Domain Generalization

The idea of Domain Generalization is to learn from one or multiple training domains, to extract a domain-agnostic model which can be applied to an unseen domain

Source: Diagram Image Retrieval using Sketch-Based Deep Learning and Transfer Learning

Papers

Recently Added Most Hyped Most Active Needs Verification Most Verified

Showing 1651–1675 of 1751 papers

Title	Date	Tasks	Status	Hype
Distributionally Robust Neural Networks for Group Shifts: On the Importance of Regularization for Worst-Case Generalization	Nov 20, 2019	Domain GeneralizationNatural Language Inference	CodeCode Available	1
Domain Generalization Using a Mixture of Multiple Latent Domains	Nov 18, 2019	ClusteringDomain Generalization	CodeCode Available	0
Generalizing to unseen domains via distribution matching	Nov 3, 2019	Domain GeneralizationLEMMA	CodeCode Available	0
Domain Generalization via Model-Agnostic Learning of Semantic Features	Oct 29, 2019	Domain GeneralizationGeneral Knowledge	CodeCode Available	0
Current Limitations in Cyberbullying Detection: on Evaluation Criteria, Reproducibility, and Data Scarcity	Oct 25, 2019	Domain Generalization	CodeCode Available	0
Reducing Domain Gap by Reducing Style Bias	Oct 25, 2019	Domain AdaptationDomain Generalization	CodeCode Available	0
Domain-agnostic Question-Answering with Adversarial Training	Oct 21, 2019	Domain GeneralizationQuestion Answering	CodeCode Available	0
Improve Model Generalization and Robustness to Dataset Bias with Bias-regularized Learning and Domain-guided Augmentation	Oct 12, 2019	Domain Generalization	—Unverified	0
A Theory of Relation Learning and Cross-domain Generalization	Oct 11, 2019	BIG-bench Machine LearningDomain Generalization	—Unverified	0
Learning to Generalize One Sample at a Time with Self-Supervision	Oct 9, 2019	Auxiliary LearningDomain Adaptation	—Unverified	0
Adapting a FrameNet Semantic Parser for Spoken Language Understanding Using Adversarial Learning	Oct 7, 2019	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified	0
Attention Bridging Network for Knowledge Transfer	Oct 1, 2019	Domain AdaptationDomain Generalization	—Unverified	0
Robust Semantic Parsing with Adversarial Learning for Domain Generalization	Oct 1, 2019	domain classificationDomain Generalization	—Unverified	0
RandAugment: Practical automated data augmentation with a reduced search space	Sep 30, 2019	Data AugmentationDomain Generalization	CodeCode Available	2
Stablizing Adversarial Invariance Induction by Discriminator Matching	Sep 25, 2019	AttributeDomain Generalization	—Unverified	0
EEG-Based Driver Drowsiness Estimation Using Feature Weighted Episodic Training	Sep 25, 2019	Domain GeneralizationEEG	—Unverified	0
Towards Shape Biased Unsupervised Representation Learning for Domain Generalization	Sep 18, 2019	Domain GeneralizationRepresentation Learning	—Unverified	0
Domain Randomization and Pyramid Consistency: Simulation-to-Real Generalization without Accessing Target Domain Data	Sep 2, 2019	Domain AdaptationDomain Generalization	—Unverified	0
Domain Generalization via Multidomain Discriminant Analysis	Jul 25, 2019	Domain GeneralizationLearning Theory	—Unverified	0
Universal Person Re-Identification	Jul 22, 2019	Domain AdaptationDomain Generalization	—Unverified	0
Natural Adversarial Examples	Jul 16, 2019	Adversarial AttackData Augmentation	CodeCode Available	1
Cross-Domain Generalization of Neural Constituency Parsers	Jul 9, 2019	Constituency ParsingDomain Generalization	CodeCode Available	0
Learning to Optimize Domain Specific Normalization for Domain Generalization	Jul 9, 2019	Domain AdaptationDomain Generalization	—Unverified	0
Improving Cross-Domain Performance for Relation Extraction via Dependency Prediction and Information Flow Control	Jul 7, 2019	Domain GeneralizationRelation	—Unverified	0
Invariant Risk Minimization	Jul 5, 2019	Domain GeneralizationImage Classification	CodeCode Available	1

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All datasets PACS VizWiz-Classification ImageNet-C Office-Home ImageNet-A ImageNet-R DomainNet VLCS TerraIncognita GTA-to-Avg(Cityscapes,BDD,Mapillary)ImageNet-Sketch GTA5 to Cityscapes

Benchmark Results

#	Model	Metric	Claimed	Verified	Status
1	SIMPLE+	Average Accuracy	99	—	Unverified
2	PromptStyler (CLIP, ViT-L/14)	Average Accuracy	98.6	—	Unverified
3	GMDG (RegNetY-16GF, SWAD)	Average Accuracy	97.9	—	Unverified
4	D-Triplet(RegNetY-16GF)	Average Accuracy	97.6	—	Unverified
5	MoA (OpenCLIP, ViT-B/16)	Average Accuracy	97.4	—	Unverified
6	GMDG (e RegNetY-16GF)	Average Accuracy	97.3	—	Unverified
7	PromptStyler (CLIP, ViT-B/16)	Average Accuracy	97.2	—	Unverified
8	SPG (CLIP, ViT-B/16)	Average Accuracy	97	—	Unverified
9	CAR-FT (CLIP, ViT-B/16)	Average Accuracy	96.8	—	Unverified
10	MIRO (RegNetY-16GF, SWAD)	Average Accuracy	96.8	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	ViT-8/B-224	Accuracy - Clean Images	450	—	Unverified
2	VOLO-D5	Accuracy - All Images	57.2	—	Unverified
3	ConvNeXt-B	Accuracy - All Images	53.5	—	Unverified
4	ResNeXt-101 32x16d	Accuracy - All Images	51.7	—	Unverified
5	EfficientNet-B8 (advprop+autoaug)	Accuracy - All Images	50.5	—	Unverified
6	EfficientNet-B7 (advprop+autoaug)	Accuracy - All Images	49.7	—	Unverified
7	EfficientNet-B6 (advprop+autoaug)	Accuracy - All Images	49.6	—	Unverified
8	EfficientNet-B5 (advprop+autoaug)	Accuracy - All Images	49.1	—	Unverified
9	ViT-16/L-224	Accuracy - All Images	49	—	Unverified
10	ResNet-50 (gn)	Accuracy - All Images	48.9	—	Unverified