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Transfer Learning

8,078 papers

Papers per year

Papers

Hierarchical Granularity Transfer Learning NIPS 2020
DeepI2I: Enabling Deep Hierarchical Image-to-Image Translation by Transferring from GANs NIPS 2020
Learning with Optimized Random Features: Exponential Speedup by Quantum Machine Learning without Sparsity and Low-Rank Assumptions NIPS 2020
Group-Fair Online Allocation in Continuous Time NIPS 2020
Transfer Learning via $\ell_1$ Regularization NIPS 2020
Recovery of sparse linear classifiers from mixture of responses NIPS 2020
Few-shot Image Generation with Elastic Weight Consolidation NIPS 2020
Shared Space Transfer Learning for analyzing multi-site fMRI data NIPS 2020
Inductive Quantum Embedding NIPS 2020
AViD Dataset: Anonymized Videos from Diverse Countries NIPS 2020
Co-Tuning for Transfer Learning NIPS 2020
Adaptive Graph Convolutional Recurrent Network for Traffic Forecasting NIPS 2020
The MAGICAL Benchmark for Robust Imitation NIPS 2020
Continual Learning of a Mixed Sequence of Similar and Dissimilar Tasks NIPS 2020
Content Provider Dynamics and Coordination in Recommendation Ecosystems NIPS 2020
Learning Search Space Partition for Black-box Optimization using Monte Carlo Tree Search NIPS 2020
An Efficient Framework for Clustered Federated Learning NIPS 2020
Knowledge Distillation in Wide Neural Networks: Risk Bound, Data Efficiency and Imperfect Teacher NIPS 2020
Bootstrap Your Own Latent - A New Approach to Self-Supervised Learning NIPS 2020
Geometric Dataset Distances via Optimal Transport NIPS 2020
Not All Unlabeled Data are Equal: Learning to Weight Data in Semi-supervised Learning NIPS 2020
Matrix Inference and Estimation in Multi-Layer Models NIPS 2020
Learning a Decision Module by Imitating Driver’s Control Behaviors CORL 2020
Augmenting GAIL with BC for sample efficient imitation learning CORL 2020
Accelerating Reinforcement Learning with Learned Skill Priors CORL 2020