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Domain Generalization

1760 directly classified papers

Papers per year

Papers

LEADS: Learning Dynamical Systems that Generalize Across Environments NIPS 2021
An Information-theoretic Approach to Distribution Shifts NIPS 2021
Encoding Robustness to Image Style via Adversarial Feature Perturbations NIPS 2021
An Empirical Investigation of Domain Generalization with Empirical Risk Minimizers NIPS 2021
Size-Invariant Graph Representations for Graph Classification Extrapolations ICML 2021
Generalisability of Topic Models in Cross-corpora Abusive Language Detection NAACL 2021
SECANT: Self-Expert Cloning for Zero-Shot Generalization of Visual Policies ICML 2021
Environment Inference for Invariant Learning ICML 2021
Automatic Data Augmentation for Generalization in Reinforcement Learning NIPS 2021
Taskography: Evaluating robot task planning over large 3D scene graphs CORL 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
Intriguing Properties of Vision Transformers NIPS 2021
Increasing Robustness to Spurious Correlations using Forgettable Examples EACL 2021
No RL, No Simulation: Learning to Navigate without Navigating NIPS 2021
On Compositional Generalization of Neural Machine Translation IJCNLP 2021
Learn to Expect the Unexpected: Probably Approximately Correct Domain Generalization AISTATS 2021
Quantifying and Improving Transferability in Domain Generalization NIPS 2021
Invariant Causal Imitation Learning for Generalizable Policies NIPS 2021
Learning a Universal Template for Few-shot Dataset Generalization ICML 2021
Connecting Sphere Manifolds Hierarchically for Regularization ICML 2021
A Study of Morphological Robustness of Neural Machine Translation ACL 2021
Spurious Correlations in Cross-Topic Argument Mining ACL 2021
Learning To Diversify for Single Domain Generalization ICCV 2021
Domain Generalization under Conditional and Label Shifts via Variational Bayesian Inference IJCAI 2021