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)
SegGPT: Towards Segmenting Everything in Context
ICCV 2023
Segment Everything Everywhere All at Once
NeurIPS 2023
SegPrompt: Using Segmentation Map as a Better Prompt to Finetune Deep Models for Kidney Stone Classification
MIDL 2023
SegRCDB: Semantic Segmentation via Formula-Driven Supervised Learning
ICCV 2023
Selective Annotation Makes Language Models Better Few-Shot Learners
ICLR 2023
Selective In-Context Data Augmentation for Intent Detection using Pointwise V-Information
EACL 2023
Selective Labeling: How to Radically Lower Data-Labeling Costs for Document Extraction Models
EMNLP 2023
Selective Sampling and Imitation Learning via Online Regression
NeurIPS 2023
Selectivity Drives Productivity: Efficient Dataset Pruning for Enhanced Transfer Learning
NeurIPS 2023
SelectNoise: Unsupervised Noise Injection to Enable Zero-Shot Machine Translation for Extremely Low-resource Languages
EMNLP 2023
Self-Attention Message Passing for Contrastive Few-Shot Learning
WACV 2023
Self-Calibrated Cross Attention Network for Few-Shot Segmentation
ICCV 2023
Self-Correctable and Adaptable Inference for Generalizable Human Pose Estimation
CVPR 2023
Self-Correcting Bayesian Optimization through Bayesian Active Learning
NeurIPS 2023
Self-Directed Linear Classification
COLT 2023
Self-Evaluation Guided Beam Search for Reasoning
NeurIPS 2023
Self-Evolution Learning for Mixup: Enhance Data Augmentation on Few-Shot Text Classification Tasks
EMNLP 2023
Self-Guided Noise-Free Data Generation for Efficient Zero-Shot Learning
ICLR 2023
Self-Instruct: Aligning Language Models with Self-Generated Instructions
ACL 2023
SelfME: Self-Supervised Motion Learning for Micro-Expression Recognition
CVPR 2023
Self-Paced Pattern Augmentation for Spoken Term Detection in Zero-Resource
Interspeech 2023
Self-regulating Prompts: Foundational Model Adaptation without Forgetting
ICCV 2023
Self-Supervised CSF Inpainting for Improved Accuracy Validation of Cortical Surface Analyses
MIDL 2023
Self-supervised Graph Disentangled Networks for Review-based Recommendation
IJCAI 2023
Self-Supervised Implicit Glyph Attention for Text Recognition
CVPR 2023