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)
Conditional Information Bottleneck for Multimodal Fusion: Overcoming Shortcut Learning in Sarcasm Detection
AAAI 2026
ConeSep: Cone-based Robust Noise-Unlearning Compositional Network for Composed Image Retrieval
CVPR 2026
Confidence-Calibrated Small-Large Language Model Collaboration for Cost-Efficient Reasoning
EACL 2026
Confidence Leaps in LLM Reasoning: Early Stopping and Cross-Model Transfer
EACL 2026
Confidence Should Be Calibrated More Than One Turn Deep
ACL 2026
Conformal Online Model Aggregation
UAI 2026
Conformal Prediction Sets for Instance Segmentation
UAI 2026
Conformal Risk Minimization with Variance Reduction
UAI 2026
Conformal Risk Sharing: Certified Cost Allocation with Participation Guarantees
UAI 2026
Confusion-Aware Spectral Regularizer for Long-Tailed Recognition
CVPR 2026
Conjuring Positive Pairs for Efficient Unification of Representation Learning and Image Synthesis
WACV 2026
ConLID: Supervised Contrastive Learning for Low-Resource Language Identification
EACL 2026
ConRAS: Contrastive In-context Learning Framework for Retrieval-Augmented Summarization
EACL 2026
Consensus Entropy: Harnessing Multi-VLM Agreement for Self-Verifying and Self-Improving OCR
CVPR 2026
Consensus Learning with Multi-Party Perturbation Triggers for Secure Model Access
AAAI 2026
Consensus vs. Controversy: Mapping the Decision Space Where Architectures Diverge
CVPR 2026
ConsistRM: Improving Generative Reward Models via Consistency-Aware Self-Training
ACL 2026
Constrained Best Arm Identification with Tests for Feasibility
AAAI 2026
Constrained Molecule Generation Modelled Using the Grammar Constraint
AAAI 2026
Constraint-Guided Clustering for Identifying in-Vehicle Electronic Control Units from Voltage Data
AAAI 2026
Constructing Superior Representations Beyond the Original Documents via a Contrastive Gaussian Fusion Network for Clustering
AAAI 2026
ConSurv: Multimodal Continual Learning for Survival Analysis
AAAI 2026
Content-aware Information Compression and Selection for Whole Slide Image Analysis
AAAI 2026
Content Diversity-guided Ambiguity Mitigation for Open-Set Noisy Label Learning
AAAI 2026
Context-aware Graph Meta-learning
AAAI 2026