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domain adaptation

4595 papers

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DA

Co-occurring keywords

transfer learning (5449) unsupervised learning (3264) large language model (13587) semantic segmentation (3186) domain generalization (1522) representation learning (6206) neural machine translation (2310) adversarial learning (1595) text classification (6793) knowledge distillation (3725)

Papers

Towards Reliable Learning in the Wild: Generalization and Adaptation AAAI 2024
Strong Baselines for Parameter-Efficient Few-Shot Fine-Tuning AAAI 2024
Gradual Source Domain Expansion for Unsupervised Domain Adaptation WACV 2024
Clear Up Confusion: Advancing Cross-Domain Few-Shot Relation Extraction through Relation-Aware Prompt Learning NAACL 2024
LMFlow: An Extensible Toolkit for Finetuning and Inference of Large Foundation Models NAACL 2024
Exploring the Impact of Table-to-Text Methods on Augmenting LLM-based Question Answering with Domain Hybrid Data NAACL 2024
Mixup-Induced Domain Extrapolation for Domain Generalization AAAI 2024
Ignore Me But Don’t Replace Me: Utilizing Non-Linguistic Elements for Pretraining on the Cybersecurity Domain NAACL 2024
MACP: Efficient Model Adaptation for Cooperative Perception WACV 2024
FedGCR: Achieving Performance and Fairness for Federated Learning with Distinct Client Types via Group Customization and Reweighting AAAI 2024
NRK at SemEval-2024 Task 1: Semantic Textual Relatedness through Domain Adaptation and Ensemble Learning on BERT-based models SEMEVAL 2024
Towards Unsupervised Model Selection for Domain Adaptive Object Detection NIPS 2024
Unified Domain Generalization and Adaptation for Multi-View 3D Object Detection NIPS 2024
ISP-Teacher:Image Signal Process with Disentanglement Regularization for Unsupervised Domain Adaptive Dark Object Detection AAAI 2024
Reviewing the Forgotten Classes for Domain Adaptation of Black-Box Predictors AAAI 2024
Combining Multiple Supervision for Robust Zero-Shot Dense Retrieval AAAI 2024
Response Enhanced Semi-supervised Dialogue Query Generation AAAI 2024
Gradual Domain Adaptation via Manifold-Constrained Distributionally Robust Optimization NIPS 2024
Domain Adaptation for Large-Vocabulary Object Detectors NIPS 2024
Connectivity-Driven Pseudo-Labeling Makes Stronger Cross-Domain Segmenters NIPS 2024
Probabilistic Federated Prompt-Tuning with Non-IID and Imbalanced Data NIPS 2024
Tools Identification By On-Board Adaptation of Vision-and-Language Models AAAI 2024
On Partial Optimal Transport: Revising the Infeasibility of Sinkhorn and Efficient Gradient Methods AAAI 2024
Effective Comparative Prototype Hashing for Unsupervised Domain Adaptation AAAI 2024
Zero-1-to-3: Domain-Level Zero-Shot Cognitive Diagnosis via One Batch of Early-Bird Students towards Three Diagnostic Objectives AAAI 2024