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Machine Learning
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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
Geometric and Textural Augmentation for Domain Gap Reduction
CVPR 2022
Causal Transportability for Visual Recognition
CVPR 2022
Learning to Weight Filter Groups for Robust Classification
WACV 2022
Delving Deep Into the Generalization of Vision Transformers Under Distribution Shifts
CVPR 2022
BiHPF: Bilateral High-Pass Filters for Robust Deepfake Detection
WACV 2022
Fair and Accurate Age Prediction Using Distribution Aware Data Curation and Augmentation
WACV 2022
Test-time Fourier Style Calibration for Domain Generalization
IJCAI 2022
3D Common Corruptions and Data Augmentation
CVPR 2022
Detecting Out-Of-Context Objects Using Graph Contextual Reasoning Network
IJCAI 2022
Network Generalization Prediction for Safety Critical Tasks in Novel Operating Domains
WACV 2022
Forecasting the Number of Tenants At-Risk of Formal Eviction: A Machine Learning Approach to Inform Public Policy
IJCAI 2022
Dual Contrastive Learning for General Face Forgery Detection
AAAI 2022
Dynamic Domain Generalization
IJCAI 2022
Improving the Generalizability of Depression Detection by Leveraging Clinical Questionnaires
ACL 2022
Generalized but not Robust? Comparing the Effects of Data Modification Methods on Out-of-Domain Generalization and Adversarial Robustness
ACL 2022
Sparse Invariant Risk Minimization
ICML 2022
Features or Spurious Artifacts? Data-centric Baselines for Fair and Robust Hate Speech Detection
NAACL 2022
A Theoretical Analysis on Independence-driven Importance Weighting for Covariate-shift Generalization
ICML 2022
Certifying Out-of-Domain Generalization for Blackbox Functions
ICML 2022
Detecting Dissonant Stance in Social Media: The Role of Topic Exposure
EMNLP 2022
SQUIRE: A Sequence-to-sequence Framework for Multi-hop Knowledge Graph Reasoning
EMNLP 2022
Few-Shot (Dis)Agreement Identification in Online Discussions with Regularized and Augmented Meta-Learning
EMNLP 2022
Leveraging Test-Time Consensus Prediction for Robustness Against Unseen Noise
WACV 2022
Syntactically Robust Training on Partially-Observed Data for Open Information Extraction
EMNLP 2022
Exploring The Landscape of Distributional Robustness for Question Answering Models
EMNLP 2022
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