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Transfer Learning

8,166 papers

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Papers

Multi-Agent Learning from Learners ICML 2023
Neural Latent Aligner: Cross-trial Alignment for Learning Representations of Complex, Naturalistic Neural Data ICML 2023
K-SHAP: Policy Clustering Algorithm for Anonymous Multi-Agent State-Action Pairs ICML 2023
Multi-task Representation Learning for Pure Exploration in Linear Bandits ICML 2023
Guiding Pretraining in Reinforcement Learning with Large Language Models ICML 2023
Learning Temporally AbstractWorld Models without Online Experimentation ICML 2023
A Coupled Flow Approach to Imitation Learning ICML 2023
Why Is Public Pretraining Necessary for Private Model Training? ICML 2023
RLSbench: Domain Adaptation Under Relaxed Label Shift ICML 2023
RankMe: Assessing the Downstream Performance of Pretrained Self-Supervised Representations by Their Rank ICML 2023
A Reinforcement Learning Framework for Dynamic Mediation Analysis ICML 2023
Reinforcement Learning from Passive Data via Latent Intentions ICML 2023
Linkless Link Prediction via Relational Distillation ICML 2023
Identifying Useful Learnwares for Heterogeneous Label Spaces ICML 2023
Multi-Task Structural Learning using Local Task Similarity induced Neuron Creation and Removal ICML 2023
Domain Adaptation for Time Series Under Feature and Label Shifts ICML 2023
Principled Offline RL in the Presence of Rich Exogenous Information ICML 2023
Estimating Causal Effects using a Multi-task Deep Ensemble ICML 2023
Leveraging Proxy of Training Data for Test-Time Adaptation ICML 2023
Learning Mixtures of Markov Chains and MDPs ICML 2023
Learnability and Algorithm for Continual Learning ICML 2023
Can We Scale Transformers to Predict Parameters of Diverse ImageNet Models? ICML 2023
Enabling First-Order Gradient-Based Learning for Equilibrium Computation in Markets ICML 2023
ChiPFormer: Transferable Chip Placement via Offline Decision Transformer ICML 2023
Learning in POMDPs is Sample-Efficient with Hindsight Observability ICML 2023