Research Explorer
Papers
Conferences
Authors
Topics
Keywords
Trends
Achievements
Explore
← Learning Types
Machine Learning
›
Learning Types
›
Domain Generalization
330 directly classified papers
Papers per year
2013: 1
2017: 1
2018: 5
2019: 5
2020: 13
2021: 35
2022: 56
2023: 60
2024: 95
2025: 57
2026: 2
Papers
Does it Really Generalize Well on Unseen Data? Systematic Evaluation of Relational Triple Extraction Methods
NAACL 2022
Decorrelate Irrelevant, Purify Relevant: Overcome Textual Spurious Correlations from a Feature Perspective
COLING 2022
Extending the Scope of Out-of-Domain: Examining QA models in multiple subdomains
ACL 2022
Domain Generalization Through Audio-Visual Relative Norm Alignment in First Person Action Recognition
WACV 2022
Dynamic CNNs Using Uncertainty To Overcome Domain Generalization for Surgical Instrument Localization
WACV 2022
Multi-Domain Semantic Segmentation With Overlapping Labels
WACV 2022
Less Is Better: Recovering Intended-Feature Subspace to Robustify NLU Models
COLING 2022
Towards Robust Neural Retrieval with Source Domain Synthetic Pre-Finetuning
COLING 2022
BatchFormer: Learning To Explore Sample Relationships for Robust Representation Learning
CVPR 2022
An Online Learning Approach to Interpolation and Extrapolation in Domain Generalization
AISTATS 2022
Chasing the Tail with Domain Generalization: A Case Study on Frequency-Enriched Datasets
AACL 2022
MAgNet: Mesh Agnostic Neural PDE Solver
NIPS 2022
Loss Function Learning for Domain Generalization by Implicit Gradient
ICML 2022
FOCUS: Familiar Objects in Common and Uncommon Settings
ICML 2022
Generalizing to Evolving Domains with Latent Structure-Aware Sequential Autoencoder
ICML 2022
Fishr: Invariant Gradient Variances for Out-of-Distribution Generalization
ICML 2022
Provable Domain Generalization via Invariant-Feature Subspace Recovery
ICML 2022
A Theoretical Analysis on Independence-driven Importance Weighting for Covariate-shift Generalization
ICML 2022
Improving Out-of-Distribution Robustness via Selective Augmentation
ICML 2022
Rich Feature Construction for the Optimization-Generalization Dilemma
ICML 2022
On the Effects of Transformer Size on In- and Out-of-Domain Calibration
EMNLP 2021
Learn to Expect the Unexpected: Probably Approximately Correct Domain Generalization
AISTATS 2021
Domain Generalization by Marginal Transfer Learning
JMLR 2021
Meta Batch-Instance Normalization for Generalizable Person Re-Identification
CVPR 2021
Out-of-Distribution Generalization via Risk Extrapolation (REx)
ICML 2021
<
1
…
10
11
12
13
14
>