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Transfer Learning

8,078 papers

Papers per year

Papers

Cycle Self-Refinement for Multi-Source Domain Adaptation AAAI 2024
Emergent Communication for Numerical Concepts Generalization AAAI 2024
Enhancing Low-Resource Relation Representations through Multi-View Decoupling AAAI 2024
DA-Net: A Disentangled and Adaptive Network for Multi-Source Cross-Lingual Transfer Learning AAAI 2024
Discrepancy and Uncertainty Aware Denoising Knowledge Distillation for Zero-Shot Cross-Lingual Named Entity Recognition AAAI 2024
Three Heads Are Better than One: Improving Cross-Domain NER with Progressive Decomposed Network AAAI 2024
Uncovering and Mitigating the Hidden Chasm: A Study on the Text-Text Domain Gap in Euphemism Identification AAAI 2024
Enhancing Multi-Label Classification via Dynamic Label-Order Learning AAAI 2024
Bootstrapping Large Language Models for Radiology Report Generation AAAI 2024
Adaptive Prompt Routing for Arbitrary Text Style Transfer with Pre-trained Language Models AAAI 2024
READ-PVLA: Recurrent Adapter with Partial Video-Language Alignment for Parameter-Efficient Transfer Learning in Low-Resource Video-Language Modeling AAAI 2024
Well, Now We Know! Unveiling Sarcasm: Initiating and Exploring Multimodal Conversations with Reasoning AAAI 2024
Improving the Robustness of Knowledge-Grounded Dialogue via Contrastive Learning AAAI 2024
Zhongjing: Enhancing the Chinese Medical Capabilities of Large Language Model through Expert Feedback and Real-World Multi-Turn Dialogue AAAI 2024
Personalized LoRA for Human-Centered Text Understanding AAAI 2024
ExpeL: LLM Agents Are Experiential Learners AAAI 2024
Graph Reasoning Transformers for Knowledge-Aware Question Answering AAAI 2024
Can LLMs Fix Issues with Reasoning Models? Towards More Likely Models for AI Planning AAAI 2024
SayCanPay: Heuristic Planning with Large Language Models Using Learnable Domain Knowledge AAAI 2024
Learning to Optimize Permutation Flow Shop Scheduling via Graph-Based Imitation Learning AAAI 2024
Generalized Planning in PDDL Domains with Pretrained Large Language Models AAAI 2024
Neural Causal Abstractions AAAI 2024
An Interpretable Approach to the Solutions of High-Dimensional Partial Differential Equations AAAI 2024
Where It Really Matters: Few-Shot Environmental Conservation Media Monitoring for Low-Resource Languages AAAI 2024
AutoLTS: Automating Cycling Stress Assessment via Contrastive Learning and Spatial Post-processing AAAI 2024