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)
A Three-Tier LLM Framework for Forecasting Student Engagement from Qualitative Longitudinal Data
CoNLL 2025
ATLANTIS at SemEval-2025 Task 3 : Detecting Hallucinated Text Spans in Question Answering
SemEval 2025
ATLANTIS: Weak-to-Strong Learning via Importance Sampling
ACL 2025
Atomas: Hierarchical Adaptive Alignment on Molecule-Text for Unified Molecule Understanding and Generation
ICLR 2025
AtomSurf: Surface Representation for Learning on Protein Structures
ICLR 2025
A transfer learning framework for weak to strong generalization
ICLR 2025
Attend and Enrich: Enhanced Visual Prompt for Zero-Shot Learning
AAAI 2025
Attention Bootstrapping for Multi-Modal Test-Time Adaptation
AAAI 2025
Attention to Trajectory: Trajectory-Aware Open-Vocabulary Tracking
ICCV 2025
Attraction Diminishing and Distributing for Few-Shot Class-Incremental Learning
CVPR 2025
Attribute-based Visual Reprogramming for Vision-Language Models
ICLR 2025
Attribute-formed Class-specific Concept Space: Endowing Language Bottleneck Model with Better Interpretability and Scalability
CVPR 2025
Attribute Inference Attacks for Federated Regression Tasks
AAAI 2025
Attributes as Textual Genes: Leveraging LLMs as Genetic Algorithm Simulators for Conditional Synthetic Data Generation
EMNLP 2025
Augmenting Math Word Problems via Iterative Question Composing
AAAI 2025
A Unified Framework for Human-Allied Learning of Probabilistic Circuits
AAAI 2025
A Unified Theory of Quantum Neural Network Loss Landscapes
ICLR 2025
Autocorrelation Matters: Understanding the Role of Initialization Schemes for State Space Models
ICLR 2025
Auto-Cypher: Improving LLMs on Cypher generation via LLM-supervised generation-verification framework
NAACL 2025
Auto Encoding Neural Process for Multi-interest Recommendation
AAAI 2025
AutoGUI: Scaling GUI Grounding with Automatic Functionality Annotations from LLMs
ACL 2025
AutoKB: Automated Creation of Structured Knowledge Bases for Domain-Specific Support
NAACL 2025
Automated Design of Agentic Systems
ICLR 2025
Automated Proof Generation for Rust Code via Self-Evolution
ICLR 2025
Automate Strategy Finding with LLM in Quant Investment
EMNLP 2025