Domain Adaptation
9,897 papers
Papers per year
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637
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1,313
1,824
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469
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Papers
MLBMIKABR at “Discharge Me!”: Concept Based Clinical Text Description Generation
ACL 2024
MLNet: Mutual Learning Network with Neighborhood Invariance for Universal Domain Adaptation
AAAI 2024
MmCows: A Multimodal Dataset for Dairy Cattle Monitoring
NeurIPS 2024
MMSite: A Multi-modal Framework for the Identification of Active Sites in Proteins
NeurIPS 2024
MoCCA: A Model of Comparative Concepts for Aligning Constructicons
COLING 2024
Modalities Should Be Appropriately Leveraged: Uncertainty Guidance for Multimodal Chinese Spelling Correction
COLING 2024
Modality-Collaborative Test-Time Adaptation for Action Recognition
CVPR 2024
Modality Translation for Object Detection Adaptation without forgetting prior knowledge
ECCV 2024
Model Assessment and Selection under Temporal Distribution Shift
ICML 2024
Model-based Preference Optimization in Abstractive Summarization without Human Feedback
EMNLP 2024
Model Editing by Standard Fine-Tuning
ACL 2024
Modeling Aspect Sentiment Coherency via Local Sentiment Aggregation
EACL 2024
Modeling Collaborator: Enabling Subjective Vision Classification With Minimal Human Effort via LLM Tool-Use
CVPR 2024
Modeling Stereo-Confidence out of the End-to-End Stereo-Matching Network via Disparity Plane Sweep
AAAI 2024
Modeling Uncertainty and Using Post-fusion as Fallback Improves Retrieval Augmented Generation with LLMs
ACL 2024
Model Reprogramming: Resource-Efficient Cross-Domain Machine Learning
AAAI 2024
MOHO: Learning Single-view Hand-held Object Reconstruction with Multi-view Occlusion-Aware Supervision
CVPR 2024
MOKD: Cross-domain Finetuning for Few-shot Classification via Maximizing Optimized Kernel Dependence
ICML 2024
MolTailor: Tailoring Chemical Molecular Representation to Specific Tasks via Text Prompts
AAAI 2024
Monotonic Risk Relationships under Distribution Shifts for Regularized Risk Minimization
JMLR 2024
MoP-CLIP: A Mixture of Prompt-Tuned CLIP Models for Domain Incremental Learning
WACV 2024
More Flexible PAC-Bayesian Meta-Learning by Learning Learning Algorithms
ICML 2024
More is Better: Deep Domain Adaptation with Multiple Sources
IJCAI 2024
More Than Catastrophic Forgetting: Integrating General Capabilities For Domain-Specific LLMs
EMNLP 2024
Morphological Synthesizer for Ge’ez Language: Addressing Morphological Complexity and Resource Limitations
COLING 2024