AAAI 2024 "out-of-distribution generalization" Papers
10 papers found
Debiasing Multimodal Sarcasm Detection with Contrastive Learning
Mengzhao Jia, Can Xie, Liqiang Jing
AAAI 2024paperarXiv:2312.10493
43
citations
Diagnosing and Rectifying Fake OOD Invariance: A Restructured Causal Approach
Ziliang Chen, Yongsen Zheng, Zhao-Rong Lai et al.
AAAI 2024paperarXiv:2312.09758
4
citations
Domain Invariant Learning for Gaussian Processes and Bayesian Exploration
Xilong Zhao, Siyuan Bian, Yaoyun Zhang et al.
AAAI 2024paperarXiv:2312.11318
2
citations
G-NAS: Generalizable Neural Architecture Search for Single Domain Generalization Object Detection
Fan Wu, Jinling Gao, Lanqing Hong et al.
AAAI 2024paperarXiv:2402.04672
22
citations
Graph Invariant Learning with Subgraph Co-mixup for Out-of-Distribution Generalization
Tianrui Jia, Haoyang Li, Cheng Yang et al.
AAAI 2024paperarXiv:2312.10988
32
citations
Invariant Random Forest: Tree-Based Model Solution for OOD Generalization
Yufan LIAO, Qi Wu, Xing Yan
AAAI 2024paperarXiv:2312.04273
3
citations
Learning Visual Abstract Reasoning through Dual-Stream Networks
Kai Zhao, Chang Xu, Bailu Si
AAAI 2024paperarXiv:2411.19451
9
citations
MSGNet: Learning Multi-Scale Inter-series Correlations for Multivariate Time Series Forecasting
Wanlin Cai, Yuxuan Liang, Xianggen Liu et al.
AAAI 2024paperarXiv:2401.00423
177
citations
Optimistic Model Rollouts for Pessimistic Offline Policy Optimization
Yuanzhao Zhai, Yiying Li, Zijian Gao et al.
AAAI 2024paperarXiv:2401.05899
RetroOOD: Understanding Out-of-Distribution Generalization in Retrosynthesis Prediction
Yemin Yu, Luotian Yuan, Ying WEI et al.
AAAI 2024paperarXiv:2312.10900