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
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'15
'20
'25
Papers (including subtopics)
Relieving Universal Label Noise for Unsupervised Visible-Infrared Person Re-Identification by Inferring from Neighbors
AAAI 2025
RELOCATE: A Simple Training-Free Baseline for Visual Query Localization Using Region-Based Representations
CVPR 2025
REM: A Scalable Reinforced Multi-Expert Framework for Multiplex Influence Maximization
AAAI 2025
ReME: A Data-Centric Framework for Training-Free Open-Vocabulary Segmentation
ICCV 2025
ReMix: Training Generalized Person Re-Identification on a Mixture of Data
WACV 2025
ReMoGPT: Part-Level Retrieval-Augmented Motion-Language Models
AAAI 2025
Removal of Hallucination on Hallucination: Debate-Augmented RAG
ACL 2025
Removing Geometric Bias in One-Class Anomaly Detection with Adaptive Feature Perturbation
WACV 2025
Removing Prompt-template Bias in Reinforcement Learning from Human Feedback
ACL 2025
ReMP-AD: Retrieval-enhanced Multi-modal Prompt Fusion for Few-Shot Industrial Visual Anomaly Detection
ICCV 2025
RenderBender: A Survey on Adversarial Attacks Using Differentiable Rendering
IJCAI 2025
ReNeg: Learning Negative Embedding with Reward Guidance
CVPR 2025
ReNovo: Retrieval-Based \emph{De Novo} Mass Spectrometry Peptide Sequencing
ICLR 2025
Reparameterizing Hybrid Markov Logic Networks to handle Covariate-Shift in Representations
UAI 2025
REPA: Russian Error Types Annotation for Evaluating Text Generation and Judgment Capabilities
ACL 2025
REPEAT: Improving Uncertainty Estimation in Representation Learning Explainability
AAAI 2025
RepeatLeakage: Leak Prompts from Repeating as Large Language Model Is a Good Repeater
AAAI 2025
ReplayCAD: Generative Diffusion Replay for Continual Anomaly Detection
IJCAI 2025
Replicating Electoral Success
AAAI 2025
Replication-proof Bandit Mechanism Design with Bayesian Agents
AAAI 2025
Rep-MTL: Unleashing the Power of Representation-level Task Saliency for Multi-Task Learning
ICCV 2025
RepObE: Representation Learning-Enhanced Obfuscation Encryption Modular Semantic Task Framework
IJCAI 2025
Representation Bending for Large Language Model Safety
ACL 2025
Representation-driven Option Discovery in Reinforcement Learning
AAAI 2025
Representation Learning with Mutual Influence of Modalities for Node Classification in Multi-Modal Heterogeneous Networks
IJCAI 2025