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Methodology
← Learning Types
Deep Learning
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Learning Types
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Transfer Learning
2362 directly classified papers
Papers per year
2008: 1
2011: 1
2013: 6
2014: 4
2015: 11
2016: 21
2017: 48
2018: 83
2019: 184
2020: 296
2021: 309
2022: 356
2023: 320
2024: 366
2025: 348
2026: 8
Papers
SpotFake+: A Multimodal Framework for Fake News Detection via Transfer Learning (Student Abstract)
AAAI 2020
Determining the Possibility of Transfer Learning in Deep Reinforcement Learning Using Grad-CAM (Student Abstract)
AAAI 2020
Does Speech Enhancement of Publicly Available Data Help Build Robust Speech Recognition Systems? (Student Abstract)
AAAI 2020
SATNet: Symmetric Adversarial Transfer Network Based on Two-Level Alignment Strategy towards Cross-Domain Sentiment Classification (Student Abstract)
AAAI 2020
FAN-Face: a Simple Orthogonal Improvement to Deep Face Recognition
AAAI 2020
Mining on Heterogeneous Manifolds for Zero-Shot Cross-Modal Image Retrieval
AAAI 2020
Task-Aware Monocular Depth Estimation for 3D Object Detection
AAAI 2020
Learning to Transfer: Unsupervised Domain Translation via Meta-Learning
AAAI 2020
ScaleNet - Improve CNNs through Recursively Rescaling Objects
AAAI 2020
Domain Conditioned Adaptation Network
AAAI 2020
Tell Me What They're Holding: Weakly-Supervised Object Detection with Transferable Knowledge from Human-Object Interaction
AAAI 2020
Zero Shot Learning with the Isoperimetric Loss
AAAI 2020
Visual Domain Adaptation by Consensus-Based Transfer to Intermediate Domain
AAAI 2020
Incremental Multi-Domain Learning with Network Latent Tensor Factorization
AAAI 2020
Learning End-to-End Scene Flow by Distilling Single Tasks Knowledge
AAAI 2020
Exploiting Cross-Lingual Subword Similarities in Low-Resource Document Classification
AAAI 2020
Towards Making the Most of BERT in Neural Machine Translation
AAAI 2020
Latent Opinions Transfer Network for Target-Oriented Opinion Words Extraction
AAAI 2020
Importance-Aware Learning for Neural Headline Editing
AAAI 2020
Go From the General to the Particular: Multi-Domain Translation with Domain Transformation Networks
AAAI 2020
Multi-Task Self-Supervised Learning for Disfluency Detection
AAAI 2020
Bridging the Gap between Pre-Training and Fine-Tuning for End-to-End Speech Translation
AAAI 2020
Neural Machine Translation with Byte-Level Subwords
AAAI 2020
Parsing as Pretraining
AAAI 2020
A Comparison of Architectures and Pretraining Methods for Contextualized Multilingual Word Embeddings
AAAI 2020
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