Domain Generalization

An Empirical Study on Explanations in Out-of-Domain Settings ACL 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 AnoShift: A Distribution Shift Benchmark for Unsupervised Anomaly Detection NeurIPS 2022 APEACH: Attacking Pejorative Expressions with Analysis on Crowd-Generated Hate Speech Evaluation Datasets EMNLP 2022 A Rationale-Centric Framework for Human-in-the-loop Machine Learning ACL 2022 Assaying Out-Of-Distribution Generalization in Transfer Learning NeurIPS 2022 Assessing Combinational Generalization of Language Models in Biased Scenarios AACL 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 Attack Agnostic Dataset: Towards Generalization and Stabilization of Audio DeepFake Detection Interspeech 2022 Attention Guided Deep Supervision Model for Prostate Segmentation in Multisite Heterogeneous MRI Data MIDL 2022 Augmentation-Free Self-Supervised Learning on Graphs AAAI 2022 A Win-win Deal: Towards Sparse and Robust Pre-trained Language Models NeurIPS 2022 Balancing Discriminability and Transferability for Source-Free Domain Adaptation ICML 2022 BatchFormer: Learning To Explore Sample Relationships for Robust Representation Learning CVPR 2022 Benchmarking and Analyzing Point Cloud Classification under Corruptions ICML 2022 Benchmarking the Covariate Shift Robustness of Open-world Intent Classification Approaches AACL 2022 Beyond ImageNet Attack: Towards Crafting Adversarial Examples for Black-box Domains ICLR 2022 Beyond Static models and test sets: Benchmarking the potential of pre-trained models across tasks and languages ACL 2022 BiHPF: Bilateral High-Pass Filters for Robust Deepfake Detection WACV 2022 BoosterNet: Improving Domain Generalization of Deep Neural Nets Using Culpability-Ranked Features CVPR 2022 Boosting Out-of-distribution Detection with Typical Features NeurIPS 2022 Breaking Down Out-of-Distribution Detection: Many Methods Based on OOD Training Data Estimate a Combination of the Same Core Quantities ICML 2022 Can Data Diversity Enhance Learning Generalization? COLING 2022