← Application Areas
Machine Learning › Application Areas ›

Domain Generalization

1760 directly classified papers

Papers per year

Papers

Semi-Supervised Domain Generalization with Known and Unknown Classes NIPS 2023
Reliable learning in challenging environments NIPS 2023
On the Need for a Language Describing Distribution Shifts: Illustrations on Tabular Datasets NIPS 2023
Benchmarking Distribution Shift in Tabular Data with TableShift NIPS 2023
Diversifying Spatial-Temporal Perception for Video Domain Generalization NIPS 2023
Mitigating the Effect of Incidental Correlations on Part-based Learning NIPS 2023
Evaluating Robustness and Uncertainty of Graph Models Under Structural Distributional Shifts NIPS 2023
OpenGSL: A Comprehensive Benchmark for Graph Structure Learning NIPS 2023
Unleashing the Power of Graph Data Augmentation on Covariate Distribution Shift NIPS 2023
Beyond Deep Ensembles: A Large-Scale Evaluation of Bayesian Deep Learning under Distribution Shift NIPS 2023
Demystifying Structural Disparity in Graph Neural Networks: Can One Size Fit All? NIPS 2023
Learning Invariant Representations of Graph Neural Networks via Cluster Generalization NIPS 2023
Environment-Aware Dynamic Graph Learning for Out-of-Distribution Generalization NIPS 2023
GraphPatcher: Mitigating Degree Bias for Graph Neural Networks via Test-time Augmentation NIPS 2023
MADG: Margin-based Adversarial Learning for Domain Generalization NIPS 2023
Understanding and Improving Feature Learning for Out-of-Distribution Generalization NIPS 2023
Learning Invariant Molecular Representation in Latent Discrete Space NIPS 2023
Neural Multi-Objective Combinatorial Optimization with Diversity Enhancement NIPS 2023
Learning Generalizable Agents via Saliency-guided Features Decorrelation NIPS 2023
Ensemble-based Deep Reinforcement Learning for Vehicle Routing Problems under Distribution Shift NIPS 2023
Offline RL with Discrete Proxy Representations for Generalizability in POMDPs NIPS 2023
StableFDG: Style and Attention Based Learning for Federated Domain Generalization NIPS 2023
Effective Robustness against Natural Distribution Shifts for Models with Different Training Data NIPS 2023
Towards Generic Semi-Supervised Framework for Volumetric Medical Image Segmentation NIPS 2023
RoboDepth: Robust Out-of-Distribution Depth Estimation under Corruptions NIPS 2023