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Methodology
← Learning Types
Machine Learning
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Transfer Learning
3884 directly classified 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
S$^{2}$FT: Efficient, Scalable and Generalizable LLM Fine-tuning by Structured Sparsity
NIPS 2024
Reprogramming Pretrained Target-Specific Diffusion Models for Dual-Target Drug Design
NIPS 2024
Towards Model Extraction Attacks in GAN-Based Image Translation via Domain Shift Mitigation
AAAI 2024
Relative Policy-Transition Optimization for Fast Policy Transfer
AAAI 2024
Federated Partial Label Learning with Local-Adaptive Augmentation and Regularization
AAAI 2024
Transfer Learning for Latent Variable Network Models
NIPS 2024
Decoupled Training: Return of Frustratingly Easy Multi-Domain Learning
AAAI 2024
Exploring Sparse Visual Prompt for Domain Adaptive Dense Prediction
AAAI 2024
Contextual Pre-planning on Reward Machine Abstractions for Enhanced Transfer in Deep Reinforcement Learning
AAAI 2024
On Disentanglement of Asymmetrical Knowledge Transfer for Modality-Task Agnostic Federated Learning
AAAI 2024
Aggregate-and-Adapt Natural Language Prompts for Downstream Generalization of CLIP
NIPS 2024
Open-Set Graph Domain Adaptation via Separate Domain Alignment
AAAI 2024
Towards Making Learnware Specification and Market Evolvable
AAAI 2024
A Transfer Approach Using Graph Neural Networks in Deep Reinforcement Learning
AAAI 2024
RetroOOD: Understanding Out-of-Distribution Generalization in Retrosynthesis Prediction
AAAI 2024
Test-Time Adaptation via Style and Structure Guidance for Histological Image Registration
AAAI 2024
Deep Structural Knowledge Exploitation and Synergy for Estimating Node Importance Value on Heterogeneous Information Networks
AAAI 2024
Multi-language Diversity Benefits Autoformalization
NIPS 2024
Universal Test-Time Adaptation Through Weight Ensembling, Diversity Weighting, and Prior Correction
WACV 2024
Reference Trustable Decoding: A Training-Free Augmentation Paradigm for Large Language Models
NIPS 2024
Reawakening knowledge: Anticipatory recovery from catastrophic interference via structured training
NIPS 2024
Multi-Domain Recommendation to Attract Users via Domain Preference Modeling
AAAI 2024
Leveraging Normalization Layer in Adapters with Progressive Learning and Adaptive Distillation for Cross-Domain Few-Shot Learning
AAAI 2024
Enrolment-based personalisation for improving individual-level fairness in speech emotion recognition
INTERSPEECH 2024
Bridging Emotions Across Languages: Low Rank Adaptation for Multilingual Speech Emotion Recognition
INTERSPEECH 2024
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