Co-occurring keywords · papers mentioning both
Papers
Improved OOD Generalization via Adversarial Training and Pretraing
ICML 2021
Increasing Robustness to Spurious Correlations using Forgettable Examples
EACL 2021
Integrated Latent Heterogeneity and Invariance Learning in Kernel Space
NeurIPS 2021
Introspective Distillation for Robust Question Answering
NeurIPS 2021
Invariance Principle Meets Information Bottleneck for Out-of-Distribution Generalization
NeurIPS 2021
Investigating the Effect of Natural Language Explanations on Out-of-Distribution Generalization in Few-shot NLI
EMNLP 2021
IRM—when it works and when it doesn't: A test case of natural language inference
NeurIPS 2021
Learning from others' mistakes: Avoiding dataset biases without modeling them
ICLR 2021
Learning to Perturb Word Embeddings for Out-of-distribution QA
ACL 2021
Linear Regression Games: Convergence Guarantees to Approximate Out-of-Distribution Solutions
AISTATS 2021
Linguistically Routing Capsule Network for Out-of-Distribution Visual Question Answering
ICCV 2021
Memes in the Wild: Assessing the Generalizability of the Hateful Memes Challenge Dataset
ACL 2021
Meta-Learning to Compositionally Generalize
ACL 2021
Mitigation of Diachronic Bias in Fake News Detection Dataset
EMNLP 2021
NAS-OoD: Neural Architecture Search for Out-of-Distribution Generalization
ICCV 2021
Neural Sequence-to-grid Module for Learning Symbolic Rules
AAAI 2021
On Robustness and Transferability of Convolutional Neural Networks
CVPR 2021
On the Transfer of Disentangled Representations in Realistic Settings
ICLR 2021
Out-of-Distribution Generalization in Kernel Regression
NeurIPS 2021
Out-of-Distribution Generalization via Risk Extrapolation (REx)
ICML 2021
Quantifying and Improving Transferability in Domain Generalization
NeurIPS 2021
Representation Learning From Videos In-the-Wild: An Object-Centric Approach
WACV 2021
Representation Learning via Invariant Causal Mechanisms
ICLR 2021
Robust Question Answering Through Sub-part Alignment
NAACL 2021
Robust Representation Learning via Perceptual Similarity Metrics
ICML 2021