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)
Preserving Commonsense Knowledge from Pre-trained Language Models via Causal Inference
ACL 2023
Pretrained Bidirectional Distillation for Machine Translation
ACL 2023
Pretrained Language Models v. Court Ruling Predictions: A Case Study on a Small Dataset of French Court of Appeal Rulings
EMNLP 2023
Pre-training Contextualized World Models with In-the-wild Videos for Reinforcement Learning
NeurIPS 2023
Pre-Training for Robots: Offline RL Enables Learning New Tasks in a Handful of Trials
RSS 2023
Pre-training Multi-party Dialogue Models with Latent Discourse Inference
ACL 2023
Pre-Training to Learn in Context
ACL 2023
Pre-training with Scientific Text Improves Educational Question Generation (Student Abstract)
AAAI 2023
Preventing Zero-Shot Transfer Degradation in Continual Learning of Vision-Language Models
ICCV 2023
Principled Acceleration of Iterative Numerical Methods Using Machine Learning
ICML 2023
Principled Offline RL in the Presence of Rich Exogenous Information
ICML 2023
Principle-Driven Self-Alignment of Language Models from Scratch with Minimal Human Supervision
NeurIPS 2023
PRIOR: Personalized Prior for Reactivating the Information Overlooked in Federated Learning.
NeurIPS 2023
Priors, Hierarchy, and Information Asymmetry for Skill Transfer in Reinforcement Learning
ICLR 2023
Privacy Amplification via Compression: Achieving the Optimal Privacy-Accuracy-Communication Trade-off in Distributed Mean Estimation
NeurIPS 2023
Privacy-Aware Compression for Federated Learning Through Numerical Mechanism Design
ICML 2023
Privacy-Preserving Domain Adaptation of Semantic Parsers
ACL 2023
Privacy-Preserving Natural Language Processing
EACL 2023
Privacy-preserving patient clustering for personalized federated learnings
MLHC 2023
Private Federated Learning with Autotuned Compression
ICML 2023
Private Federated Learning Without a Trusted Server: Optimal Algorithms for Convex Losses
ICLR 2023
Private Non-Convex Federated Learning Without a Trusted Server
AISTATS 2023
Probabilistic Triangulation for Uncalibrated Multi-View 3D Human Pose Estimation
ICCV 2023
Probing Out-of-Distribution Robustness of Language Models with Parameter-Efficient Transfer Learning
ACL 2023
Probing Sentiment-Oriented Pre-Training Inspired by Human Sentiment Perception Mechanism
CVPR 2023