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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
Aggregating From Multiple Target-Shifted Sources
ICML 2021
Multi-Task Reinforcement Learning with Context-based Representations
ICML 2021
REPAINT: Knowledge Transfer in Deep Reinforcement Learning
ICML 2021
Provable Meta-Learning of Linear Representations
ICML 2021
CURI: A Benchmark for Productive Concept Learning Under Uncertainty
ICML 2021
Self-Tuning for Data-Efficient Deep Learning
ICML 2021
UniSpeech: Unified Speech Representation Learning with Labeled and Unlabeled Data
ICML 2021
Towards Open-World Recommendation: An Inductive Model-based Collaborative Filtering Approach
ICML 2021
Mediated Uncoupled Learning: Learning Functions without Direct Input-output Correspondences
ICML 2021
From Local Structures to Size Generalization in Graph Neural Networks
ICML 2021
Distributed Nyström Kernel Learning with Communications
ICML 2021
LogME: Practical Assessment of Pre-trained Models for Transfer Learning
ICML 2021
Large Scale Private Learning via Low-rank Reparametrization
ICML 2021
Interacting with Explanations through Critiquing
IJCAI 2021
AgeFlow: Conditional Age Progression and Regression with Normalizing Flows
IJCAI 2021
Noise Doesn't Lie: Towards Universal Detection of Deep Inpainting
IJCAI 2021
Cross-Domain Few-Shot Classification via Adversarial Task Augmentation
IJCAI 2021
Micro-Expression Recognition Enhanced by Macro-Expression from Spatial-Temporal Domain
IJCAI 2021
Learning Implicitly with Noisy Data in Linear Arithmetic
IJCAI 2021
Human-AI Collaboration with Bandit Feedback
IJCAI 2021
A Uniform Abstraction Framework for Generalized Planning
IJCAI 2021
Actively Learning Concepts and Conjunctive Queries under ELr-Ontologies
IJCAI 2021
Bayesian Experience Reuse for Learning from Multiple Demonstrators
IJCAI 2021
Learning to Learn Personalized Neural Network for Ventricular Arrhythmias Detection on Intracardiac EGMs
IJCAI 2021
Regularising Knowledge Transfer by Meta Functional Learning
IJCAI 2021
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