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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
"Good Robot! Now Watch This!": Repurposing Reinforcement Learning for Task-to-Task Transfer
CORL 2021
Generalised Task Planning with First-Order Function Approximation
CORL 2021
Tactile Sim-to-Real Policy Transfer via Real-to-Sim Image Translation
CORL 2021
The Task Specification Problem
CORL 2021
Deductive Learning for Weakly-Supervised 3D Human Pose Estimation via Uncalibrated Cameras
AAAI 2021
Inference Fusion with Associative Semantics for Unseen Object Detection
AAAI 2021
Subtype-aware Unsupervised Domain Adaptation for Medical Diagnosis
AAAI 2021
PC-HMR: Pose Calibration for 3D Human Mesh Recovery from 2D Images/Videos
AAAI 2021
Robust Knowledge Transfer via Hybrid Forward on the Teacher-Student Model
AAAI 2021
Self-Domain Adaptation for Face Anti-Spoofing
AAAI 2021
Holistic Multi-View Building Analysis in the Wild with Projection Pooling
AAAI 2021
Deep Transfer Tensor Decomposition with Orthogonal Constraint for Recommender Systems
AAAI 2021
Graph-Enhanced Multi-Task Learning of Multi-Level Transition Dynamics for Session-based Recommendation
AAAI 2021
Cross-Oilfield Reservoir Classification via Multi-Scale Sensor Knowledge Transfer
AAAI 2021
U-BERT: Pre-training User Representations for Improved Recommendation
AAAI 2021
Transfer Graph Neural Networks for Pandemic Forecasting
AAAI 2021
Steering a Historical Disease Forecasting Model Under a Pandemic: Case of Flu and COVID-19
AAAI 2021
I3DOL: Incremental 3D Object Learning without Catastrophic Forgetting
AAAI 2021
Commonsense Knowledge Augmentation for Low-Resource Languages via Adversarial Learning
AAAI 2021
An Enhanced Advising Model in Teacher-Student Framework using State Categorization
AAAI 2021
Towards Reusable Network Components by Learning Compatible Representations
AAAI 2021
Analysing the Noise Model Error for Realistic Noisy Label Data
AAAI 2021
Boosting Multi-task Learning Through Combination of Task Labels - with Applications in ECG Phenotyping
AAAI 2021
Show, Attend and Distill: Knowledge Distillation via Attention-based Feature Matching
AAAI 2021
Hypothesis Disparity Regularized Mutual Information Maximization
AAAI 2021
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