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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'10
'15
'20
'25
Papers (including subtopics)
On The Complexity of Best-Arm Identification in Non-Stationary Linear Bandits
COLT 2026
On the Convergence of Self-Improving Online LLM Alignment
UAI 2026
On the Curse of Dimensionality in Private Sparse Covariance Estimation and PCA
COLT 2026
On the Effect of Hyperparameters in Language Modeling for Computational Linguistics
ACL 2026
On the Effect of Sampling Diversity in Scaling LLM Inference
UAI 2026
On the Granularity of Causal Effect Identifiability
UAI 2026
On the Importance of Randomization in Discriminative Feature Feedback
COLT 2026
On the Relevance of Byzantine Robust Optimization Against Data Poisoning
JMLR 2026
On the Role of Transformer Feed-Forward Layers in Nonlinear In-Context Learning
ALT 2026
On the Sublinear Regret of Continuous K-Max Bandits
UAI 2026
On Transportability for Structural Causal Bandits
UAI 2026
OpenCowID: Zero-Shot Visual Identification of Dairy Cows
WACV 2026
Open Problem: Is Interaction Necessary for Order-Optimal 1-bit Mean Estimation?
COLT 2026
Open-World Deepfake Attribution via Confidence-Aware Asymmetric Learning
AAAI 2026
OPLoRA: Orthogonal Projection LoRA Prevents Catastrophic Forgetting During Parameter-Efficient Fine-Tuning
AAAI 2026
Optical Diffraction-based Convolution for Semiconductor Lithography
CVPR 2026
Optimal control of the future via prospective learning with control
L4DC 2026
Optimal Learning Rate Schedules under Functional Scaling Laws: Power Decay and Warmup–Stable–Decay (Extended Abstract)
COLT 2026
Optimal Variance-Dependent Regret Bounds for Infinite-Horizon MDPs
COLT 2026
Optimism Stabilizes Thompson Sampling for Adaptive Inference
COLT 2026
Optimized Algorithms for Text Clustering with LLM-Generated Constraints
AAAI 2026
Optimizing User Profiles via Contextual Bandits for Retrieval-Augmented LLM Personalization
ACL 2026
Optimizing What We Trust: Reliability-Guided QUBO Selection of Multi-Agent Weak Framing Signals for Arabic Sentiment Prediction
EACL 2026
Ordinal-Aware Multimodal Engagement Recognition for Collaborative Learning
WACV 2026
ORSO QGen: Odds-Ratio Steerable Optimization for Controlling Question Generation
EACL 2026