Co-occurring keywords · papers mentioning both
Papers
Invariant Causal Representation Learning for Out-of-Distribution Generalization
ICLR 2022
Investigating Ensemble Methods for Model Robustness Improvement of Text Classifiers
EMNLP 2022
Is a Modular Architecture Enough?
NeurIPS 2022
Kernel-Whitening: Overcome Dataset Bias with Isotropic Sentence Embedding
EMNLP 2022
Learning Causally Invariant Representations for Out-of-Distribution Generalization on Graphs
NeurIPS 2022
Learning Invariant Graph Representations for Out-of-Distribution Generalization
NeurIPS 2022
Learning Modular Structures That Generalize Out-of-Distribution (Student Abstract)
AAAI 2022
Learning Representations that Enable Generalization in Assistive Tasks
CoRL 2022
Learning Substructure Invariance for Out-of-Distribution Molecular Representations
NeurIPS 2022
Less Is Better: Recovering Intended-Feature Subspace to Robustify NLU Models
COLING 2022
Localized Adversarial Domain Generalization
CVPR 2022
LOG: Active Model Adaptation for Label-Efficient OOD Generalization
NeurIPS 2022
MoCoDA: Model-based Counterfactual Data Augmentation
NeurIPS 2022
Model Agnostic Sample Reweighting for Out-of-Distribution Learning
ICML 2022
Models Out of Line: A Fourier Lens on Distribution Shift Robustness
NeurIPS 2022
Multi-Instance Causal Representation Learning for Instance Label Prediction and Out-of-Distribution Generalization
NeurIPS 2022
Neural Attentive Circuits
NeurIPS 2022
Neural-Symbolic Inference for Robust Autoregressive Graph Parsing via Compositional Uncertainty Quantification
EMNLP 2022
Okapi: Generalising Better by Making Statistical Matches Match
NeurIPS 2022
On the Compositional Generalization Gap of In-Context Learning
EMNLP 2022
OoD-Bench: Quantifying and Understanding Two Dimensions of Out-of-Distribution Generalization
CVPR 2022
OoDHDR-Codec: Out-of-Distribution Generalization for HDR Image Compression
AAAI 2022
OOD Link Prediction Generalization Capabilities of Message-Passing GNNs in Larger Test Graphs
NeurIPS 2022
Out-of-Distribution Generalization With Causal Invariant Transformations
CVPR 2022
Regularization Penalty Optimization for Addressing Data Quality Variance in OoD Algorithms
AAAI 2022