transfer learning
A machine learning technique where a model trained on one task is fine-tuned or adapted to perform related tasks, thereby reducing training time and data requirements.
- A Physics-preserved Transfer Learning Method for Differential Equations
- Adaptive Defense against Harmful Fine-Tuning for Large Language Models via Bayesian Data Scheduler
- Auto-Compressing Networks
- Auto-Compressing Networks
- BoltzNCE: Learning likelihoods for Boltzmann Generation with Stochastic Interpolants and Noise Contrastive Estimation
- Centralized Reward Agent for Knowledge Sharing and Transfer in Multi-Task Reinforcement Learning
- Co-Regularization Enhances Knowledge Transfer in High Dimensions
- Contrastive Consolidation of Top-Down Modulations Achieves Sparsely Supervised Continual Learning
- Cost-Sensitive Freeze-thaw Bayesian Optimization for Efficient Hyperparameter Tuning
- Efficient Allocation of Working Memory Resource for Utility Maximization in Humans and Recurrent Neural Networks
- From Pretraining to Pathology: How Noise Leads to Catastrophic Inheritance in Medical Models
- Generative Graph Pattern Machine
- Geometry-Aware Collaborative Multi-Solutions Optimizer for Model Fine-Tuning with Parameter Efficiency
- Improving Model-Based Reinforcement Learning by Converging to Flatter Minima
- MIRA: Medical Time Series Foundation Model for Real-World Health Data
- NaturalReasoning: Reasoning in the Wild with 2.8M Challenging Questions
- Principled Data Augmentation for Learning to Solve Quadratic Programming Problems
- Provable Sample-Efficient Transfer Learning Conditional Diffusion Models via Representation Learning
- Rethinking Hebbian Principle: Low-Dimensional Structural Projection for Unsupervised Learning
- Reward-Aware Proto-Representations in Reinforcement Learning
- Soft Task-Aware Routing of Experts for Equivariant Representation Learning
- State Entropy Regularization for Robust Reinforcement Learning
- State Entropy Regularization for Robust Reinforcement Learning
- TabSTAR: A Tabular Foundation Model for Tabular Data with Text Fields
- The Quest for Universal Master Key Filters in DS-CNNs
- Transfer Faster, Price Smarter: Minimax Dynamic Pricing under Cross-Market Preference Shift
- Transfer Learning for Benign Overfitting in High-Dimensional Linear Regression
- Unified Transferability Metrics for Time Series Foundation Models
- Wasserstein Transfer Learning