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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
Neural Analysis and Synthesis: Reconstructing Speech from Self-Supervised Representations
NIPS 2021
An Efficient Transfer Learning Framework for Multiagent Reinforcement Learning
NIPS 2021
Tuning Large Neural Networks via Zero-Shot Hyperparameter Transfer
NIPS 2021
A Prototype-Oriented Framework for Unsupervised Domain Adaptation
NIPS 2021
Risk-Aware Transfer in Reinforcement Learning using Successor Features
NIPS 2021
Improving Transferability of Representations via Augmentation-Aware Self-Supervision
NIPS 2021
Weighted model estimation for offline model-based reinforcement learning
NIPS 2021
Graph Posterior Network: Bayesian Predictive Uncertainty for Node Classification
NIPS 2021
IRM—when it works and when it doesn't: A test case of natural language inference
NIPS 2021
SalKG: Learning From Knowledge Graph Explanations for Commonsense Reasoning
NIPS 2021
Behavior From the Void: Unsupervised Active Pre-Training
NIPS 2021
Bridging the Imitation Gap by Adaptive Insubordination
NIPS 2021
Leveraging Distribution Alignment via Stein Path for Cross-Domain Cold-Start Recommendation
NIPS 2021
Scalable Diverse Model Selection for Accessible Transfer Learning
NIPS 2021
Exploiting a Zoo of Checkpoints for Unseen Tasks
NIPS 2021
Provably efficient multi-task reinforcement learning with model transfer
NIPS 2021
Private learning implies quantum stability
NIPS 2021
Interesting Object, Curious Agent: Learning Task-Agnostic Exploration
NIPS 2021
Variational Multi-Task Learning with Gumbel-Softmax Priors
NIPS 2021
AFEC: Active Forgetting of Negative Transfer in Continual Learning
NIPS 2021
Achieving Forgetting Prevention and Knowledge Transfer in Continual Learning
NIPS 2021
PartialFed: Cross-Domain Personalized Federated Learning via Partial Initialization
NIPS 2021
Learning Semantic Representations to Verify Hardware Designs
NIPS 2021
MERLOT: Multimodal Neural Script Knowledge Models
NIPS 2021
Snowflake: Scaling GNNs to high-dimensional continuous control via parameter freezing
NIPS 2021
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