← Keywords

domain adaptation

4578 papers

Explore in graph

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

Just Add $100 More: Augmenting Pseudo-LiDAR Point Cloud for Resolving Class-imbalance Problem NIPS 2024
Large Pre-trained time series models for cross-domain Time series analysis tasks NIPS 2024
Adaptive Parametric Prototype Learning for Cross-Domain Few-Shot Classification AISTATS 2024
CAD-DA: Controllable Anomaly Detection after Domain Adaptation by Statistical Inference AISTATS 2024
Derandomizing Multi-Distribution Learning NIPS 2024
Unsupervised Modality Adaptation with Text-to-Image Diffusion Models for Semantic Segmentation NIPS 2024
LiT: Unifying LiDAR "Languages" with LiDAR Translator NIPS 2024
Proxy Methods for Domain Adaptation AISTATS 2024
D-CPT Law: Domain-specific Continual Pre-Training Scaling Law for Large Language Models NIPS 2024
Revisiting, Benchmarking and Understanding Unsupervised Graph Domain Adaptation NIPS 2024
Once Read is Enough: Domain-specific Pretraining-free Language Models with Cluster-guided Sparse Experts for Long-tail Domain Knowledge NIPS 2024
Style Adaptation and Uncertainty Estimation for Multi-Source Blended-Target Domain Adaptation NIPS 2024
UDON: Universal Dynamic Online distillatioN for generic image representations NIPS 2024
Semantic Feature Learning for Universal Unsupervised Cross-Domain Retrieval NIPS 2024
One-to-Normal: Anomaly Personalization for Few-shot Anomaly Detection NIPS 2024
Samba: Severity-aware Recurrent Modeling for Cross-domain Medical Image Grading NIPS 2024
Time-Varying LoRA: Towards Effective Cross-Domain Fine-Tuning of Diffusion Models NIPS 2024
Multi-Agent Domain Calibration with a Handful of Offline Data NIPS 2024
Dual Risk Minimization: Towards Next-Level Robustness in Fine-tuning Zero-Shot Models NIPS 2024
DoDo Learning: Domain-Demographic Transfer in Language Models for Detecting Abuse Targeted at Public Figures COLING 2024
A Language Model Trained on Uruguayan Spanish News Text COLING 2024
Repurposing Holocaust-Related Digital Scholarly Editions to Develop Multilingual Domain-Specific Named Entity Recognition Tools COLING 2024
Knowledge-enhanced Response Generation in Dialogue Systems: Current Advancements and Emerging Horizons COLING 2024
Towards Robust In-Context Learning for Machine Translation with Large Language Models COLING 2024
Towards Equitable Natural Language Understanding Systems for Dialectal Cohorts: Debiasing Training Data COLING 2024