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Transfer Learning

8,078 papers

Papers per year

Papers

One Fits All: Power General Time Series Analysis by Pretrained LM NIPS 2023
Causal Discovery from Subsampled Time Series with Proxy Variables NIPS 2023
FD-Align: Feature Discrimination Alignment for Fine-tuning Pre-Trained Models in Few-Shot Learning NIPS 2023
Transportability for Bandits with Data from Different Environments NIPS 2023
LIBERO: Benchmarking Knowledge Transfer for Lifelong Robot Learning NIPS 2023
A Unified, Scalable Framework for Neural Population Decoding NIPS 2023
PRED: Pre-training via Semantic Rendering on LiDAR Point Clouds NIPS 2023
Action Inference by Maximising Evidence: Zero-Shot Imitation from Observation with World Models NIPS 2023
Propagating Knowledge Updates to LMs Through Distillation NIPS 2023
Imitation Learning from Vague Feedback NIPS 2023
Compositional Abilities Emerge Multiplicatively: Exploring Diffusion Models on a Synthetic Task NIPS 2023
Graph-Structured Gaussian Processes for Transferable Graph Learning NIPS 2023
Benchmarking Robustness of Adaptation Methods on Pre-trained Vision-Language Models NIPS 2023
Graph Neural Networks for Road Safety Modeling: Datasets and Evaluations for Accident Analysis NIPS 2023
Robust Knowledge Transfer in Tiered Reinforcement Learning NIPS 2023
Universal Prompt Tuning for Graph Neural Networks NIPS 2023
Efficient Adaptation of Large Vision Transformer via Adapter Re-Composing NIPS 2023
Timewarp: Transferable Acceleration of Molecular Dynamics by Learning Time-Coarsened Dynamics NIPS 2023
Fine-Tuning Language Models with Just Forward Passes NIPS 2023
Better Correlation and Robustness: A Distribution-Balanced Self-Supervised Learning Framework for Automatic Dialogue Evaluation NIPS 2023
Multi-task learning with summary statistics NIPS 2023
Guide Your Agent with Adaptive Multimodal Rewards NIPS 2023
Learning Unseen Modality Interaction NIPS 2023
Model-enhanced Vector Index NIPS 2023
On the Role of Entanglement and Statistics in Learning NIPS 2023