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)
Online Continual Learning for Interactive Instruction Following Agents
ICLR 2024
Online Transfer and Adaptation of Tactile Skill: A Teleoperation Framework
CoRL 2024
On Sensitivity of Learning with Limited Labelled Data to the Effects of Randomness: Impact of Interactions and Systematic Choices
EMNLP 2024
On task-relevant loss functions in meta-reinforcement learning
L4DC 2024
On the Benefits of Public Representations for Private Transfer Learning under Distribution Shift
NeurIPS 2024
On the Complexity of Teaching a Family of Linear Behavior Cloning Learners
NeurIPS 2024
On the Convergence of Hierarchical Federated Learning with Partial Worker Participation
UAI 2024
On the Effectiveness of Supervision in Asymmetric Non-Contrastive Learning
ICML 2024
On the Emergence of Cross-Task Linearity in Pretraining-Finetuning Paradigm
ICML 2024
On-the-fly Definition Augmentation of LLMs for Biomedical NER
NAACL 2024
On the Fragility of Active Learners for Text Classification
EMNLP 2024
On the Generalization Ability of Unsupervised Pretraining
AISTATS 2024
On the Identifiability of Hybrid Deep Generative Models: Meta-Learning as a Solution
NeurIPS 2024
On the In-context Generation of Language Models
EMNLP 2024
On the Limits of Multi-modal Meta-Learning with Auxiliary Task Modulation Using Conditional Batch Normalization
NAACL 2024
On the Performance of Empirical Risk Minimization with Smoothed Data
COLT 2024
On the Stability and Generalization of Meta-Learning
NeurIPS 2024
On Training Data Influence of GPT Models
EMNLP 2024
OpenChat: Advancing Open-source Language Models with Mixed-Quality Data
ICLR 2024
OpenDlign: Open-World Point Cloud Understanding with Depth-Aligned Images
NeurIPS 2024
OpenFMNav: Towards Open-Set Zero-Shot Object Navigation via Vision-Language Foundation Models
NAACL 2024
OpenGraph: Towards Open Graph Foundation Models
EMNLP 2024
OpenSep: Leveraging Large Language Models with Textual Inversion for Open World Audio Separation
EMNLP 2024
Open-World Semantic Segmentation Including Class Similarity
CVPR 2024
Operator World Models for Reinforcement Learning
NeurIPS 2024