transfer learning

5442 papers

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Also known as

TANDA HTL TL ULMFIT TRL

Co-occurring keywords

domain adaptation (4578) text classification (6776) representation learning (6174) few-shot learning (3390) multi-task learning (2556) language model (4573) zero-shot learning (3637) low-resource language (2234) knowledge distillation (3680) large language model (12755)

Papers

Leveraging Task-Specific Pre-Training To Reason Across Images and Videos WACV 2024

Zero-Shot Video Moment Retrieval From Frozen Vision-Language Models WACV 2024

MoP-CLIP: A Mixture of Prompt-Tuned CLIP Models for Domain Incremental Learning WACV 2024

FakeSound: Deepfake General Audio Detection INTERSPEECH 2024

Transfer Learning for Russian Legal Text Simplification COLING 2024

Large Language Models Can Learn Temporal Reasoning ACL 2024

Model Reprogramming: Resource-Efficient Cross-Domain Machine Learning AAAI 2024

AI-Based Energy Transportation Safety: Pipeline Radial Threat Estimation Using Intelligent Sensing System AAAI 2024

Robust Fine-tuning of Zero-shot Models via Variance Reduction NIPS 2024

RGB-X Object Detection via Scene-Specific Fusion Modules WACV 2024

Less is More: Parameter-Efficient Selection of Intermediate Tasks for Transfer Learning EMNLP 2024

Referee-Meta-Learning for Fast Adaptation of Locational Fairness AAAI 2024

An Interpretable Approach to the Solutions of High-Dimensional Partial Differential Equations AAAI 2024

Empowering Small-Scale Knowledge Graphs: A Strategy of Leveraging General-Purpose Knowledge Graphs for Enriched Embeddings COLING 2024

Enhancing Low-Resource Relation Representations through Multi-View Decoupling AAAI 2024

Multi-Label Supervised Contrastive Learning AAAI 2024

Unlocking the Potential of Pre-trained Vision Transformers for Few-Shot Semantic Segmentation through Relationship Descriptors CVPR 2024

HGPrompt: Bridging Homogeneous and Heterogeneous Graphs for Few-Shot Prompt Learning AAAI 2024

Progressively Knowledge Distillation via Re-parameterizing Diffusion Reverse Process AAAI 2024

SCoFT: Self-Contrastive Fine-Tuning for Equitable Image Generation CVPR 2024

Model-Based Transfer Learning for Contextual Reinforcement Learning NIPS 2024

Aligning Non-Causal Factors for Transformer-Based Source-Free Domain Adaptation WACV 2024

Automatic Animacy Classification for Romanian Nouns COLING 2024

A Transfer Approach Using Graph Neural Networks in Deep Reinforcement Learning AAAI 2024

Transformer as Linear Expansion of Learngene AAAI 2024