out-of-distribution generalization

Towards Distribution-shift Robust Text Classification of Emotional Content ACL 2023 Towards Stable Natural Language Understanding via Information Entropy Guided Debiasing ACL 2023 TraVLR: Now You See It, Now You Don’t! A Bimodal Dataset for Evaluating Visio-Linguistic Reasoning EACL 2023 UM6P at SemEval-2023 Task 12: Out-Of-Distribution Generalization Method for African Languages Sentiment Analysis SemEval 2023 Understanding and Improving Feature Learning for Out-of-Distribution Generalization NeurIPS 2023 Understanding Hessian Alignment for Domain Generalization ICCV 2023 What Is Missing in IRM Training and Evaluation? Challenges and Solutions ICLR 2023 When Data Geometry Meets Deep Function: Generalizing Offline Reinforcement Learning ICLR 2023 XMD: An End-to-End Framework for Interactive Explanation-Based Debugging of NLP Models ACL 2023 A Closer Look at Embedding Propagation for Manifold Smoothing JMLR 2022 A composable machine-learning approach for steady-state simulations on high-resolution grids NeurIPS 2022 Agreement-on-the-line: Predicting the Performance of Neural Networks under Distribution Shift NeurIPS 2022 Amodal Segmentation Through Out-of-Task and Out-of-Distribution Generalization With a Bayesian Model CVPR 2022 An Investigation of the (In)effectiveness of Counterfactually Augmented Data ACL 2022 An Online Learning Approach to Interpolation and Extrapolation in Domain Generalization AISTATS 2022 A Rationale-Centric Framework for Human-in-the-loop Machine Learning ACL 2022 Assaying Out-Of-Distribution Generalization in Transfer Learning NeurIPS 2022 Astock: A New Dataset and Automated Stock Trading based on Stock-specific News Analyzing Model EMNLP 2022 A Theoretical Analysis on Independence-driven Importance Weighting for Covariate-shift Generalization ICML 2022 A Win-win Deal: Towards Sparse and Robust Pre-trained Language Models NeurIPS 2022 Calibrated ensembles can mitigate accuracy tradeoffs under distribution shift UAI 2022 Case-based reasoning for better generalization in textual reinforcement learning ICLR 2022 Causality Inspired Representation Learning for Domain Generalization CVPR 2022 Causal Transportability for Visual Recognition CVPR 2022 Composing Partial Differential Equations with Physics-Aware Neural Networks ICML 2022