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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'20
'25
Papers (including subtopics)
Robust Pseudo-Labeling via Decoupled Class-Aware Filtering and Dynamic Category Correction
AAAI 2026
Robust Scene Coordinate Regression via Geometrically-Consistent Global Descriptors
WACV 2026
Robust Semi-paired Multimodal Learning for Cross-modal Retrieval
AAAI 2026
Robust training of implicit generative models for multivariate and heavy-tailed distributions with an invariant statistical loss
JMLR 2026
Robust Transfer Learning With Side Information
UAI 2026
Role Hypergraph Contrastive Learning for Multivariate Time-Series Analysis
AAAI 2026
Role Perceptual Augmented Temporal Graph Network for Related-party Transaction Detection
AAAI 2026
Root Completion from Intraoral Scans of Tooth Crowns using Diffusion with Patch Perturbation
WACV 2026
ROVER: Robust Generative Continual Identity Unlearning Against Relearning Attacks
AAAI 2026
RSDA: Restoring Stale Data Affinity via Dynamic Renovation Strategy for Mitigating Data Scarcity
ACL 2026
RSOD: Reliability-Guided Sonar Image Object Detection with Extremely Limited Labels
AAAI 2026
RTMol: Rethinking Molecule-text Alignment in a Round-trip View
AAAI 2026
R-Tuning: Wavelet-Decomposed Replay and Semantic Alignment for Continual Adaptation of Pretrained Time-Series Models
AAAI 2026
RvH-40 at SemEval-2026 Task 11: Disentangling Reasoning from Belief through Symbolic Abstraction
SemEval 2026
RV-HATE: Reinforced Multi-Module Voting for Implicit Hate Speech Detection
ACL 2026
S2-Boost: Synergistic Semantic Boosting for Coarse-to-Fine Ensemble Learning
AAAI 2026
S2C2Seg: Semantic-Spatial Consistency and Category Optimization for Open-Vocabulary Segmentation
CVPR 2026
S2C: A Noise-Resistant Difference Learning Framework for Unsupervised Change Detection in VHR Remote Sensing Images
AAAI 2026
S²Drug: Bridging Protein Sequence and 3D Structure in Contrastive Representation Learning for Virtual Screening
AAAI 2026
S²HyRec: Self-Supervised Hypergraph Sequential Recommendation
AAAI 2026
S²Teacher: Step-by-step Teacher for Sparsely Annotated Oriented Object Detection
AAAI 2026
S2-UniSeg: Fast Universal Agglomerative Pooling for Scalable Segment Anything Without Supervision
AAAI 2026
S5: Scalable Semi-Supervised Semantic Segmentation in Remote Sensing
AAAI 2026
SA²GFM: Enhancing Robust Graph Foundation Models with Structure-Aware Semantic Augmentation
AAAI 2026
SaccadeX: Directed Acyclic Graph-based Semi-Supervised Learning of Continuous Ocular Dynamics from Sparse Neuromorphic Streams
WACV 2026