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Methodology
← Learning Types
Machine Learning
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Learning Types
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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
Federated Partial Label Learning with Local-Adaptive Augmentation and Regularization
AAAI 2024
Towards Model Extraction Attacks in GAN-Based Image Translation via Domain Shift Mitigation
AAAI 2024
Deep Structural Knowledge Exploitation and Synergy for Estimating Node Importance Value on Heterogeneous Information Networks
AAAI 2024
RetroOOD: Understanding Out-of-Distribution Generalization in Retrosynthesis Prediction
AAAI 2024
Multi-Domain Recommendation to Attract Users via Domain Preference Modeling
AAAI 2024
Open-Set Graph Domain Adaptation via Separate Domain Alignment
AAAI 2024
Derandomizing Multi-Distribution Learning
NIPS 2024
Pre-training Differentially Private Models with Limited Public Data
NIPS 2024
SAM Fewshot Finetuning for Anatomical Segmentation in Medical Images
WACV 2024
Homology Consistency Constrained Efficient Tuning for Vision-Language Models
NIPS 2024
Robust Object Detection in Challenging Weather Conditions
WACV 2024
Are Natural Domain Foundation Models Useful for Medical Image Classification?
WACV 2024
The Effects of Pretraining in Video-Guided Machine Translation
COLING 2024
Universal Test-Time Adaptation Through Weight Ensembling, Diversity Weighting, and Prior Correction
WACV 2024
Deep Visual-Genetic Biometrics for Taxonomic Classification of Rare Species
WACV 2024
HaGRID -- HAnd Gesture Recognition Image Dataset
WACV 2024
MutaPLM: Protein Language Modeling for Mutation Explanation and Engineering
NIPS 2024
Multilingual Diversity Improves Vision-Language Representations
NIPS 2024
Test-Time Adaptation via Style and Structure Guidance for Histological Image Registration
AAAI 2024
Contextual Pre-planning on Reward Machine Abstractions for Enhanced Transfer in Deep Reinforcement Learning
AAAI 2024
Federated Learning over Connected Modes
NIPS 2024
A Closer Look at the CLS Token for Cross-Domain Few-Shot Learning
NIPS 2024
Revisiting, Benchmarking and Understanding Unsupervised Graph Domain Adaptation
NIPS 2024
End-to-End Ontology Learning with Large Language Models
NIPS 2024
Parameter Competition Balancing for Model Merging
NIPS 2024
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