conftrace_

Learning Paradigms

14,967 papers (9 classified directly here)

Subtopics · a paper can sit in several, so these overlap

Transfer Learning (8,172) Few-Shot Learning (2,681) Meta-Learning (1,719) Federated Learning (1,560) Zero-Shot Learning (878) Continual Learning (189) Domain Adaptation (184) Self-Supervised Learning (158) Active Learning (154) Multi-Task Learning (145) Semi-Supervised Learning (86) In-Context Learning (53) Unsupervised Learning (53) Domain Generalization (26) Weakly Supervised Learning (23)

Papers per year

3

2

4

12

24

14

20

29

31

32

66

53

67

103

206

482

852

1,124

1,566

1,867

2,410

2,658

2,486

856

'5

'10

'15

'20

'25

Papers (including subtopics)

Meta Multi-Task Learning for Speech Emotion Recognition Interspeech 2020 MetaPerturb: Transferable Regularizer for Heterogeneous Tasks and Architectures NeurIPS 2020 MetaPoison: Practical General-purpose Clean-label Data Poisoning NeurIPS 2020 Meta-Q-Learning ICLR 2020 Meta-Reinforced Multi-Domain State Generator for Dialogue Systems ACL 2020 Meta Reinforcement Learning with Autonomous Inference of Subtask Dependencies ICLR 2020 MetaSDF: Meta-Learning Signed Distance Functions NeurIPS 2020 Meta Segmentation Network for Ultra-Resolution Medical Images IJCAI 2020 Meta-trained agents implement Bayes-optimal agents NeurIPS 2020 Meta-Transfer Learning for Code-Switched Speech Recognition ACL 2020 Meta-Transfer Learning for Zero-Shot Super-Resolution CVPR 2020 MineGAN: Effective Knowledge Transfer From GANs to Target Domains With Few Images CVPR 2020 Minibatch vs Local SGD for Heterogeneous Distributed Learning NeurIPS 2020 Minimax Lower Bounds for Transfer Learning with Linear and One-hidden Layer Neural Networks NeurIPS 2020 MinTL: Minimalist Transfer Learning for Task-Oriented Dialogue Systems EMNLP 2020 MIPaaL: Mixed Integer Program as a Layer AAAI 2020 M-NAS: Meta Neural Architecture Search AAAI 2020 Model-based Adversarial Meta-Reinforcement Learning NeurIPS 2020 Model-based reinforcement learning for biological sequence design ICLR 2020 Model Fusion with Kullback-Leibler Divergence ICML 2020 Modeling and Optimization Trade-off in Meta-learning NeurIPS 2020 Modeling Event Salience in Narratives via Barthes’ Cardinal Functions COLING 2020 Modeling Long Context for Task-Oriented Dialogue State Generation ACL 2020 Modeling Task Effects on Meaning Representation in the Brain via Zero-Shot MEG Prediction NeurIPS 2020 Model Selection for Production System via Automated Online Experiments NeurIPS 2020