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Transfer Learning

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Using Pre-Training Can Improve Model Robustness and Uncertainty ICML 2019
Learning to Optimize Multigrid PDE Solvers ICML 2019
Provably efficient RL with Rich Observations via Latent State Decoding ICML 2019
Provable Guarantees for Gradient-Based Meta-Learning ICML 2019
Infinite Task Learning in RKHSs AISTATS 2019
A Study of Educational Data Mining: Evidence from a Thai University AAAI 2019
Cross-View Policy Learning for Street Navigation ICCV 2019
Imitation Learning for Human Pose Prediction ICCV 2019
Incremental Scene Synthesis NIPS 2019
Third-Person Visual Imitation Learning via Decoupled Hierarchical Controller NIPS 2019
Multi-Garment Net: Learning to Dress 3D People From Images ICCV 2019
Parameter-Transfer Learning for Low-Resource Individualization of Head-Related Transfer Functions INTERSPEECH 2019
Vietnamese Learners Tackling the German /ʃt/ in Perception INTERSPEECH 2019
An Articulatory-Acoustic Investigation into GOOSE-Fronting in German-English Bilinguals Residing in London, UK INTERSPEECH 2019
Liquid Deletion in French Child-Directed Speech INTERSPEECH 2019
Online Influence Maximization with Local Observations ALT 2019
SplitNet: Sim2Sim and Task2Task Transfer for Embodied Visual Navigation ICCV 2019
Transferable Normalization: Towards Improving Transferability of Deep Neural Networks NIPS 2019
Deep Model Transferability from Attribution Maps NIPS 2019
Generalize Across Tasks: Efficient Algorithms for Linear Representation Learning ALT 2019
Scalable Deep Generative Relational Model with High-Order Node Dependence NIPS 2019
Modular Universal Reparameterization: Deep Multi-task Learning Across Diverse Domains NIPS 2019
Learning search spaces for Bayesian optimization: Another view of hyperparameter transfer learning NIPS 2019
Approximation Ratios of Graph Neural Networks for Combinatorial Problems NIPS 2019
Learning New Tricks From Old Dogs: Multi-Source Transfer Learning From Pre-Trained Networks NIPS 2019