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domain adaptation
4578 papers
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Also known as
DANN
UNIDA
UDA
DA
DAPT
Co-occurring keywords
transfer learning
(5442)
unsupervised learning
(3255)
large language model
(12755)
semantic segmentation
(3179)
domain generalization
(1517)
representation learning
(6174)
neural machine translation
(2310)
adversarial learning
(1592)
text classification
(6776)
knowledge distillation
(3680)
Papers
FabKG: A Knowledge graph of Manufacturing Science domain utilizing structured and unconventional unstructured knowledge source
NAACL 2022
Cross-domain Analysis on Japanese Legal Pretrained Language Models
AACL 2022
AugCSE: Contrastive Sentence Embedding with Diverse Augmentations
AACL 2022
Re-contextualizing Fairness in NLP: The Case of India
AACL 2022
PIEKM: ML-based Procedural Information Extraction and Knowledge Management System for Materials Science Literature
AACL 2022
Transferring Knowledge via Neighborhood-Aware Optimal Transport for Low-Resource Hate Speech Detection
AACL 2022
CALI: Coarse-to-Fine ALIgnments Based Unsupervised Domain Adaptation of Traversability Prediction for Deployable Autonomous Navigation
RSS 2022
The Unsurprising Effectiveness of Pre-Trained Vision Models for Control
ICML 2022
Understanding Simultaneous Train and Test Robustness
ALT 2022
Sim-to-Real via Sim-to-Seg: End-to-end Off-road Autonomous Driving Without Real Data
CORL 2022
Learning Robust Real-World Dexterous Grasping Policies via Implicit Shape Augmentation
CORL 2022
Motion Style Transfer: Modular Low-Rank Adaptation for Deep Motion Forecasting
CORL 2022
Few-shot Image Generation via Adaptation-Aware Kernel Modulation
NIPS 2022
PAC-Bayesian domain adaptation bounds for multiclass learners
UAI 2022
Toward learning human-aligned cross-domain robust models by countering misaligned features
UAI 2022
Domain Alignment Meets Fully Test-Time Adaptation
ACML 2022
Unsupervised Photo-to-Caricature Generation with Adaptive Select Layer-Instance Normalization and Semi-cycle Consistency
ACML 2022
Physically-Based Face Rendering for NIR-VIS Face Recognition
NIPS 2022
ORIENT: Submodular Mutual Information Measures for Data Subset Selection under Distribution Shift
NIPS 2022
The Power and Limitation of Pretraining-Finetuning for Linear Regression under Covariate Shift
NIPS 2022
Learning Concept Credible Models for Mitigating Shortcuts
NIPS 2022
SelecMix: Debiased Learning by Contradicting-pair Sampling
NIPS 2022
Bridge the Gap Between Architecture Spaces via A Cross-Domain Predictor
NIPS 2022
Learning Substructure Invariance for Out-of-Distribution Molecular Representations
NIPS 2022
Generalization Bounds for Estimating Causal Effects of Continuous Treatments
NIPS 2022
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