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Transfer Learning

2362 directly classified papers

Papers per year

Papers

When to Use What: An In-Depth Comparative Empirical Analysis of OpenIE Systems for Downstream Applications ACL 2023
Learning Non-linguistic Skills without Sacrificing Linguistic Proficiency ACL 2023
RGAT at SemEval-2023 Task 2: Named Entity Recognition Using Graph Attention Network SEMEVAL 2023
Improving Self-training for Cross-lingual Named Entity Recognition with Contrastive and Prototype Learning ACL 2023
Robust Graph Meta-Learning via Manifold Calibration with Proxy Subgraphs AAAI 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
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
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
Long-Tailed Question Answering in an Open World ACL 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
Graph Knows Unknowns: Reformulate Zero-Shot Learning as Sample-Level Graph Recognition AAAI 2023
Equi-Tuning: Group Equivariant Fine-Tuning of Pretrained Models AAAI 2023
Scaling Law for Recommendation Models: Towards General-Purpose User Representations AAAI 2023