Research Explorer
Papers
Trends
Conferences
Explore
Authors
Topics
Keywords
Papers
Trends
Conferences
Explore
Authors
Topics
Keywords
Achievements
About
Methodology
← Learning Types
Machine Learning
›
Learning Types
›
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
Scalable Early Childhood Reading Performance Prediction
NIPS 2024
Decoupled Vocabulary Learning Enables Zero-Shot Translation from Unseen Languages
ACL 2024
Domain-Aware Fine-Tuning: Enhancing Neural Network Adaptability
AAAI 2024
G-Adapter: Towards Structure-Aware Parameter-Efficient Transfer Learning for Graph Transformer Networks
AAAI 2024
Pushing the Limit of Fine-Tuning for Few-Shot Learning: Where Feature Reusing Meets Cross-Scale Attention
AAAI 2024
Mixup-Induced Domain Extrapolation for Domain Generalization
AAAI 2024
Detecting and Measuring Confounding Using Causal Mechanism Shifts
NIPS 2024
Transfer and Alignment Network for Generalized Category Discovery
AAAI 2024
Improving Transferability for Cross-Domain Trajectory Prediction via Neural Stochastic Differential Equation
AAAI 2024
Empowering Dual-Level Graph Self-Supervised Pretraining with Motif Discovery
AAAI 2024
KG-TREAT: Pre-training for Treatment Effect Estimation by Synergizing Patient Data with Knowledge Graphs
AAAI 2024
Gradient Rewiring for Editable Graph Neural Network Training
NIPS 2024
ARL2: Aligning Retrievers with Black-box Large Language Models via Self-guided Adaptive Relevance Labeling
ACL 2024
Zero-1-to-3: Domain-Level Zero-Shot Cognitive Diagnosis via One Batch of Early-Bird Students towards Three Diagnostic Objectives
AAAI 2024
Bayesian Domain Adaptation with Gaussian Mixture Domain-Indexing
NIPS 2024
Orthogonal Adaptation for Modular Customization of Diffusion Models
CVPR 2024
Induced Model Matching: Restricted Models Help Train Full-Featured Models
NIPS 2024
ODRL: A Benchmark for Off-Dynamics Reinforcement Learning
NIPS 2024
Concentrate Attention: Towards Domain-Generalizable Prompt Optimization for Language Models
NIPS 2024
Pre-trained Text-to-Image Diffusion Models Are Versatile Representation Learners for Control
NIPS 2024
Enhancing Distributional Stability among Sub-populations
AISTATS 2024
Towards Robust and Generalized Parameter-Efficient Fine-Tuning for Noisy Label Learning
ACL 2024
Translation-based Lexicalization Generation and Lexical Gap Detection: Application to Kinship Terms
ACL 2024
UltraLink: An Open-Source Knowledge-Enhanced Multilingual Supervised Fine-tuning Dataset
ACL 2024
Aligning Translation-Specific Understanding to General Understanding in Large Language Models
EMNLP 2024
<
1
…
45
46
47
…
156
>