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
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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
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Papers (including subtopics)
Cross-type French Multiword Expression Identification with Pre-trained Masked Language Models
COLING 2024
CryptoTrade: A Reflective LLM-based Agent to Guide Zero-shot Cryptocurrency Trading
EMNLP 2024
CSSWiki: A Chinese Sentence Simplification Dataset with Linguistic and Content Operations
COLING 2024
CTYUN-AI at SemEval-2024 Task 7: Boosting Numerical Understanding with Limited Data Through Effective Data Alignment
SemEval 2024
CultureBank: An Online Community-Driven Knowledge Base Towards Culturally Aware Language Technologies
EMNLP 2024
CultureLLM: Incorporating Cultural Differences into Large Language Models
NeurIPS 2024
Customizable Combination of Parameter-Efficient Modules for Multi-Task Learning
ICLR 2024
CWTM: Leveraging Contextualized Word Embeddings from BERT for Neural Topic Modeling
COLING 2024
CyberDemo: Augmenting Simulated Human Demonstration for Real-World Dexterous Manipulation
CVPR 2024
Cycle Consistency Driven Object Discovery
ICLR 2024
CycleGN: A Cycle Consistent Approach for Neural Machine Translation
EMNLP 2024
Cycle Self-Refinement for Multi-Source Domain Adaptation
AAAI 2024
Czech Dataset for Complex Aspect-Based Sentiment Analysis Tasks
COLING 2024
D2R2: Diffusion-based Representation with Random Distance Matching for Tabular Few-shot Learning
NeurIPS 2024
D^4: Dataset Distillation via Disentangled Diffusion Model
CVPR 2024
DA-Ada: Learning Domain-Aware Adapter for Domain Adaptive Object Detection
NeurIPS 2024
DAdEE: Unsupervised Domain Adaptation in Early Exit PLMs
EMNLP 2024
DAM: Towards a Foundation Model for Forecasting
ICLR 2024
DA-Net: A Disentangled and Adaptive Network for Multi-Source Cross-Lingual Transfer Learning
AAAI 2024
DapperFL: Domain Adaptive Federated Learning with Model Fusion Pruning for Edge Devices
NeurIPS 2024
DarkFed: A Data-Free Backdoor Attack in Federated Learning
IJCAI 2024
DART-Eval: A Comprehensive DNA Language Model Evaluation Benchmark on Regulatory DNA
NeurIPS 2024
DART-Math: Difficulty-Aware Rejection Tuning for Mathematical Problem-Solving
NeurIPS 2024
Data Acquisition via Experimental Design for Data Markets
NeurIPS 2024
Data curation via joint example selection further accelerates multimodal learning
NeurIPS 2024