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← Learning Paradigms
Artificial Intelligence
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Learning Paradigms
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Transfer Learning
8,078 papers
Papers per year
2002: 2
2003: 1
2005: 3
2006: 5
2007: 12
2008: 7
2009: 7
2010: 16
2011: 15
2012: 13
2013: 35
2014: 32
2015: 40
2016: 72
2017: 149
2018: 341
2019: 619
2020: 711
2021: 992
2022: 980
2023: 1182
2024: 1282
2025: 1254
2026: 308
Papers
Detecting Individual Decision-Making Style: Exploring Behavioral Stylometry in Chess
NIPS 2021
Modular Gaussian Processes for Transfer Learning
NIPS 2021
Domain Adaptation with Invariant Representation Learning: What Transformations to Learn?
NIPS 2021
Learning Hard Optimization Problems: A Data Generation Perspective
NIPS 2021
Adversarial Training Helps Transfer Learning via Better Representations
NIPS 2021
A Mathematical Framework for Quantifying Transferability in Multi-source Transfer Learning
NIPS 2021
To Beam Or Not To Beam: That is a Question of Cooperation for Language GANs
NIPS 2021
The Role of Global Labels in Few-Shot Classification and How to Infer Them
NIPS 2021
Improved Regularization and Robustness for Fine-tuning in Neural Networks
NIPS 2021
On Learning Domain-Invariant Representations for Transfer Learning with Multiple Sources
NIPS 2021
A generative nonparametric Bayesian model for whole genomes
NIPS 2021
MobILE: Model-Based Imitation Learning From Observation Alone
NIPS 2021
Iterative Teacher-Aware Learning
NIPS 2021
Exploiting the Intrinsic Neighborhood Structure for Source-free Domain Adaptation
NIPS 2021
Parameter Prediction for Unseen Deep Architectures
NIPS 2021
Shaping embodied agent behavior with activity-context priors from egocentric video
NIPS 2021
Taskography: Evaluating robot task planning over large 3D scene graphs
CORL 2021
Demonstration-Guided Reinforcement Learning with Learned Skills
CORL 2021
My House, My Rules: Learning Tidying Preferences with Graph Neural Networks
CORL 2021
AW-Opt: Learning Robotic Skills with Imitation andReinforcement at Scale
CORL 2021
Learning Behaviors through Physics-driven Latent Imagination
CORL 2021
Learning Language-Conditioned Robot Behavior from Offline Data and Crowd-Sourced Annotation
CORL 2021
Hierarchically Integrated Models: Learning to Navigate from Heterogeneous Robots
CORL 2021
Error-Aware Imitation Learning from Teleoperation Data for Mobile Manipulation
CORL 2021
Neural Posterior Domain Randomization
CORL 2021
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