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Transfer Learning

3,884 papers

Papers per year

Papers

Double-Weighting for Covariate Shift Adaptation ICML 2023
Generative Causal Representation Learning for Out-of-Distribution Motion Forecasting ICML 2023
Towards Robust Graph Incremental Learning on Evolving Graphs ICML 2023
Target-Aware Generative Augmentations for Single-Shot Adaptation ICML 2023
Leveraging Offline Data in Online Reinforcement Learning ICML 2023
Investigating the Role of Model-Based Learning in Exploration and Transfer ICML 2023
Polarity Is All You Need to Learn and Transfer Faster ICML 2023
On the Power of Pre-training for Generalization in RL: Provable Benefits and Hardness ICML 2023
Continual Learners are Incremental Model Generalizers ICML 2023
The Benefits of Model-Based Generalization in Reinforcement Learning ICML 2023
SeedGNN: Graph Neural Network for Supervised Seeded Graph Matching ICML 2023
On the Power of Foundation Models ICML 2023
Learning useful representations for shifting tasks and distributions ICML 2023
FedCR: Personalized Federated Learning Based on Across-Client Common Representation with Conditional Mutual Information Regularization ICML 2023
On Pitfalls of Test-Time Adaptation ICML 2023
ODS: Test-Time Adaptation in the Presence of Open-World Data Shift ICML 2023
XTab: Cross-table Pretraining for Tabular Transformers ICML 2023
RAIN: RegulArization on Input and Network for Black-Box Domain Adaptation IJCAI 2023
Improving Heterogeneous Model Reuse by Density Estimation IJCAI 2023
Fine-tuned vs. Prompt-tuned Supervised Representations: Which Better Account for Brain Language Representations? IJCAI 2023
Large Language Model Adaptation for Financial Sentiment Analysis IJCNLP 2023
A low resource framework for Multi-lingual ESG Impact Type Identification IJCNLP 2023
Adapting Language-Audio Models as Few-Shot Audio Learners INTERSPEECH 2023
Fine-tuning Audio Spectrogram Transformer with Task-aware Adapters for Sound Event Detection INTERSPEECH 2023
On the N-gram Approximation of Pre-trained Language Models INTERSPEECH 2023