for Domain Adaptation Zihao Xu Guang-Yuan Hao Hao He Hao Wang 30 18 0 06 Feb 2023
A General Framework for quantifying Aleatoric and Epistemic uncertainty in Graph Neural Networks Sai Munikoti D. Agarwal Laya Das Balasubramaniam Natarajan BDL UD 18 13 0 20 May 2022
Causality Inspired Representation Learning for Domain Generalization Fangrui Lv Jian Liang Shuang Li Bin Zang Chi Harold Liu Ziteng Wang Di Liu CML OOD 25 160 0 27 Mar 2022
Hierarchical Variational Memory for Few-shot Learning Across Domains Yingjun Du Xiantong Zhen Ling Shao Cees G. M. Snoek VLM BDL 30 21 0 15 Dec 2021
Out-of-Distribution Generalization via Risk Extrapolation (REx) David M. Krueger Ethan Caballero J. Jacobsen Amy Zhang Jonathan Binas Dinghuai Zhang Rémi Le Priol Aaron Courville OOD 215 900 0 02 Mar 2020
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Chelsea Finn Pieter Abbeel Sergey Levine OOD 281 11,677 0 09 Mar 2017