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Domain Generalization
1760 directly classified papers
Papers per year
2008: 1
2013: 2
2014: 1
2015: 4
2016: 2
2017: 6
2018: 12
2019: 68
2020: 85
2021: 213
2022: 277
2023: 378
2024: 322
2025: 280
2026: 109
Papers
Boosting Out-of-distribution Detection with Typical Features
NIPS 2022
OOD Link Prediction Generalization Capabilities of Message-Passing GNNs in Larger Test Graphs
NIPS 2022
Domain Generalization by Learning and Removing Domain-specific Features
NIPS 2022
Finding Differences Between Transformers and ConvNets Using Counterfactual Simulation Testing
NIPS 2022
OptTTA: Learnable Test-Time Augmentation for Source-Free Medical Image Segmentation Under Domain Shift
MIDL 2022
Assessing Combinational Generalization of Language Models in Biased Scenarios
AACL 2022
Environment Diversification with Multi-head Neural Network for Invariant Learning
NIPS 2022
Efficient and Effective Augmentation Strategy for Adversarial Training
NIPS 2022
Lost in Latent Space: Examining failures of disentangled models at combinatorial generalisation
NIPS 2022
Wild-Time: A Benchmark of in-the-Wild Distribution Shift over Time
NIPS 2022
Models Out of Line: A Fourier Lens on Distribution Shift Robustness
NIPS 2022
Agreement-on-the-line: Predicting the Performance of Neural Networks under Distribution Shift
NIPS 2022
Improving Robustness against Real-World and Worst-Case Distribution Shifts through Decision Region Quantification
ICML 2022
MAgNet: Mesh Agnostic Neural PDE Solver
NIPS 2022
How Hate Speech Varies by Target Identity: A Computational Analysis
CONLL 2022
Perturbations and Subpopulations for Testing Robustness in Token-Based Argument Unit Recognition
COLING 2022
Generalizable Representation Learning for Mixture Domain Face Anti-Spoofing
AAAI 2021
Model-Based Domain Generalization
NIPS 2021
Test-Time Classifier Adjustment Module for Model-Agnostic Domain Generalization
NIPS 2021
Multi-Domain Multi-Task Rehearsal for Lifelong Learning
AAAI 2021
Efficient Generalization with Distributionally Robust Learning
NIPS 2021
On Compositional Generalization of Neural Machine Translation
ACL 2021
On the Efficacy of Adversarial Data Collection for Question Answering: Results from a Large-Scale Randomized Study
ACL 2021
OCHADAI-KYOTO at SemEval-2021 Task 1: Enhancing Model Generalization and Robustness for Lexical Complexity Prediction
ACL 2021
Retiring Adult: New Datasets for Fair Machine Learning
NIPS 2021
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