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Learning Paradigms

14,108 papers (9 classified directly here)

Subtopics

Transfer Learning (8,166) Few-Shot Learning (2,562) Meta-Learning (1,529) Federated Learning (1,360) Zero-Shot Learning (867) Multi-Task Learning (135) Continual Learning (118) Domain Adaptation (117) Self-Supervised Learning (100) Active Learning (75) Semi-Supervised Learning (41) Unsupervised Learning (26) In-Context Learning (19) Weakly Supervised Learning (11) Domain Generalization (9)

Papers per year

4
19
58
1128
2227
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Papers (including subtopics)

Cross-domain Semantic Parsing via Paraphrasing EMNLP 2017
A Joint Many-Task Model: Growing a Neural Network for Multiple NLP Tasks EMNLP 2017
Using Context Information for Dialog Act Classification in DNN Framework EMNLP 2017
A Challenge Set Approach to Evaluating Machine Translation EMNLP 2017
Knowledge Distillation for Bilingual Dictionary Induction EMNLP 2017
Cross-Lingual Induction and Transfer of Verb Classes Based on Word Vector Space Specialisation EMNLP 2017
Classification of telicity using cross-linguistic annotation projection EMNLP 2017
Identifying Products in Online Cybercrime Marketplaces: A Dataset for Fine-grained Domain Adaptation EMNLP 2017
NITE: A Neural Inductive Teaching Framework for Domain Specific NER EMNLP 2017
Word Etymology as Native Language Interference EMNLP 2017
Cross-Lingual Transfer Learning for POS Tagging without Cross-Lingual Resources EMNLP 2017
Deep Multi-Task Learning for Aspect Term Extraction with Memory Interaction EMNLP 2017
Learning Algorithms for Active Learning ICML 2017
Neural Optimizer Search with Reinforcement Learning ICML 2017
Learning to Learn without Gradient Descent by Gradient Descent ICML 2017
AdaNet: Adaptive Structural Learning of Artificial Neural Networks ICML 2017
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks ICML 2017
Counterfactual Data-Fusion for Online Reinforcement Learners ICML 2017
DARLA: Improving Zero-Shot Transfer in Reinforcement Learning ICML 2017
Bayesian Optimization with Tree-structured Dependencies ICML 2017
Iterative Machine Teaching ICML 2017
Deep Transfer Learning with Joint Adaptation Networks ICML 2017
Risk Bounds for Transferring Representations With and Without Fine-Tuning ICML 2017
Meta Networks ICML 2017
Asynchronous Distributed Variational Gaussian Process for Regression ICML 2017