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Transfer Learning

8,078 papers

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Papers

Modularity in Reinforcement Learning via Algorithmic Independence in Credit Assignment ICML 2021
Learning Self-Modulating Attention in Continuous Time Space with Applications to Sequential Recommendation ICML 2021
Mandoline: Model Evaluation under Distribution Shift ICML 2021
Self-Paced Context Evaluation for Contextual Reinforcement Learning ICML 2021
KD3A: Unsupervised Multi-Source Decentralized Domain Adaptation via Knowledge Distillation ICML 2021
PsiPhi-Learning: Reinforcement Learning with Demonstrations using Successor Features and Inverse Temporal Difference Learning ICML 2021
Learn-to-Share: A Hardware-friendly Transfer Learning Framework Exploiting Computation and Parameter Sharing ICML 2021
Correcting Exposure Bias for Link Recommendation ICML 2021
Equivariant Learning of Stochastic Fields: Gaussian Processes and Steerable Conditional Neural Processes ICML 2021
Reward Identification in Inverse Reinforcement Learning ICML 2021
A Distribution-dependent Analysis of Meta Learning ICML 2021
NeRF-VAE: A Geometry Aware 3D Scene Generative Model ICML 2021
Model Fusion for Personalized Learning ICML 2021
LAMDA: Label Matching Deep Domain Adaptation ICML 2021
Near-Optimal Linear Regression under Distribution Shift ICML 2021
Uncovering the Connections Between Adversarial Transferability and Knowledge Transferability ICML 2021
APS: Active Pretraining with Successor Features ICML 2021
Provably Efficient Learning of Transferable Rewards ICML 2021
Outside the Echo Chamber: Optimizing the Performative Risk ICML 2021
Emergent Social Learning via Multi-agent Reinforcement Learning ICML 2021
Learning Transferable Visual Models From Natural Language Supervision ICML 2021
Cross-domain Imitation from Observations ICML 2021
A Representation Learning Perspective on the Importance of Train-Validation Splitting in Meta-Learning ICML 2021
RRL: Resnet as representation for Reinforcement Learning ICML 2021
Zoo-Tuning: Adaptive Transfer from A Zoo of Models ICML 2021