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
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Papers (including subtopics)
DANS-KGC: Diffusion Based Adaptive Negative Sampling for Knowledge Graph Completion
AAAI 2026
DarkFarseer: Robust Spatio-Temporal Kriging Under Graph Sparsity and Noise
AAAI 2026
DARLING: Dual Hypergraph-Enhanced Curriculum-Guided Graph Structure Learning for Node Classification
AAAI 2026
Data-driven Acceleration of MPC with Guarantees
L4DC 2026
Data-Driven Lipschitz Continuity: A Cost-Effective Approach to Improve Adversarial Robustness
WACV 2026
Data Heterogeneity and Forgotten Labels in Split Federated Learning
AAAI 2026
DATTA: Domain-Adversarial Test-Time Adaptation for Cross-Domain WiFi-Based Human Activity Recognition
WACV 2026
DBGroup: Dual-Branch Point Grouping for Weakly Supervised 3D Semantic Instance Segmentation
AAAI 2026
DcMatch: Unsupervised Multi-Shape Matching with Dual-Level Consistency
AAAI 2026
DCoAR: Deep Concept Injection into Unified Autoregressive Models for Personalized Text-to-Image Generation
CVPR 2026
DC-SPAN: A Dual Contrastive Attention Network for Multi-View Clustering
AAAI 2026
DDSF: Robust Few-Shot Learning via Disentangled Subspaces with Determinantal Point Process
CVPR 2026
Debiased Cognitive Diagnosis: A Contrastive Counterfactual Modeling Method via Variational Autoencoder
AAAI 2026
Debiased Dual-Invariant Defense for Adversarially Robust Person Re-Identification
AAAI 2026
Debiased Orthogonal Boundary-Driven Efficient Noise Mitigation
ACL 2026
Debiased Sample Selection for Learning with Noisy Labels
CVPR 2026
Decision Boundary-aware Generation for Long-tailed Learning
CVPR 2026
Decompose and Attribute: Boosting Generalizable Open-Set Object Detection via Objectness Score
AAAI 2026
Decompose and Conquer: Compositional Reasoning for Zero-Shot Temporal Action Localization
AAAI 2026
Decomposing and Composing: Towards Efficient Vision-Language Continual Learning via Rank-1 Expert Pool in a Single LoRA
AAAI 2026
Decomposing Prompts, Composing Actions: A Multi-Granularity Prompting Approach for Incremental Action Learning
AAAI 2026
Decomposing the Neurons: Activation Sparsity via Mixture of Experts for Continual Test Time Adaptation
AAAI 2026
Decomposition Sampling for Efficient Region Annotations in Active Learning
WACV 2026
DeCoRL: Decoupling Reasoning Chains via Parallel Sub-Step Generation and Cascaded Reinforcement for Interpretable and Scalable RLHF
AAAI 2026
Decoupling Continual Semantic Segmentation
AAAI 2026