Domain Generalization

Multi-view Modelling of Longitudinal Health Data for Improved Prognostication of Colorectal Cancer Recurrence MLHC 2023 MultiZoo and MultiBench: A Standardized Toolkit for Multimodal Deep Learning JMLR 2023 NeRFool: Uncovering the Vulnerability of Generalizable Neural Radiance Fields against Adversarial Perturbations ICML 2023 Networks are Slacking Off: Understanding Generalization Problem in Image Deraining NeurIPS 2023 Neural Algorithmic Reasoning with Causal Regularisation ICML 2023 Neural Image Compression: Generalization, Robustness, and Spectral Biases NeurIPS 2023 Neural Multi-Objective Combinatorial Optimization with Diversity Enhancement NeurIPS 2023 Neuron Structure Modeling for Generalizable Remote Physiological Measurement CVPR 2023 NICO++: Towards Better Benchmarking for Domain Generalization CVPR 2023 Offline Q-learning on Diverse Multi-Task Data Both Scales And Generalizes ICLR 2023 Offline RL with Discrete Proxy Representations for Generalizability in POMDPs NeurIPS 2023 On Optimizing Model Generality in AI-based Disaster Damage Assessment: A Subjective Logic-driven Crowd-AI Hybrid Learning Approach IJCAI 2023 On the Adversarial Robustness of Out-of-distribution Generalization Models NeurIPS 2023 On the Connection between Invariant Learning and Adversarial Training for Out-of-Distribution Generalization AAAI 2023 On the Connection between Pre-training Data Diversity and Fine-tuning Robustness NeurIPS 2023 On the Importance of Feature Separability in Predicting Out-Of-Distribution Error NeurIPS 2023 On the Need for a Language Describing Distribution Shifts: Illustrations on Tabular Datasets NeurIPS 2023 On the Robustness of Arabic Speech Dialect Identification Interspeech 2023 On the robustness of wav2vec 2.0 based speaker recognition systems Interspeech 2023 Open-Ended Diverse Solution Discovery with Regulated Behavior Patterns for Cross-Domain Adaptation AAAI 2023 OpenGSL: A Comprehensive Benchmark for Graph Structure Learning NeurIPS 2023 Optimal Parameter and Neuron Pruning for Out-of-Distribution Detection NeurIPS 2023 Order-preserving Consistency Regularization for Domain Adaptation and Generalization ICCV 2023 Out-of-Distribution Detection for Monocular Depth Estimation ICCV 2023 Out-of-Distribution Generalization by Neural-Symbolic Joint Training AAAI 2023