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Transfer Learning

8,078 papers

Papers per year

Papers

A Combinatorial Perspective on Transfer Learning NIPS 2020
The Advantage of Conditional Meta-Learning for Biased Regularization and Fine Tuning NIPS 2020
Model Selection for Production System via Automated Online Experiments NIPS 2020
Ensembling geophysical models with Bayesian Neural Networks NIPS 2020
Minimax Lower Bounds for Transfer Learning with Linear and One-hidden Layer Neural Networks NIPS 2020
Just Pick a Sign: Optimizing Deep Multitask Models with Gradient Sign Dropout NIPS 2020
Deep Imitation Learning for Bimanual Robotic Manipulation NIPS 2020
Inference Stage Optimization for Cross-scenario 3D Human Pose Estimation NIPS 2020
Interventional Few-Shot Learning NIPS 2020
Learning Dynamic Belief Graphs to Generalize on Text-Based Games NIPS 2020
Do Adversarially Robust ImageNet Models Transfer Better? NIPS 2020
Rethinking Pre-training and Self-training NIPS 2020
An Imitation from Observation Approach to Transfer Learning with Dynamics Mismatch NIPS 2020
Temporal Positive-unlabeled Learning for Biomedical Hypothesis Generation via Risk Estimation NIPS 2020
Stochastic Optimization for Performative Prediction NIPS 2020
Meta-learning from Tasks with Heterogeneous Attribute Spaces NIPS 2020
Differentiable Augmentation for Data-Efficient GAN Training NIPS 2020
Heuristic Domain Adaptation NIPS 2020
Generalized Hindsight for Reinforcement Learning NIPS 2020
On the Theory of Transfer Learning: The Importance of Task Diversity NIPS 2020
Offline Imitation Learning with a Misspecified Simulator NIPS 2020
Empirical Likelihood for Contextual Bandits NIPS 2020
Graph Policy Network for Transferable Active Learning on Graphs NIPS 2020
General Transportability of Soft Interventions: Completeness Results NIPS 2020
MetaPerturb: Transferable Regularizer for Heterogeneous Tasks and Architectures NIPS 2020