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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
Understanding the Generalization Benefit of Model Invariance from a Data Perspective
NIPS 2021
Demoting the Lead Bias in News Summarization via Alternating Adversarial Learning
ACL 2021
Domain Generalization via Gradient Surgery
ICCV 2021
Robustness via Cross-Domain Ensembles
ICCV 2021
Learning Causal Representation for Training Cross-Domain Pose Estimator via Generative Interventions
ICCV 2021
Predicting With Confidence on Unseen Distributions
ICCV 2021
Unshuffling Data for Improved Generalization in Visual Question Answering
ICCV 2021
Can vectors read minds better than experts? Comparing data augmentation strategies for the automated scoring of children’s mindreading ability
ACL 2021
Enhancing the generalization for Intent Classification and Out-of-Domain Detection in SLU
ACL 2021
Towards Context-Agnostic Learning Using Synthetic Data
NIPS 2021
Adaptive Risk Minimization: Learning to Adapt to Domain Shift
NIPS 2021
Designing a Practical Degradation Model for Deep Blind Image Super-Resolution
ICCV 2021
OntoGUM: Evaluating Contextualized SOTA Coreference Resolution on 12 More Genres
ACL 2021
CrossVQA: Scalably Generating Benchmarks for Systematically Testing VQA Generalization
EMNLP 2021
Generalized Dilated CNN Models for Depression Detection Using Inverted Vocal Tract Variables
INTERSPEECH 2021
SpeakerStew: Scaling to Many Languages with a Triaged Multilingual Text-Dependent and Text-Independent Speaker Verification System
INTERSPEECH 2021
Learning to Perturb Word Embeddings for Out-of-distribution QA
ACL 2021
Memes in the Wild: Assessing the Generalizability of the Hateful Memes Challenge Dataset
ACL 2021
Two Sides of Meta-Learning Evaluation: In vs. Out of Distribution
NIPS 2021
Invariance Principle Meets Information Bottleneck for Out-of-Distribution Generalization
NIPS 2021
Towards Improving Adversarial Training of NLP Models
EMNLP 2021
Confidence Calibration for Domain Generalization Under Covariate Shift
ICCV 2021
Improving Robustness Against Common Corruptions With Frequency Biased Models
ICCV 2021
Lips Don't Lie: A Generalisable and Robust Approach To Face Forgery Detection
CVPR 2021
Causal Attention for Vision-Language Tasks
CVPR 2021
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