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)
Automatic Text Segmentation of Ancient and Historic Hebrew
NAACL 2025
Automating Alternative Generation in Decision-Making
EMNLP 2025
Automating Annotation Guideline Improvements using LLMs: A Case Study
COLING 2025
AutoMixAlign: Adaptive Data Mixing for Multi-Task Preference Optimization in LLMs
ACL 2025
AutoMixer: Checkpoint Artifacts as Automatic Data Mixers
ACL 2025
Automotive Document Labeling Using Large Language Models
EMNLP 2025
AutoMV: An Autonomous Agent Framework for Real Estate Marketing Video Generation
AAAI 2025
Autonomous Data Selection with Zero-shot Generative Classifiers for Mathematical Texts
ACL 2025
Autonomous Goal Detection and Cessation in Reinforcement Learning: A Case Study on Source Term Estimation
AAAI 2025
Autonomous LLM-Enhanced Adversarial Attack for Text-to-Motion
AAAI 2025
Autonomous Option Invention for Continual Hierarchical Reinforcement Learning and Planning
AAAI 2025
AutoPrompt: Automated Red-Teaming of Text-to-Image Models via LLM-Driven Adversarial Prompts
ICCV 2025
Auto prompting without training labels: An LLM cascade for product quality assessment in e-commerce catalogs
EMNLP 2025
AutoProSAM: Automated Prompting SAM for 3D Multi-Organ Segmentation
WACV 2025
Autoregressive Denoising Score Matching is a Good Video Anomaly Detector
ICCV 2025
Auto-Regressive Moving Diffusion Models for Time Series Forecasting
AAAI 2025
Autoregressive Sequence Modeling for 3D Medical Image Representation
AAAI 2025
Autoregressive Sequential Pretraining for Visual Tracking
CVPR 2025
Auto Review: Second Stage Error Detection for Highly Accurate Information Extraction from Phone Conversations
ACL 2025
AutoSciLab: A Self-Driving Laboratory for Interpretable Scientific Discovery
AAAI 2025
AutoSDT: Scaling Data-Driven Discovery Tasks Toward Open Co-Scientists
EMNLP 2025
AutoSSVH: Exploring Automated Frame Sampling for Efficient Self-Supervised Video Hashing
CVPR 2025
AUTOSUMM: A Comprehensive Framework for LLM-Based Conversation Summarization
ACL 2025
AutoUAD: Hyper-parameter Optimization for Unsupervised Anomaly Detection
ICLR 2025
Auto-Weighted Group Relative Preference Optimization for Multi-Objective Text Generation Tasks
EMNLP 2025