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Transfer Learning

8,166 papers

Papers per year

3
16
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Papers

Approximation Ratios of Graph Neural Networks for Combinatorial Problems NIPS 2019
Hyperparameter Learning via Distributional Transfer NIPS 2019
Learning search spaces for Bayesian optimization: Another view of hyperparameter transfer learning NIPS 2019
Modular Universal Reparameterization: Deep Multi-task Learning Across Diverse Domains NIPS 2019
Controllable Unsupervised Text Attribute Transfer via Editing Entangled Latent Representation NIPS 2019
Third-Person Visual Imitation Learning via Decoupled Hierarchical Controller NIPS 2019
Incremental Scene Synthesis NIPS 2019
Multi-Resolution Weak Supervision for Sequential Data NIPS 2019
Bridging Machine Learning and Logical Reasoning by Abductive Learning NIPS 2019
Scalable Deep Generative Relational Model with High-Order Node Dependence NIPS 2019
Tensor Monte Carlo: Particle Methods for the GPU era NIPS 2019
Learning Transferable Graph Exploration NIPS 2019
Two Generator Game: Learning to Sample via Linear Goodness-of-Fit Test NIPS 2019
Deep imitation learning for molecular inverse problems NIPS 2019
On the Value of Target Data in Transfer Learning NIPS 2019
Transfer Learning via Minimizing the Performance Gap Between Domains NIPS 2019
Goal-conditioned Imitation Learning NIPS 2019
Sim2real transfer learning for 3D human pose estimation: motion to the rescue NIPS 2019
On the Transfer of Inductive Bias from Simulation to the Real World: a New Disentanglement Dataset NIPS 2019
Structure Learning with Side Information: Sample Complexity NIPS 2019
Deep Model Transferability from Attribution Maps NIPS 2019
Meta Architecture Search NIPS 2019
Transfusion: Understanding Transfer Learning for Medical Imaging NIPS 2019
Statistical Model Aggregation via Parameter Matching NIPS 2019
Quantum Wasserstein Generative Adversarial Networks NIPS 2019