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)
SafeGRPO: Self-Rewarded Multimodal Safety Alignment via Rule-Governed Policy Optimization
CVPR 2026
Safe Planning in Interactive Environments via Iterative Policy Updates and Adversarially Robust Conformal Prediction
L4DC 2026
SAFER-AiD: Saccade-Assisted Foveal-peripheral vision Enhanced Reconstruction for Adversarial Defense
WACV 2026
Safety Alignment of Large Language Models via Contrasting Safe and Harmful Distributions
AAAI 2026
Safety Beyond the Training Data: Robust Out-of-Distribution MPC via Conformalized System Level Synthesis
L4DC 2026
SafetyReminder: Reviving Delayed Safety Awareness of Vision-Language Models to Defend Against Jailbreak Attacks
AAAI 2026
SAGE: Steerable Agentic Data Generation for Deep Search with Execution Feedback
EACL 2026
SAIL: Self-supervised Learning of Lighting-Invariant Representations from Real Images with Latent Diffusion
WACV 2026
Salience-SGG: Enhancing Unbiased Scene Graph Generation with Iterative Salience Estimation
WACV 2026
SALMUBench: A Benchmark for Sensitive Association-Level Multimodal Unlearning
CVPR 2026
SAM2-OV: A Novel Detection-Only Tuning Paradigm for Open-Vocabulary Multi-Object Tracking
AAAI 2026
SAMCL: Empowering SAM to Continually Learn from Dynamic Domains with Extreme Storage Efficiency
AAAI 2026
SAME: Sparse and Anchored Model Editing for Heterogeneous Incremental Learning under Limited Data
CVPR 2026
SAMGTD: Spatial-Aware Masked Graph Transformer-Diffusion Model for Enhanced Cell Type Deconvolution in Spatial Transcriptomics
AAAI 2026
Sample Complexity Bounds for Linear Constrained MDPs with a Generative Model
ALT 2026
Sample-Efficient Learning of Probabilistic Causes for Reachability in Markov Decision Processes with Probabilistic Guarantees
UAI 2026
Sample-Efficient Omniprediction for Proper Losses
COLT 2026
Sample Weighted Incomplete Multimodal Clustering Based on Graph Coarsening Label Extraction
AAAI 2026
Sampling Control for Imbalanced Calibration in Semi-Supervised Learning
AAAI 2026
Sat2Flow: A Structure-Aware Diffusion Framework for Human Flow Generation from Satellite Imagery
AAAI 2026
SAVeD: Learning to Denoise Low-SNR Video for Improved Downstream Performance
WACV 2026
Scalable Data-Driven Reachability Analysis and Control via Koopman Operators with Conformal Coverage Guarantees
L4DC 2026
Scalable Infinitesimal Generator–Based Koopman Learning for Long-Horizon Prediction
L4DC 2026
Scalable Semi-supervised Community Search via Graph Transformer on Attributed Heterogeneous Information Networks
AAAI 2026
Scalable Trajectory Generation for Whole-Body Mobile Manipulation
CVPR 2026