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)
Improving online FDR procedures via online analogs of e-closure and compound e-values
UAI 2026
Improving Out-of-Distribution Detection Using Segmented Images and Cross-View Attention Fusion
WACV 2026
Improving RCT-Based Treatment Effect Estimation Under Covariate Mismatch via Calibrated Alignment
UAI 2026
Improving Region Representation Learning from Urban Imagery with Noisy Long-Caption Supervision
AAAI 2026
Improving Sustainability of Adversarial Examples in Class-Incremental Learning
AAAI 2026
Improving the Convergence Rate of Ray Search Optimization for Query-Efficient Hard-Label Attacks
AAAI 2026
Improving the OOD Performance of Closed-Source LLMs on NLI Through Strategic Data Selection
EACL 2026
Improvise, Adapt, Overcome -- Telescopic Adapters for Efficient Fine-tuning of Vision Language Models in Medical Imaging
WACV 2026
Incentivizing Strong Reasoning from Weak Supervision
EACL 2026
Incomplete In-context Learning
ACL 2026
Incomplete Multi-view Diabetic Retinopathy Grading via Self-Supervised Inter- and Intra-View Restoration
AAAI 2026
Inference-time Physics Alignment of Video Generative Models with Latent World Models
CVPR 2026
Inferring Heterogeneous Private Valuations from Offline Market Data via Entropic Risk-Sensitive Utility Maximization
AAAI 2026
InfiGUI-G1: Advancing GUI Grounding with Adaptive Exploration Policy Optimization
AAAI 2026
Information-Theoretic Lower Bounds for Causal Inference under Credal Uncertainty
UAI 2026
Information-Theoretic Minimal Sufficient Representation for Multi-Domain Knowledge Graph Completion
AAAI 2026
Injection, Attack and Erasure: Revocable Backdoor Attacks via Machine Unlearning
AAAI 2026
Inpaint-Anywhere: Zero-Shot Multi-Identity Inpainting with Efficient Diffusion Transformer
AAAI 2026
Instance-Guided Scene Adaptation for Unsupervised Person Search
AAAI 2026
Instance-optimal high-precision shadow tomography with few-copy measurements: A metrological approach
COLT 2026
InstructDubber: Instruction-based Alignment for Zero-shot Movie Dubbing
AAAI 2026
Integrating Diverse Assignment Strategies into DETRs
AAAI 2026
INTENT: Invariance and Discrimination-aware Noise Mitigation for Robust Composed Image Retrieval
AAAI 2026
Intention-Aware Diffusion Model for Pedestrian Trajectory Prediction
AAAI 2026
Interaction-via-Actions: Cattle Interaction Detection with Joint Learning of Action-Interaction Latent Space
WACV 2026