Domain Generalization

Flatness-Aware Minimization for Domain Generalization ICCV 2023 FoPro: Few-Shot Guided Robust Webly-Supervised Prototypical Learning AAAI 2023 Foresee What You Will Learn: Data Augmentation for Domain Generalization in Non-stationary Environment AAAI 2023 Free Lunch for Domain Adversarial Training: Environment Label Smoothing ICLR 2023 Freeze then Train: Towards Provable Representation Learning under Spurious Correlations and Feature Noise AISTATS 2023 GAIN: On the Generalization of Instructional Action Understanding ICLR 2023 GAPartNet: Cross-Category Domain-Generalizable Object Perception and Manipulation via Generalizable and Actionable Parts CVPR 2023 GEDepth: Ground Embedding for Monocular Depth Estimation ICCV 2023 GenCodeSearchNet: A Benchmark Test Suite for Evaluating Generalization in Programming Language Understanding EMNLP 2023 Generalizable Decision Boundaries: Dualistic Meta-Learning for Open Set Domain Generalization ICCV 2023 Generalized Few-Shot Point Cloud Segmentation via Geometric Words ICCV 2023 Generalized Semantic Segmentation by Self-Supervised Source Domain Projection and Multi-Level Contrastive Learning AAAI 2023 Generalized UAV Object Detection via Frequency Domain Disentanglement CVPR 2023 Generalizing Downsampling from Regular Data to Graphs AAAI 2023 Generalizing Multiple Object Tracking to Unseen Domains by Introducing Natural Language Representation AAAI 2023 GENEVA: Benchmarking Generalizability for Event Argument Extraction with Hundreds of Event Types and Argument Roles ACL 2023 GEN: Pushing the Limits of Softmax-Based Out-of-Distribution Detection CVPR 2023 GeoDE: a Geographically Diverse Evaluation Dataset for Object Recognition NeurIPS 2023 Geometry Matching for Multi-Embodiment Grasping CoRL 2023 Global-Local Regularization Via Distributional Robustness AISTATS 2023 Global Update Tracking: A Decentralized Learning Algorithm for Heterogeneous Data NeurIPS 2023 GLUE-X: Evaluating Natural Language Understanding Models from an Out-of-Distribution Generalization Perspective ACL 2023 GraphPatcher: Mitigating Degree Bias for Graph Neural Networks via Test-time Augmentation NeurIPS 2023 Group Distributionally Robust Reinforcement Learning with Hierarchical Latent Variables AISTATS 2023 Guide the Learner: Controlling Product of Experts Debiasing Method Based on Token Attribution Similarities EACL 2023