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
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'25
Papers (including subtopics)
Communication-Constrained Distributed Quantile Regression with Optimal Statistical Guarantees
JMLR 2022
Communication-Efficient Adaptive Federated Learning
ICML 2022
Communication-efficient distributed eigenspace estimation with arbitrary node failures
NeurIPS 2022
Communication Efficient Distributed Learning for Kernelized Contextual Bandits
NeurIPS 2022
Communication Efficient Federated Learning for Generalized Linear Bandits
NeurIPS 2022
Comparing Encoder-Only and Encoder-Decoder Transformers for Relation Extraction from Biomedical Texts: An Empirical Study on Ten Benchmark Datasets
ACL 2022
Composable Sparse Fine-Tuning for Cross-Lingual Transfer
ACL 2022
Compressed-VFL: Communication-Efficient Learning with Vertically Partitioned Data
ICML 2022
Computationally Identifying Funneling and Focusing Questions in Classroom Discourse
NAACL 2022
Conditional Collaborative Filtering Process for Top-K Recommender System (Student Abstract)
AAAI 2022
Conditional Meta-Learning of Linear Representations
NeurIPS 2022
ConFeSS: A Framework for Single Source Cross-Domain Few-Shot Learning
ICLR 2022
Confidence Based Bidirectional Global Context Aware Training Framework for Neural Machine Translation
ACL 2022
ConGen: Unsupervised Control and Generalization Distillation For Sentence Representation
EMNLP 2022
ConsistTL: Modeling Consistency in Transfer Learning for Low-Resource Neural Machine Translation
EMNLP 2022
Constrained Density Matching and Modeling for
Cross-lingual Alignment of Contextualized
Representations
ACML 2022
Constrained Few-Shot Class-Incremental Learning
CVPR 2022
Constrained Multi-Task Learning for Bridging Resolution
ACL 2022
CoNTACT: A Dutch COVID-19 Adapted BERT for Vaccine Hesitancy and Argumentation Detection
COLING 2022
Context-Aware Language Modeling for Goal-Oriented Dialogue Systems
NAACL 2022
Contextual Gradient Scaling for Few-Shot Learning
WACV 2022
Context Uncertainty in Contextual Bandits with Applications to Recommender Systems
AAAI 2022
ConTinTin: Continual Learning from Task Instructions
ACL 2022
Continual Federated Learning Based on Knowledge Distillation
IJCAI 2022
Continual Learning In Environments With Polynomial Mixing Times
NeurIPS 2022