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)
PPT: Pre-trained Prompt Tuning for Few-shot Learning
ACL 2022
Practical Conditional Neural Process Via Tractable Dependent Predictions
ICLR 2022
Pragmatically Learning from Pedagogical Demonstrations in Multi-Goal Environments
NeurIPS 2022
PRECODE - A Generic Model Extension To Prevent Deep Gradient Leakage
WACV 2022
Predicting Prerequisite Relations for Unseen Concepts
EMNLP 2022
Predicting RNA Mutation Effects through Machine Learning of High-Throughput Ribozyme Experiments (Student Abstract)
AAAI 2022
Preparing High School Teachers to Integrate AI Methods into STEM Classrooms
AAAI 2022
Preservation of the Global Knowledge by Not-True Distillation in Federated Learning
NeurIPS 2022
Pretrained Language Model in Continual Learning: A Comparative Study
ICLR 2022
Pre-Trained Model Reusability Evaluation for Small-Data Transfer Learning
NeurIPS 2022
Pre-training Data Quality and Quantity for a Low-Resource Language: New Corpus and BERT Models for Maltese
NAACL 2022
Pre-training to Match for Unified Low-shot Relation Extraction
ACL 2022
Pre-Train Your Loss: Easy Bayesian Transfer Learning with Informative Priors
NeurIPS 2022
Prior Adaptive Semi-supervised Learning with Application to EHR Phenotyping
JMLR 2022
Prior-Guided Transfer Learning for Enhancing Item Representation in E-commerce
AAAI 2022
Prioritized Training on Points that are Learnable, Worth Learning, and not yet Learnt
ICML 2022
PRISM: Pre-trained Indeterminate Speaker Representation Model for Speaker Diarization and Speaker Verification
Interspeech 2022
Privacy Amplification by Decentralization
AISTATS 2022
Privacy Amplification via Shuffling for Linear Contextual Bandits
ALT 2022
Privacy-aware compression for federated data analysis
UAI 2022
Privacy-Preserving Models for Legal Natural Language Processing
EMNLP 2022
Private and Communication-Efficient Algorithms for Entropy Estimation
NeurIPS 2022
Private Semi-Supervised Federated Learning
IJCAI 2022
Probabilistic Fusion of Neural Networks that
Incorporates Global Information
ACML 2022
Probabilistic surrogate networks for simulators with unbounded randomness
UAI 2022