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Transfer Learning

2362 directly classified papers

Papers per year

Papers

RGAT at SemEval-2023 Task 2: Named Entity Recognition Using Graph Attention Network SEMEVAL 2023
Manipulating Transfer Learning for Property Inference CVPR 2023
Rethinking Video ViTs: Sparse Video Tubes for Joint Image and Video Learning CVPR 2023
Robust Graph Meta-Learning via Manifold Calibration with Proxy Subgraphs AAAI 2023
Learning Geometric-Aware Properties in 2D Representation Using Lightweight CAD Models, or Zero Real 3D Pairs CVPR 2023
Point-to-Region Co-learning for Poverty Mapping at High Resolution Using Satellite Imagery AAAI 2023
A Graph Fusion Approach for Cross-Lingual Machine Reading Comprehension AAAI 2023
PUnifiedNER: A Prompting-Based Unified NER System for Diverse Datasets AAAI 2023
RESDSQL: Decoupling Schema Linking and Skeleton Parsing for Text-to-SQL AAAI 2023
Texts as Images in Prompt Tuning for Multi-Label Image Recognition CVPR 2023
Script, Language, and Labels: Overcoming Three Discrepancies for Low-Resource Language Specialization AAAI 2023
Learning to Imagine: Distillation-Based Interactive Context Exploitation for Dialogue State Tracking AAAI 2023
Denoising Pre-training for Machine Translation Quality Estimation with Curriculum Learning AAAI 2023
Improving Simultaneous Machine Translation with Monolingual Data AAAI 2023
Active Finetuning: Exploiting Annotation Budget in the Pretraining-Finetuning Paradigm CVPR 2023
Quantized Feature Distillation for Network Quantization AAAI 2023
Transfer Learning Enhanced DeepONet for Long-Time Prediction of Evolution Equations AAAI 2023
Non-IID Transfer Learning on Graphs AAAI 2023
Post-hoc Uncertainty Learning Using a Dirichlet Meta-Model AAAI 2023
Guided Recommendation for Model Fine-Tuning CVPR 2023
Finetune Like You Pretrain: Improved Finetuning of Zero-Shot Vision Models CVPR 2023
Self-Supervised Audio-Visual Representation Learning with Relaxed Cross-Modal Synchronicity AAAI 2023
GLUECons: A Generic Benchmark for Learning under Constraints AAAI 2023
Predictive Exit: Prediction of Fine-Grained Early Exits for Computation- and Energy-Efficient Inference AAAI 2023
Better Generalized Few-Shot Learning Even without Base Data AAAI 2023