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)
Few-Shot Multimodal Named Entity Recognition Based on Mutlimodal Causal Intervention Graph
COLING 2024
Few-shot Named Entity Recognition via Superposition Concept Discrimination
COLING 2024
Few-Shot Neural Radiance Fields under Unconstrained Illumination
AAAI 2024
Few-Shot Object Detection with Foundation Models
CVPR 2024
Few-Shot Semantic Dependency Parsing via Graph Contrastive Learning
COLING 2024
Few-shot Transfer Learning for Knowledge Base Question Answering: Fusing Supervised Models with In-Context Learning
ACL 2024
FIARSE: Model-Heterogeneous Federated Learning via Importance-Aware Submodel Extraction
NeurIPS 2024
Findings of the Second BabyLM Challenge: Sample-Efficient Pretraining on Developmentally Plausible Corpora
CoNLL 2024
Findings of the WMT 2024 Shared Task of the Open Language Data Initiative
EMNLP 2024
FineFMPL: Fine-grained Feature Mining Prompt Learning for Few-Shot Class Incremental Learning
IJCAI 2024
Fine-grained Analysis of In-context Linear Estimation: Data, Architecture, and Beyond
NeurIPS 2024
Fine-grained Image-to-LiDAR Contrastive Distillation with Visual Foundation Models
NeurIPS 2024
Fine-Grained Legal Argument-Pair Extraction via Coarse-Grained Pre-training
COLING 2024
Fine-Grained Prototypes Distillation for Few-Shot Object Detection
AAAI 2024
Fine-tune Pre-Trained Models with Multi-Level Feature Fusion for Speaker Verification
Interspeech 2024
Fine-Tuning and Prompt Optimization: Two Great Steps that Work Better Together
EMNLP 2024
Fine-Tuning Automatic Speech Recognition for People with Parkinson's: An Effective Strategy for Enhancing Speech Technology Accessibility
Interspeech 2024
Fine-tuning Language Models for Joint Rewriting and Completion of Code with Potential Bugs
ACL 2024
Fine-tuning Language Models for Predicting the Impact of Events Associated to Financial News Articles
COLING 2024
Fine-Tuning Language Models on Multiple Datasets for Citation Intention Classification
EMNLP 2024
Fine-Tuning Large Vision-Language Models as Decision-Making Agents via Reinforcement Learning
NeurIPS 2024
Finetuning LLMs for Automatic Concept to TTI Prompt Generation (Student Abstract)
AAAI 2024
Fine-Tuning Open Access LLMs for High-Precision NLU in Goal-Driven Dialog Systems
COLING 2024
Fine-Tuning Personalization in Federated Learning to Mitigate Adversarial Clients
NeurIPS 2024
Fine-tuning Pre-trained Models for Robustness under Noisy Labels
IJCAI 2024