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Transfer Learning

8,078 papers

Papers per year

Papers

Relevance-aware Diverse Query Generation for Out-of-domain Text Ranking ACL 2024
Bridging the Gap: Transfer Learning from English PLMs to Malaysian English ACL 2024
How Useful is Continued Pre-Training for Generative Unsupervised Domain Adaptation? ACL 2024
Incremental pre-training from smaller language models ACL 2024
Turkish Delights: A Dataset on Turkish Euphemisms ACL 2024
ThangDLU at #SMM4H 2024: Encoder-decoder models for classifying text data on social disorders in children and adolescents ACL 2024
DILAB at #SMM4H 2024: RoBERTa Ensemble for Identifying Children’s Medical Disorders in English Tweets ACL 2024
LT4SG@SMM4H’24: Tweets Classification for Digital Epidemiology of Childhood Health Outcomes Using Pre-Trained Language Models ACL 2024
712forTask7 at #SMM4H 2024 Task 7: Classifying Spanish Tweets Annotated by Humans versus Machines with BETO Models ACL 2024
HITSZ-HLT at WASSA-2024 Shared Task 2: Language-agnostic Multi-task Learning for Explainability of Cross-lingual Emotion Detection ACL 2024
Effectiveness of Scalable Monolingual Data and Trigger Words Prompting on Cross-Lingual Emotion Detection Task ACL 2024
WU_TLAXE at WASSA 2024 Explainability for Cross-Lingual Emotion in Tweets Shared Task 1: Emotion through Translation using TwHIN-BERT and GPT ACL 2024
Simple and scalable algorithms for cluster-aware precision medicine AISTATS 2024
TransFusion: Covariate-Shift Robust Transfer Learning for High-Dimensional Regression AISTATS 2024
Unified Transfer Learning in High-Dimensional Linear Regression AISTATS 2024
Adaptive Parametric Prototype Learning for Cross-Domain Few-Shot Classification AISTATS 2024
Sample Complexity Characterization for Linear Contextual MDPs AISTATS 2024
General Identifiability and Achievability for Causal Representation Learning AISTATS 2024
Multi-Resolution Active Learning of Fourier Neural Operators AISTATS 2024
Distributionally Robust Off-Dynamics Reinforcement Learning: Provable Efficiency with Linear Function Approximation AISTATS 2024
XB-MAML: Learning Expandable Basis Parameters for Effective Meta-Learning with Wide Task Coverage AISTATS 2024
ALAS: Active Learning for Autoconversion Rates Prediction from Satellite Data AISTATS 2024
On the Generalization Ability of Unsupervised Pretraining AISTATS 2024
Surrogate Active Subspaces for Jump-Discontinuous Functions AISTATS 2024
Understanding Inverse Scaling and Emergence in Multitask Representation Learning AISTATS 2024