Co-occurring keywords · papers mentioning both
Papers
Separating Skills and Concepts for Novel Visual Question Answering
CVPR 2021
Siamese Network with wav2vec Feature for Spoofing Speech Detection
Interspeech 2021
Size-Invariant Graph Representations for Graph Classification Extrapolations
ICML 2021
SMART: A Situation Model for Algebra Story Problems via Attributed Grammar
AAAI 2021
The Many Faces of Robustness: A Critical Analysis of Out-of-Distribution Generalization
ICCV 2021
The Risks of Invariant Risk Minimization
ICLR 2021
Towards a Theoretical Framework of Out-of-Distribution Generalization
NeurIPS 2021
Towards Interpreting and Mitigating Shortcut Learning Behavior of NLU models
NAACL 2021
Towards robust vision by multi-task learning on monkey visual cortex
NeurIPS 2021
Uncertainty-Guided Model Generalization to Unseen Domains
CVPR 2021
Understanding the failure modes of out-of-distribution generalization
ICLR 2021
Unshuffling Data for Improved Generalization in Visual Question Answering
ICCV 2021
What Will it Take to Fix Benchmarking in Natural Language Understanding?
NAACL 2021
Dataset Cartography: Mapping and Diagnosing Datasets with Training Dynamics
EMNLP 2020
Generative Data Augmentation for Commonsense Reasoning
EMNLP 2020
Improving Compositional Generalization in Semantic Parsing
EMNLP 2020
Improving robustness against common corruptions by covariate shift adaptation
NeurIPS 2020
Joint Training with Semantic Role Labeling for Better Generalization in Natural Language Inference
ACL 2020
Learning to Contrast the Counterfactual Samples for Robust Visual Question Answering
EMNLP 2020
Learning to Learn Single Domain Generalization
CVPR 2020
Linguistically-Informed Transformations (LIT): A Method for Automatically Generating Contrast Sets
EMNLP 2020
MUTANT: A Training Paradigm for Out-of-Distribution Generalization in Visual Question Answering
EMNLP 2020
Neural Unsupervised Domain Adaptation in NLP—A Survey
COLING 2020
Open Graph Benchmark: Datasets for Machine Learning on Graphs
NeurIPS 2020
Synbols: Probing Learning Algorithms with Synthetic Datasets
NeurIPS 2020