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transfer learning

5442 papers

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Also known as

TANDA HTL TL ULMFIT TRL

Co-occurring keywords

domain adaptation (4578) text classification (6776) representation learning (6174) few-shot learning (3390) multi-task learning (2556) language model (4573) zero-shot learning (3637) low-resource language (2234) knowledge distillation (3680) large language model (12755)

Papers

Cross-Modal Learning Filters for RGB-Neuromorphic Wormhole Learning RSS 2019
Data-Efficient Goal-Oriented Conversation with Dialogue Knowledge Transfer Networks EMNLP 2019
Cross-View Policy Learning for Street Navigation ICCV 2019
Boosting Transfer Learning with Survival Data from Heterogeneous Domains AISTATS 2019
SplitNet: Sim2Sim and Task2Task Transfer for Embodied Visual Navigation ICCV 2019
Convolutional Neural Networks for Financial Text Regression ACL 2019
Distantly Supervised Entity Relation Extraction with Adapted Manual Annotations AAAI 2019
Cross-Lingual Machine Reading Comprehension EMNLP 2019
DENS: A Dataset for Multi-class Emotion Analysis EMNLP 2019
Learning value functions with relational state representations for guiding task-and-motion planning CORL 2019
Moment Matching for Multi-Source Domain Adaptation ICCV 2019
Larger Norm More Transferable: An Adaptive Feature Norm Approach for Unsupervised Domain Adaptation ICCV 2019
UM-Adapt: Unsupervised Multi-Task Adaptation Using Adversarial Cross-Task Distillation ICCV 2019
Transferable Semi-Supervised 3D Object Detection From RGB-D Data ICCV 2019
On Boosting Single-Frame 3D Human Pose Estimation via Monocular Videos ICCV 2019
Learning to Discover Novel Visual Categories via Deep Transfer Clustering ICCV 2019
HACS: Human Action Clips and Segments Dataset for Recognition and Temporal Localization ICCV 2019
nocaps: novel object captioning at scale ICCV 2019
Distant Supervised Centroid Shift: A Simple and Efficient Approach to Visual Domain Adaptation CVPR 2019
On the Transfer of Inductive Bias from Simulation to the Real World: a New Disentanglement Dataset NIPS 2019
Evaluating Protein Transfer Learning with TAPE NIPS 2019
Label Embedding with Partial Heterogeneous Contexts AAAI 2019
Unsupervised Domain Adaptation by Matching Distributions Based on the Maximum Mean Discrepancy via Unilateral Transformations AAAI 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