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)
Group-wise oracle-efficient algorithms for online multi-group learning
NeurIPS 2024
GV-Rep: A Large-Scale Dataset for Genetic Variant Representation Learning
NeurIPS 2024
Habitus: Boosting Mobile Immersive Content Delivery through Full-body Pose Tracking and Multipath Networking
NSDI 2024
Hacking Task Confounder in Meta-Learning
IJCAI 2024
Handling Learnwares from Heterogeneous Feature Spaces with Explicit Label Exploitation
NeurIPS 2024
Happy: A Debiased Learning Framework for Continual Generalized Category Discovery
NeurIPS 2024
Hard Prompts Made Interpretable: Sparse Entropy Regularization for Prompt Tuning with RL
ACL 2024
Harnessing Large Language Models as Post-hoc Correctors
ACL 2024
Harnessing Meta-Learning for Improving Full-Frame Video Stabilization
CVPR 2024
Harnessing the Power of Large Language Model for Uncertainty Aware Graph Processing
COLING 2024
Harnessing the Power of Large Language Models for Natural Language to First-Order Logic Translation
ACL 2024
Harnessing the Power of MLLMs for Transferable Text-to-Image Person ReID
CVPR 2024
HateCOT: An Explanation-Enhanced Dataset for Generalizable Offensive Speech Detection via Large Language Models
EMNLP 2024
HausaHate: An Expert Annotated Corpus for Hausa Hate Speech Detection
NAACL 2024
HBUT at #SMM4H 2024 Task1: Extraction and Normalization of Adverse Drug Events with a Large Language Model
ACL 2024
HBUT at #SMM4H 2024 Task2: Cross-lingual Few-shot Medical Entity Extraction using a Large Language Model
ACL 2024
HELA-VFA: A Hellinger Distance-Attention-Based Feature Aggregation Network for Few-Shot Classification
WACV 2024
Heterogeneity-aware Clustered Distributed Learning for Multi-source Data Analysis
JMLR 2024
Heterogeneity-Guided Client Sampling: Towards Fast and Efficient Non-IID Federated Learning
NeurIPS 2024
Heterogeneous LoRA for Federated Fine-tuning of On-Device Foundation Models
EMNLP 2024
Heterogeneous Personalized Federated Learning by Local-Global Updates Mixing via Convergence Rate
ICLR 2024
Heterogeneous Test-Time Training for Multi-Modal Person Re-identification
AAAI 2024
HGPrompt: Bridging Homogeneous and Heterogeneous Graphs for Few-Shot Prompt Learning
AAAI 2024
Hidetsune at SemEval-2024 Task 3: A Simple Textual Approach to Emotion Classification and Emotion Cause Analysis in Conversations Using Machine Learning and Next Sentence Prediction
SemEval 2024
Hiding in Plain Sight: Disguising Data Stealing Attacks in Federated Learning
ICLR 2024