Learning Types
56,253 papers (3 classified directly here)
Subtopics · a paper can sit in several, so these overlap
Self-Supervised Learning (8,965)
Adversarial Learning (5,204)
Unsupervised Learning (4,874)
Transfer Learning (4,808)
Weakly Supervised Learning (3,938)
Contrastive Learning (3,748)
Zero-Shot Learning (3,130)
Semi-Supervised Learning (3,128)
Reinforcement Learning (3,118)
Multi-Task Learning (2,556)
Evaluation (2,164)
Continual Learning (2,107)
Active Learning (1,983)
Few-Shot Learning (1,840)
Deep Learning (1,404)
Online Learning (1,360)
Multi-Armed Bandits (1,327)
Multimodal Learning (1,289)
Supervised Learning (986)
Multi-Agent Systems (813)
Uncertainty Quantification (805)
Causal Inference (636)
Robustness (576)
Retrieval-Augmented Generation (565)
Fine-Tuning (490)
Ensemble Learning (482)
In-Context Learning (439)
Multi-Label Classification (430)
Imitation Learning (387)
Prompt Engineering (270)
Multi-Lingual Learning (269)
Distribution Shift (264)
Reinforcement Learning from Human Feedback (209)
Regularization (207)
Exploration-Exploitation (203)
Generative Models (200)
Multi-Objective Optimization (185)
Out-of-Distribution Detection (176)
Sparse Learning (165)
Sampling (150)
Preference Learning (136)
Offline Reinforcement Learning (130)
Multi-Label Learning (128)
Markov Decision Process (127)
Neural Architecture Search (122)
Multi-Instance Learning (121)
Multi-View Learning (117)
Robust Learning (110)
Generative Model (110)
Time Series (108)
Large Language Models (104)
Exploration (103)
Hyperparameter Optimization (99)
Machine Unlearning (95)
Imbalanced Learning (93)
Machine Translation (93)
Multi-Class Classification (85)
Differential Privacy (82)
Time Series Analysis (71)
Reasoning (70)
Calibration (67)
Structure Learning (66)
Physics-Informed Learning (62)
Class Imbalance (58)
Model-Based RL (55)
Interactive Learning (55)
Multi-Domain Learning (47)
Inverse Reinforcement Learning (46)
Crowdsourcing (40)
Off-Policy Learning (38)
Label Noise (38)
Noisy Label Learning (35)
Offline RL (32)
Attention (32)
Evolutionary Algorithm (32)
Decision Making (31)
Policy Learning (30)
Personalization (28)
Low-Resource Learning (26)
Collaborative Filtering (25)
Self-Training (24)
Sequential Modeling (24)
Parameter Estimation (23)
Survival Analysis (21)
Machine Learning (20)
Parameter-Efficient Fine-Tuning (20)
Synthetic Data Generation (20)
Annotation (18)
Symbolic Regression (18)
AutoML (16)
Security (15)
Multi-Source Learning (13)
Distant Supervision (13)
Text Generation (11)
Distributional Reinforcement Learning (9)
Sentiment Analysis (9)
Multi-Hop Reasoning (9)
Language Modeling (9)
Code Generation (8)
Multi-Object Tracking (8)
Natural Language Inference (7)
Chain-of-Thought (6)
Question Answering (5)
Papers per year
1
8
12
26
18
20
135
136
147
149
220
231
316
526
460
477
660
1,314
2,083
3,689
4,652
5,914
6,826
8,201
8,755
9,258
2,019
2000
'5
'10
'15
'20
'25
Papers (including subtopics)
Knockout LLM Assessment: Using Large Language Models for Evaluations through Iterative Pairwise Comparisons
ACL 2025
KnowCoder-X: Boosting Multilingual Information Extraction via Code
ACL 2025
Knowing Before Saying: LLM Representations Encode Information About Chain-of-Thought Success Before Completion
ACL 2025
Knowledge-Aligned Counterfactual-Enhancement Diffusion Perception for Unsupervised Cross-Domain Visual Emotion Recognition
CVPR 2025
Knowledge-Augmented Question Error Correction for Chinese Question Answer System with QuestionRAG
EMNLP 2025
Knowledge Base Construction for Knowledge-Augmented Text-to-SQL
ACL 2025
Knowledge-Enhanced Hierarchical Heterogeneous Graph for Personality Identification with Limited Training Data
AAAI 2025
Knowledge Graph Entity Typing with Curriculum Contrastive Learning
COLING 2025
Knowledge Graph Pooling and Unpooling for Concept Abstraction
COLING 2025
Knowledge Graph Retrieval-Augmented Generation for LLM-based Recommendation
ACL 2025
Knowledge Graph Unlearning with Schema
COLING 2025
Knowledge-Grounded Detection of Cryptocurrency Scams with Retrieval-Augmented LMs
ACL 2025
Knowledge-Guided Domain Adaptation Model for Transferring Drug Response Prediction from Cell Lines to Patients
AAAI 2025
Knowledge-Informed Deep Learning for Irrigation Type Mapping from Remote Sensing
IJCAI 2025
Knowledge Memorization and Rumination for Pre-trained Model-based Class-Incremental Learning
CVPR 2025
Knowledge Transfer from Interaction Learning
ICCV 2025
KnowMDD: Knowledge-guided Cross Contrastive Learning for Major Depressive Disorder Diagnosis
IJCAI 2025
KnowShiftQA: How Robust are RAG Systems when Textbook Knowledge Shifts in K-12 Education?
ACL 2025
Know the Unknown: An Uncertainty-Sensitive Method for LLM Instruction Tuning
ACL 2025
Know Thyself: Validating Knowledge Awareness of LLM-based Persona Agents
NAACL 2025
Know What You do Not Know: Verbalized Uncertainty Estimation Robustness on Corrupted Images in Vision-Language Models
NAACL 2025
Know Your Attention Maps: Class-specific Token Masking for Weakly Supervised Semantic Segmentation
ICCV 2025
Know Your RAG: Dataset Taxonomy and Generation Strategies for Evaluating RAG Systems
COLING 2025
KoACD: The First Korean Adolescent Dataset for Cognitive Distortion Analysis via Role-Switching Multi-LLM Negotiation
EMNLP 2025
KOALA: Kernel Coupling and Element Imputation Induced Multi-View Clustering
AAAI 2025