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
'5
'10
'15
'20
'25
Papers (including subtopics)
Blur-Robust Detection via Feature Restoration: An End-to-End Framework for Prior-Guided Infrared UAV Target Detection
AAAI 2026
Boosted Control Functions: Distribution Generalization and Invariance in Confounded Models
JMLR 2026
Boosting Adversarial Transferability via Ensemble Non-Attention
AAAI 2026
Boosting Medical Vision-Language Pretraining via Momentum Self-Distillation under Limited Computing Resources
WACV 2026
Boosting the Robustness-Accuracy Trade-off of SNNs by Robust Temporal Self-Ensemble
AAAI 2026
Boosting Unsupervised Video Instance Segmentation with Automatic Quality-Guided Self-Training
WACV 2026
Boosting with List-Decodable Codes
COLT 2026
Bootstrapping LLMs via Preference-Based Policy Optimization
AAAI 2026
Bootstrapping Personalized Insulin Therapy via Model-Based Reinforcement Learning: An In Silico Study
AAAI 2026
Bot Meets Shortcut: How Can LLMs Aid in Handling Unknown Invariance OOD Scenarios?
AAAI 2026
Boundary-Aware LLM Augmentation for Low-Resource Event Argument Extraction
EACL 2026
Bounding the Causal Impact of ML-assisted Decision-Making via Counterfactual Correctness
UAI 2026
Branch, or Layer? Zeroth-Order Optimization for Continual Learning of Vision-Language Models
AAAI 2026
BraSTORM: A Dual-Branch Self-Supervised Framework for EEG Representation Learning via Input-Level Spatio-Temporal Decomposition
AAAI 2026
Breaking Bad: Component-Wise Parent Deletion for Score-Based Causal Discovery
UAI 2026
Breaking Model Lock-in: Cost-Efficient Zero-Shot LLM Routing via a Universal Latent Space
AAAI 2026
Breaking Semantic Boundaries: Distribution-Guided Semantic Exploration for Creative Generation
CVPR 2026
Breaking the Adversarial Robustness-Performance Trade-off in Text Classification via Manifold Purification
AAAI 2026
Breaking the Modality Barrier: Generative Modeling for Accurate Molecule Retrieval from Mass Spectra
AAAI 2026
Breaking the Passive Learning Trap: An Active Perception Strategy for Human Motion Prediction
AAAI 2026
Bregman contrastive estimation as a general framework for learning unnormalized models: Efficiency, robustness and optimal noise
UAI 2026
BridgeEQA: Virtual Embodied Agents for Real Bridge Inspections
CVPR 2026
Bridging Attribution and Open-Set Detection using Graph-Augmented Instance Learning in Synthetic Speech
EACL 2026
Bridging Cognitive Gap: Hierarchical Description Learning for Artistic Image Aesthetics Assessment
AAAI 2026
Bridging Domain Expertise and Generalization for Performance Estimation
CVPR 2026