Domain Adaptation
9,897 papers
Papers per year
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12
9
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16
46
33
47
127
208
395
637
757
982
1,022
1,313
1,824
1,944
469
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Papers
On the Efficacy and Noise-Robustness of Jointly Learned Speech Emotion and Automatic Speech Recognition
Interspeech 2023
On-the-Fly Feature Based Rapid Speaker Adaptation for Dysarthric and Elderly Speech Recognition
Interspeech 2023
On-the-Fly Test-time Adaptation for Medical Image Segmentation
MIDL 2023
On the Need for a Language Describing Distribution Shifts: Illustrations on Tabular Datasets
NeurIPS 2023
On the Risk of Misinformation Pollution with Large Language Models
EMNLP 2023
On the Robustness of Open-World Test-Time Training: Self-Training with Dynamic Prototype Expansion
ICCV 2023
On the Role of Reviewer Expertise in Temporal Review Helpfulness Prediction
EACL 2023
Ontology-aware Learning and Evaluation for Audio Tagging
Interspeech 2023
On using distribution-based compositionality assessment to evaluate compositional generalisation in machine translation
EMNLP 2023
Open Compound Domain Adaptation with Object Style Compensation for Semantic Segmentation
NeurIPS 2023
Open-Ended Diverse Solution Discovery with Regulated Behavior Patterns for Cross-Domain Adaptation
AAAI 2023
OpenMapFlow: A Library for Rapid Map Creation with Machine Learning and Remote Sensing Data
AAAI 2023
OpenOccupancy: A Large Scale Benchmark for Surrounding Semantic Occupancy Perception
ICCV 2023
Optimal Transport for Treatment Effect Estimation
NeurIPS 2023
Optimize Planning Heuristics to Rank, not to Estimate Cost-to-Goal
NeurIPS 2023
Optimizing the Size of Subword Vocabularies in Dialect Classification
EACL 2023
Order-preserving Consistency Regularization for Domain Adaptation and Generalization
ICCV 2023
ORGAN: Observation-Guided Radiology Report Generation via Tree Reasoning
ACL 2023
OSAN: A One-Stage Alignment Network To Unify Multimodal Alignment and Unsupervised Domain Adaptation
CVPR 2023
OutfitTransformer: Learning Outfit Representations for Fashion Recommendation
WACV 2023
Out-of-distribution Detection Learning with Unreliable Out-of-distribution Sources
NeurIPS 2023
Out-of-Distribution Detection via Frequency-Regularized Generative Models
WACV 2023
Out-of-distribution Detection with Implicit Outlier Transformation
ICLR 2023
Out-of-Domain Robustness via Targeted Augmentations
ICML 2023
Overcoming Concept Shift in Domain-Aware Settings through Consolidated Internal Distributions
AAAI 2023