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Methodology
← Learning Paradigms
Machine Learning
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Learning Paradigms
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Transfer Learning
1113 directly classified papers
Papers per year
2003: 2
2005: 1
2006: 3
2007: 6
2008: 3
2009: 1
2010: 6
2011: 7
2012: 8
2013: 19
2014: 9
2015: 6
2016: 13
2017: 41
2018: 52
2019: 74
2020: 102
2021: 120
2022: 150
2023: 151
2024: 170
2025: 160
2026: 9
Papers
Automatic Patient Note Assessment without Strong Supervision
EMNLP 2022
Zero-shot Cross-Lingual Counterfactual Detection via Automatic Extraction and Prediction of Clue Phrases
EMNLP 2022
Zero-shot Cross-Language Transfer of Monolingual Entity Linking Models
EMNLP 2022
A Weak Supervised Transfer Learning Approach for Sentiment Analysis to the Kuwaiti Dialect
EMNLP 2022
Findings of the WMT 2022 Shared Tasks in Unsupervised MT and Very Low Resource Supervised MT
EMNLP 2022
Test Time Adaptation via Conjugate Pseudo-labels
NIPS 2022
Disentangling Transfer in Continual Reinforcement Learning
NIPS 2022
Bridge the Gap Between Architecture Spaces via A Cross-Domain Predictor
NIPS 2022
Efficient learning of nonlinear prediction models with time-series privileged information
NIPS 2022
Respecting Transfer Gap in Knowledge Distillation
NIPS 2022
Continual learning: a feature extraction formalization, an efficient algorithm, and fundamental obstructions
NIPS 2022
Hub-Pathway: Transfer Learning from A Hub of Pre-trained Models
NIPS 2022
Real-Valued Backpropagation is Unsuitable for Complex-Valued Neural Networks
NIPS 2022
Transfer Learning and Masked Generation for Answer Verbalization
NAACL 2022
Knowledge Transfer between Structured and Unstructured Sources for Complex Question Answering
NAACL 2022
For high-dimensional hierarchical models, consider exchangeability of effects across covariates instead of across datasets
NIPS 2021
Why Do Pretrained Language Models Help in Downstream Tasks? An Analysis of Head and Prompt Tuning
NIPS 2021
An Efficient Transfer Learning Framework for Multiagent Reinforcement Learning
NIPS 2021
Exploiting a Zoo of Checkpoints for Unseen Tasks
NIPS 2021
Towards Open-World Feature Extrapolation: An Inductive Graph Learning Approach
NIPS 2021
How to transfer algorithmic reasoning knowledge to learn new algorithms?
NIPS 2021
Transfer Learning of Engagement Recognition within Robot-Assisted Therapy for Children with Autism
AAAI 2021
Representing the Unification of Text Featurization using a Context-Free Grammar
AAAI 2021
Latent Independent Excitation for Generalizable Sensor-based Cross-Person Activity Recognition
AAAI 2021
Low-Fidelity Video Encoder Optimization for Temporal Action Localization
NIPS 2021
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