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
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Papers (including subtopics)
LLaVA-CoT: Let Vision Language Models Reason Step-by-Step
ICCV 2025
LLaVE: Large Language and Vision Embedding Models with Hardness-Weighted Contrastive Learning
EMNLP 2025
LLM4RSR: Large Language Models as Data Correctors for Robust Sequential Recommendation
AAAI 2025
LLM Agents for Coordinating Multi-User Information Gathering
ACL 2025
LLM-as-an-Interviewer: Beyond Static Testing Through Dynamic LLM Evaluation
ACL 2025
LLM-assisted Entropy-based Adaptive Distillation for Unsupervised Fine-grained Visual Representation Learning
ICCV 2025
LLM-based Adversarial Dataset Augmentation for Automatic Media Bias Detection
NAACL 2025
LLM-based Collaborative Agents with Pedagogy-guided Interaction Modeling for Timely Instructive Feedback Generation in Task-oriented Group Discussions
IJCAI 2025
LLM-Based Dialogue Labeling for Multiturn Adaptive RAG
EMNLP 2025
LLM-Based Multi-Agent Systems are Scalable Graph Generative Models
ACL 2025
LLM-based post-editing as reference-free GEC evaluation
ACL 2025
LLM-based Rumor Detection via Influence Guided Sample Selection and Game-based Perspective Analysis
ACL 2025
LLM Critics Help Catch Bugs in Mathematics: Towards a Better Mathematical Verifier with Natural Language Feedback
ACL 2025
LLM Dependency Parsing with In-Context Rules
ACL 2025
LLM-Driven Implicit Target Augmentation and Fine-Grained Contextual Modeling for Zero-Shot and Few-Shot Stance Detection
EMNLP 2025
LLMEmb: Large Language Model Can Be a Good Embedding Generator for Sequential Recommendation
AAAI 2025
LLM-Empowered Class Imbalanced Graph Prompt Learning for Online Drug Trafficking Detection
ACL 2025
LLM-Enhanced Query Generation and Retrieval Preservation for Task-Oriented Dialogue
ACL 2025
LLM Evaluate: An Industry-Focused Evaluation Tool for Large Language Models
COLING 2025
LLM-Forest: Ensemble Learning of LLMs with Graph-Augmented Prompts for Data Imputation
ACL 2025
LLM-Friendly Knowledge Representation for Customer Support
COLING 2025
LLM-Generated Passphrases That Are Secure and Easy to Remember
NAACL 2025
LLM-Guided Co-Training for Text Classification
EMNLP 2025
LLM-Independent Adaptive RAG: Let the Question Speak for Itself
EMNLP 2025
LLMInit: A Free Lunch from Large Language Models for Selective Initialization of Recommendation
EMNLP 2025