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)
Cap2Aug: Caption Guided Image Data Augmentation
WACV 2025
CAP: A General Algorithm for Online Selective Conformal Prediction with FCR Control
JMLR 2025
CapArena: Benchmarking and Analyzing Detailed Image Captioning in the LLM Era
ACL 2025
CAP: Conformalized Abstention Policies for Context-Adaptive Risk Management for LLMs and VLMs
ACML 2025
CapeX: Category-Agnostic Pose Estimation from Textual Point Explanation
ICLR 2025
CAPO: Confidence Aware Preference Optimization Learning for Multilingual Preferences
IJCNLP 2025
CAPrompt: Cyclic Prompt Aggregation for Pre-Trained Model Based Class Incremental Learning
AAAI 2025
CAPSTONE: Composable Attribute‐Prompted Scene Translation for Zero‐Shot Vision–Language Reasoning
EMNLP 2025
Captioning for Text-Video Retrieval via Dual-Group Direct Preference Optimization
EMNLP 2025
Captured by Captions: On Memorization and its Mitigation in CLIP Models
ICLR 2025
CAPTURE: Evaluating Spatial Reasoning in Vision Language Models via Occluded Object Counting
ICCV 2025
Capture Global Feature Statistics for One-Shot Federated Learning
AAAI 2025
Capturing Individuality and Commonality Between Anchor Graphs for Multi-View Clustering
IJCAI 2025
Capturing Online SRC/ORC Effort with Memory Measures from a Minimalist Parser
NAACL 2025
Capturing the Unseen: Vision-Free Facial Motion Capture Using Inertial Measurement Units
AAAI 2025
Capybara at the Financial Misinformation Detection Challenge Task: Chain-of-Thought Enhanced Financial Misinformation Detection
COLING 2025
CARE: A Disagreement Detection Framework with Concept Alignment and Reasoning Enhancement
EMNLP 2025
CareBot: A Pioneering Full-Process Open-Source Medical Language Model
AAAI 2025
CARE: Multilingual Human Preference Learning for Cultural Awareness
EMNLP 2025
CARE-STaR: Constraint-aware Self-taught Reasoner
ACL 2025
CARFT: Boosting LLM Reasoning via Contrastive Learning with Annotated Chain-of-Thought-based Reinforced Fine-Tuning
EMNLP 2025
CARL: Causality-guided Architecture Representation Learning for an Interpretable Performance Predictor
ICCV 2025
CARMA: Enhanced Compositionality in LLMs via Advanced Regularisation and Mutual Information Alignment
EMNLP 2025
CARMO: Dynamic Criteria Generation for Context Aware Reward Modelling
ACL 2025
CASAGPT: Cuboid Arrangement and Scene Assembly for Interior Design
CVPR 2025