out-of-distribution generalization

A Consciousness-Inspired Planning Agent for Model-Based Reinforcement Learning NeurIPS 2021 Adversarial Invariant Learning CVPR 2021 An MRF-UNet Product of Experts for Image Segmentation MIDL 2021 Are Transformers more robust than CNNs? NeurIPS 2021 Assessing the Generalization Capacity of Pre-trained Language Models through Japanese Adversarial Natural Language Inference EMNLP 2021 Can Subnetwork Structure Be the Key to Out-of-Distribution Generalization? ICML 2021 Causal Attention for Unbiased Visual Recognition ICCV 2021 Causal Hidden Markov Model for Time Series Disease Forecasting CVPR 2021 Characterizing Generalization under Out-Of-Distribution Shifts in Deep Metric Learning NeurIPS 2021 Composed Fine-Tuning: Freezing Pre-Trained Denoising Autoencoders for Improved Generalization ICML 2021 Debiasing Methods in Natural Language Understanding Make Bias More Accessible EMNLP 2021 DecAug: Out-of-Distribution Generalization via Decomposed Feature Representation and Semantic Augmentation AAAI 2021 Deep Stable Learning for Out-of-Distribution Generalization CVPR 2021 Demoting the Lead Bias in News Summarization via Alternating Adversarial Learning ACL 2021 Detecting Individual Decision-Making Style: Exploring Behavioral Stylometry in Chess NeurIPS 2021 Empirical or Invariant Risk Minimization? A Sample Complexity Perspective ICLR 2021 Entity-Based Knowledge Conflicts in Question Answering EMNLP 2021 Generalizing to Unseen Domains: A Survey on Domain Generalization IJCAI 2021 Generative Interventions for Causal Learning CVPR 2021 Gradient Starvation: A Learning Proclivity in Neural Networks NeurIPS 2021 Graph Convolution for Semi-Supervised Classification: Improved Linear Separability and Out-of-Distribution Generalization ICML 2021 Greedy Gradient Ensemble for Robust Visual Question Answering ICCV 2021 Heterogeneous Risk Minimization ICML 2021 HiddenCut: Simple Data Augmentation for Natural Language Understanding with Better Generalizability ACL 2021 How Do Neural Sequence Models Generalize? Local and Global Cues for Out-of-Distribution Prediction EMNLP 2021