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 Learning for Traffic Navigation in Congested Networks
ALT 2023
Online Prototype Alignment for Few-shot Policy Transfer
ICML 2023
Online Prototype Learning for Online Continual Learning
ICCV 2023
Online Punctuation Restoration using ELECTRA Model for streaming ASR Systems
Interspeech 2023
On Penalty-based Bilevel Gradient Descent Method
ICML 2023
On Prefix-tuning for Lightweight Out-of-distribution Detection
ACL 2023
On Second Thought, Let’s Not Think Step by Step! Bias and Toxicity in Zero-Shot Reasoning
ACL 2023
On the Compositional Generalization in Versatile Open-domain Dialogue
ACL 2023
On the Constrained Time-Series Generation Problem
NeurIPS 2023
On the Convergence of Federated Averaging with Cyclic Client Participation
ICML 2023
On the Effectiveness of Parameter-Efficient Fine-Tuning
AAAI 2023
On the Effectiveness of Partial Variance Reduction in Federated Learning With Heterogeneous Data
CVPR 2023
On the Feasibility of Cross-Task Transfer with Model-Based Reinforcement Learning
ICLR 2023
On-the-Fly Adapting Code Summarization on Trainable Cost-Effective Language Models
NeurIPS 2023
On-the-Fly Test-time Adaptation for Medical Image Segmentation
MIDL 2023
On the Importance and Applicability of Pre-Training for Federated Learning
ICLR 2023
On the informativeness of supervision signals
UAI 2023
On the Nature of Discrete Speech Representations in Multilingual Self-supervised Models
EACL 2023
On the Off-Target Problem of Zero-Shot Multilingual Neural Machine Translation
ACL 2023
On the Potential and Limitations of Few-Shot In-Context Learning to Generate Metamorphic Specifications for Tax Preparation Software
EMNLP 2023
On the Power of Pre-training for Generalization in RL: Provable Benefits and Hardness
ICML 2023
On the Relation between Sensitivity and Accuracy in In-Context Learning
EMNLP 2023
On the Role of Entanglement and Statistics in Learning
NeurIPS 2023
On the Role of Parallel Data in Cross-lingual Transfer Learning
ACL 2023
On the Soft-Subnetwork for Few-Shot Class Incremental Learning
ICLR 2023