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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
Neural Semantic Parsing in Low-Resource Settings with Back-Translation and Meta-Learning
AAAI 2020
Evaluating the Cross-Lingual Effectiveness of Massively Multilingual Neural Machine Translation
AAAI 2020
WinoGrande: An Adversarial Winograd Schema Challenge at Scale
AAAI 2020
Robust Named Entity Recognition with Truecasing Pretraining
AAAI 2020
Joint Training with Semantic Role Labeling for Better Generalization in Natural Language Inference
ACL 2020
ManyModalQA: Modality Disambiguation and QA over Diverse Inputs
AAAI 2020
Fine-Tuning by Curriculum Learning for Non-Autoregressive Neural Machine Translation
AAAI 2020
TANDA: Transfer and Adapt Pre-Trained Transformer Models for Answer Sentence Selection
AAAI 2020
Cross-Lingual Natural Language Generation via Pre-Training
AAAI 2020
Generating Diverse Translations via Weighted Fine-tuning and Hypotheses Filtering for the Duolingo STAPLE Task
ACL 2020
Intermediate-Task Transfer Learning with Pretrained Language Models: When and Why Does It Work?
ACL 2020
Graph Few-Shot Learning via Knowledge Transfer
AAAI 2020
Meta-Amortized Variational Inference and Learning
AAAI 2020
To Pretrain or Not to Pretrain: Examining the Benefits of Pretrainng on Resource Rich Tasks
ACL 2020
Learning Efficient Representations for Fake Speech Detection
AAAI 2020
Residual Continual Learning
AAAI 2020
End-to-End Neural Pipeline for Goal-Oriented Dialogue Systems using GPT-2
ACL 2020
Towards Oracle Knowledge Distillation with Neural Architecture Search
AAAI 2020
Representation Learning with Multiple Lipschitz-Constrained Alignments on Partially-Labeled Cross-Domain Data
AAAI 2020
Commonsense Knowledge Base Completion with Structural and Semantic Context
AAAI 2020
Lightweight and Robust Representation of Economic Scales from Satellite Imagery
AAAI 2020
On Warm-Starting Neural Network Training
NIPS 2020
3D-RADNet: Extracting labels from DICOM metadata for training general medical domain deep 3D convolution neural networks
MIDL 2020
Unsupervised Vehicle Re-identification with Progressive Adaptation
IJCAI 2020
Cross-Lingual Low-Resource Set-to-Description Retrieval for Global E-Commerce
AAAI 2020
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