domain generalization

1517 papers

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Also known as

DGSS DG SDG

Co-occurring keywords

domain adaptation (4578) transfer learning (5442) distribution shift (711) representation learning (6174) out-of-distribution generalization (403) data augmentation (3037) semantic segmentation (3179) zero-shot learning (3637) vision-language model (2235) few-shot learning (3390)

Papers

Information Transfer in Multitask Learning, Data Augmentation, and Beyond AAAI 2023

Generalizing Multiple Object Tracking to Unseen Domains by Introducing Natural Language Representation AAAI 2023

APoLLo : Unified Adapter and Prompt Learning for Vision Language Models EMNLP 2023

ScaleDet: A Scalable Multi-Dataset Object Detector CVPR 2023

DyCVAE: Learning Dynamic Causal Factors for Non-stationary Series Domain Generalization (Student Abstract) AAAI 2023

Omni3D: A Large Benchmark and Model for 3D Object Detection in the Wild CVPR 2023

MaPLe: Multi-Modal Prompt Learning CVPR 2023

Robust Weight Signatures: Gaining Robustness as Easy as Patching Weights? ICML 2023

Progressive Random Convolutions for Single Domain Generalization CVPR 2023

Improving Generalization Ability of Countermeasures for New Mismatch Scenario by Combining Multiple Advanced Regularization Terms INTERSPEECH 2023

Deep RL at Scale: Sorting Waste in Office Buildings with a Fleet of Mobile Manipulators RSS 2023

COCO-O: A Benchmark for Object Detectors under Natural Distribution Shifts ICCV 2023

Wasserstein Barycenter Matching for Graph Size Generalization of Message Passing Neural Networks ICML 2023

Variational Classifier for Unsupervised Anomalous Sound Detection under Domain Generalization INTERSPEECH 2023

Feed Two Birds with One Scone: Exploiting Wild Data for Both Out-of-Distribution Generalization and Detection ICML 2023

BEV-DG: Cross-Modal Learning under Bird's-Eye View for Domain Generalization of 3D Semantic Segmentation ICCV 2023

Spectral Invariant Learning for Dynamic Graphs under Distribution Shifts NIPS 2023

G-Tuning: Improving Generalization of Pre-trained Language Models with Generative Adversarial Network ACL 2023

Cross-Platform and Cross-Domain Abusive Language Detection with Supervised Contrastive Learning ACL 2023

VNE: An Effective Method for Improving Deep Representation by Manipulating Eigenvalue Distribution CVPR 2023

BiasAdv: Bias-Adversarial Augmentation for Model Debiasing CVPR 2023

Bi-Level Meta-Learning for Few-Shot Domain Generalization CVPR 2023

Exploring Why Object Recognition Performance Degrades Across Income Levels and Geographies with Factor Annotations NIPS 2023

Battle of the Backbones: A Large-Scale Comparison of Pretrained Models across Computer Vision Tasks NIPS 2023

DatasetDM: Synthesizing Data with Perception Annotations Using Diffusion Models NIPS 2023