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Machine Learning
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Transfer Learning
3,884 papers
Papers per year
2002: 1
2003: 1
2006: 3
2007: 2
2008: 3
2009: 3
2010: 4
2011: 7
2012: 5
2013: 28
2014: 14
2015: 14
2016: 50
2017: 119
2018: 136
2019: 254
2020: 371
2021: 481
2022: 497
2023: 584
2024: 538
2025: 735
2026: 34
Papers
Optimizing the Collaboration Structure in Cross-Silo Federated Learning
ICML 2023
Model Transferability with Responsive Decision Subjects
ICML 2023
Lifelong Language Pretraining with Distribution-Specialized Experts
ICML 2023
Why Is Public Pretraining Necessary for Private Model Training?
ICML 2023
RLSbench: Domain Adaptation Under Relaxed Label Shift
ICML 2023
Multi-Task Structural Learning using Local Task Similarity induced Neuron Creation and Removal
ICML 2023
For Pre-Trained Vision Models in Motor Control, Not All Policy Learning Methods are Created Equal
ICML 2023
Efficient Training of Language Models using Few-Shot Learning
ICML 2023
Bidirectional Adaptation for Robust Semi-Supervised Learning with Inconsistent Data Distributions
ICML 2023
Estimating Joint Treatment Effects by Combining Multiple Experiments
ICML 2023
IncDSI: Incrementally Updatable Document Retrieval
ICML 2023
Can We Scale Transformers to Predict Parameters of Diverse ImageNet Models?
ICML 2023
HETAL: Efficient Privacy-preserving Transfer Learning with Homomorphic Encryption
ICML 2023
Internet Explorer: Targeted Representation Learning on the Open Web
ICML 2023
BLIP-2: Bootstrapping Language-Image Pre-training with Frozen Image Encoders and Large Language Models
ICML 2023
Causal Structure Learning for Latent Intervened Non-stationary Data
ICML 2023
Taxonomy-Structured Domain Adaptation
ICML 2023
Which Invariance Should We Transfer? A Causal Minimax Learning Approach
ICML 2023
Tuning Language Models as Training Data Generators for Augmentation-Enhanced Few-Shot Learning
ICML 2023
Effectively Using Public Data in Privacy Preserving Machine Learning
ICML 2023
Flash: Concept Drift Adaptation in Federated Learning
ICML 2023
HyperTuning: Toward Adapting Large Language Models without Back-propagation
ICML 2023
Test-time Adaptation with Slot-Centric Models
ICML 2023
Mastering the Unsupervised Reinforcement Learning Benchmark from Pixels
ICML 2023
Model Ratatouille: Recycling Diverse Models for Out-of-Distribution Generalization
ICML 2023
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