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)
CanKD: Cross-Attention-based Non-local Operation for Feature-based Knowledge Distillation
WACV 2026
Can Natural Image Autoencoders Compactly Tokenize fMRI Volumes for Long-Range Dynamics Modeling?
CVPR 2026
Canonical Domain Reduction for Partial Counterfactual Identification
UAI 2026
Can Optimal Transport Improve Federated Inverse Reinforcement Learning?
L4DC 2026
Can Persona-Prompted LLMs Emulate Subgroup Values? An Empirical Analysis of Generalisability and Fairness in Cultural Alignment
ACL 2026
Can Pseudo-Label Be More Reliable? A Simple yet Effective Topology-Aware Graph Self-Training Method
AAAI 2026
Can Reasoning Help Large Language Models Capture Human Annotator Disagreement?
EACL 2026
Capacity and Redundancy Trade-offs in Multi-Task Learning
UAI 2026
CAPE: A CLIP-Aware Pointing Ensemble of Complementary Heatmap Cues for Embodied Reference Understanding
WACV 2026
Capturing Classic Authorial Style in Long-Form Story Generation with GRPO Fine-Tuning
CoNLL 2026
Capturing Dynamic User Interests Under Modality Imbalance for Multimodal Sequential Recommendation
AAAI 2026
CARE: Confidence-aware Ratio Estimation for Medical Biomarkers
MIDL 2026
CascadeMind at SemEval-2026 Task 4: A Hybrid Neuro-Symbolic Cascade for Narrative Similarity
SemEval 2026
CASL: Curvature-Augmented Self-supervised Learning for 3D Anomaly Detection
AAAI 2026
CAST: Evaluating Multi-Object Trackers with Context-Aware Switch and Transfer Scores
WACV 2026
Catastrophic Forgetting in Kolmogorov-Arnold Networks
AAAI 2026
CATCH: A Controllable Theme Detection Framework with Contextualized Clustering and Hierarchical Generation
AAAI 2026
CaT-Diff: Cascaded Text-enhanced Diffusion Model for Time-Series Imputation
AAAI 2026
CATP: Contextually Adaptive Token Pruning for Efficient and Enhanced Multimodal In-Context Learning
AAAI 2026
Causal Discovery with Metadata-Informed Latent Types
UAI 2026
Causal Importance for Physics-Informed Machine Learning
CLeaR 2026
CCAHCL: Multi-Level Hypergraph Contrastive Learning for Connected Component Awareness
AAAI 2026
CEC-Zero: Zero-Supervision Character Error Correction with Self-Generated Rewards
AAAI 2026
Certified but Fooled! Breaking Certified Defenses with Ghost Certificates
AAAI 2026
CertMask: Certifiable Defense Against Adversarial Patches via Theoretically Optimal Mask Coverage
AAAI 2026