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domain generalization

1517 papers

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Also known as

DGSS DG SDG

Co-occurring keywords

domain adaptation (4578) transfer learning (5442) distribution shift (711) representation learning (6174) out-of-distribution generalization (403) data augmentation (3037) semantic segmentation (3179) zero-shot learning (3637) vision-language model (2235) few-shot learning (3390)

Papers

An Empirical Investigation of Domain Generalization with Empirical Risk Minimizers NIPS 2021
Automatic Data Augmentation for Generalization in Reinforcement Learning NIPS 2021
Towards robust vision by multi-task learning on monkey visual cortex NIPS 2021
On Interaction Between Augmentations and Corruptions in Natural Corruption Robustness NIPS 2021
Gradual Domain Adaptation without Indexed Intermediate Domains NIPS 2021
Understanding the Limits of Unsupervised Domain Adaptation via Data Poisoning NIPS 2021
On Learning Domain-Invariant Representations for Transfer Learning with Multiple Sources NIPS 2021
Counterfactual Invariance to Spurious Correlations in Text Classification NIPS 2021
Quantifying and Improving Transferability in Domain Generalization NIPS 2021
Invariant Causal Imitation Learning for Generalizable Policies NIPS 2021
Automated Cross-prompt Scoring of Essay Traits AAAI 2021
Stable Adversarial Learning under Distributional Shifts AAAI 2021
Robustness to Spurious Correlations in Text Classification via Automatically Generated Counterfactuals AAAI 2021
Domain Generalisation with Domain Augmented Supervised Contrastive Learning (Student Abstract) AAAI 2021
Spurious Correlations in Cross-Topic Argument Mining ACL 2021
OntoGUM: Evaluating Contextualized SOTA Coreference Resolution on 12 More Genres ACL 2021
Lifelong Person Re-Identification via Adaptive Knowledge Accumulation CVPR 2021
Zero-Shot Dialogue State Tracking via Cross-Task Transfer EMNLP 2021
On Classifying whether Two Texts are on the Same Side of an Argument EMNLP 2021
Learning Domain Invariant Representations in Goal-conditioned Block MDPs NIPS 2021
Robust Contrastive Learning Using Negative Samples with Diminished Semantics NIPS 2021
Rectifying the Shortcut Learning of Background for Few-Shot Learning NIPS 2021
PartialFed: Cross-Domain Personalized Federated Learning via Partial Initialization NIPS 2021
Counterfactual Maximum Likelihood Estimation for Training Deep Networks NIPS 2021
Learning to Perturb Word Embeddings for Out-of-distribution QA ACL 2021