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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'15
'20
'25
Papers (including subtopics)
RealNet: Efficient and Unsupervised Detection of AI-Generated Images via Real-Only Representation Learning
AAAI 2026
Real-Time Dynamic Scene Rendering with Controlled Compressibility and Contact Awareness
CVPR 2026
Real-Time Path Planning for UAVs in Windy Environments Without Computational Fluid Dynamics
AAAI 2026
Real-World Point Tracking with Verifier-Guided Pseudo-Labeling
CVPR 2026
Reason2Attack: Jailbreaking Text-to-Image Models via LLM Reasoning
AAAI 2026
Reasoning About the Unsaid: Misinformation Detection with Omission-Aware Graph Inference
AAAI 2026
Reasoning Palette: Modulating Reasoning via Latent Contextualization for Controllable Exploration for (V)LMs
CVPR 2026
Reasoning Structure Matters for Safety Alignment of Reasoning Models
ACL 2026
Reasoning via Implicit Self-supervised Emergence for Instruction Segmentation
AAAI 2026
Reasoning While Asking: Transforming Reasoning Large Language Models from Passive Solvers to Proactive Inquirers
ACL 2026
ReaSon: Reinforced Causal Search with Information Bottleneck for Video Understanding
AAAI 2026
Reassessing Active Learning Adoption in Contemporary NLP: A Community Survey
EACL 2026
ReBaPL: Repulsive Bayesian Prompt Learning
CVPR 2026
ReciFine: Finely Annotated Recipe Dataset for Controllable Recipe Generation
EACL 2026
Reciprocal Teaching: Dynamic Multi-Model Teacher-Student Learning for Multiple Noisy Annotations
WACV 2026
Rectify Evaluation Preference: Improving LLMs’ Critique on Math Reasoning via Perplexity-aware Reinforcement Learning
AAAI 2026
RecToM: A Benchmark for Evaluating Machine Theory of Mind in LLM-based Conversational Recommender Systems
AAAI 2026
Recycling History: Efficient Recommendations from Contextual Dueling Bandits
ALT 2026
Refine-IQA: Multi-Stage Reinforcement Finetuning for Perceptual Image Quality Assessment
AAAI 2026
Refinement Contrastive Learning of Cell–Gene Associations for Unsupervised Cell Type Identification
AAAI 2026
RefineVAD: Semantic-Guided Feature Recalibration for Weakly Supervised Video Anomaly Detection
AAAI 2026
Refining and Reusing Annotation Guidelines for LLM Annotation
ACL 2026
ReflectiveRAG: Rethinking Adaptivity in Retrieval-Augmented Generation
EACL 2026
Reflect, Rewrite, Repeat: How Simple Arithmetic Enables Advanced Reasoning in Small Language Models
EACL 2026
ReflectRM: Boosting Generative Reward Models via Self-Reflection within a Unified Judgment Framework
ACL 2026