domain generalization

Incorporating Symmetry into Deep Dynamics Models for Improved Generalization ICLR 2021 In Search of Lost Domain Generalization ICLR 2021 Integrated Latent Heterogeneity and Invariance Learning in Kernel Space NeurIPS 2021 Invariance Principle Meets Information Bottleneck for Out-of-Distribution Generalization NeurIPS 2021 Invariant Causal Imitation Learning for Generalizable Policies NeurIPS 2021 Invariant Policy Optimization: Towards Stronger Generalization in Reinforcement Learning L4DC 2021 IRM—when it works and when it doesn't: A test case of natural language inference NeurIPS 2021 LEADS: Learning Dynamical Systems that Generalize Across Environments NeurIPS 2021 Learning a Universal Template for Few-shot Dataset Generalization ICML 2021 Learning Causal Representation for Training Cross-Domain Pose Estimator via Generative Interventions ICCV 2021 Learning Domain Invariant Representations in Goal-conditioned Block MDPs NeurIPS 2021 Learning Optical Flow From Still Images CVPR 2021 Learning to Attack Real-World Models for Person Re-identification via Virtual-Guided Meta-Learning AAAI 2021 Learning to Generalize Unseen Domains via Memory-based Multi-Source Meta-Learning for Person Re-Identification CVPR 2021 Learning to Perturb Word Embeddings for Out-of-distribution QA ACL 2021 Learning Universal Authorship Representations EMNLP 2021 Learn to Expect the Unexpected: Probably Approximately Correct Domain Generalization AISTATS 2021 Lifelong Person Re-Identification via Adaptive Knowledge Accumulation CVPR 2021 Linear Regression Games: Convergence Guarantees to Approximate Out-of-Distribution Solutions AISTATS 2021 Lips Don't Lie: A Generalisable and Robust Approach To Face Forgery Detection CVPR 2021 MASKER: Masked Keyword Regularization for Reliable Text Classification AAAI 2021 Memes in the Wild: Assessing the Generalizability of the Hateful Memes Challenge Dataset ACL 2021 Meta Batch-Instance Normalization for Generalizable Person Re-Identification CVPR 2021 MetaCorrection: Domain-Aware Meta Loss Correction for Unsupervised Domain Adaptation in Semantic Segmentation CVPR 2021 MetaNorm: Learning to Normalize Few-Shot Batches Across Domains ICLR 2021