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)
Just Pass Twice: Efficient Token Classification with LLMs for Zero-Shot NER
ACL 2026
KASER: Knowledge-Aligned Student Error Simulator for Open-Ended Coding Tasks
ACL 2026
Keep On Going: Learning Robust Humanoid Motion Skills via Selective Adversarial Training
AAAI 2026
KG-CRAFT: Knowledge Graph-based Contrastive Reasoning with LLMs for Enhancing Automated Fact-checking
EACL 2026
Khan-GCL: Kolmogorov–Arnold Network Based Graph Contrastive Learning with Hard Negatives
AAAI 2026
K-Merge: Online Continual Merging of Adapters for On-device Large Language Models
ACL 2026
KNNDA: A New Perspective of Alignment Recovery for Partially View-Aligned Clustering
AAAI 2026
Knowing What’s Missing: Assessing Information Sufficiency in Question Answering
EACL 2026
Knowledge Augmentation Enhances Token Classification for Recipe Understanding
EACL 2026
Knowledge Beyond Language: Bridging the Gap in Multilingual Machine Unlearning Evaluation
ACL 2026
Knowledge-Enhanced Explainable Prompting for Vision-Language Models
AAAI 2026
Knowledge-Enhanced Image Captioning with Adaptive Graph-based Multimodal Alignment and LLM
AAAI 2026
Knowledge is Not Enough: Injecting RL Skills for Continual Adaptation
ACL 2026
Know Your Neighbors: Subgraph Importance Sampling for Heterophilic Graph Active Learning
AAAI 2026
KOALA: Knowledge of Optimization and Learning Algorithms for Healthcare
AAAI 2026
Koopman Invariants as Drivers of Emergent Time-Series Clustering in Joint-Embedding Predictive Architectures
AAAI 2026
KPDM: Key Phrase Dynamic Masking for Robust Text-to-Image Person Retrieval
AAAI 2026
K-ProtoDiff: Key Prototypes-Guided Diffusion for Time Series Generation
AAAI 2026
KSS-MoE: Knowledge Space Synergy Framework in Mixture of Experts for Continual Visual Instruction Tuning
AAAI 2026
K-STaR: Knowledge-Aware Self-Taught Reasoner
AAAI 2026
KvochurHegel at AbjadMed: Combining LDAM Loss and Adversarial Training for Arabic Medical Question-Answer Classification
EACL 2026
Label What Matters: Modality-Balanced and Difficulty-Aware Multimodal Active Learning
CVPR 2026
LaDy: Lagrangian-Dynamic Informed Network for Skeleton-based Action Segmentation via Spatial-Temporal Modulation
CVPR 2026
LaF-GRPO: In-Situ Navigation Instruction Generation for the Visually Impaired via GRPO with LLM-as-Follower Reward
AAAI 2026
LAMP: Learning Universal Adversarial Perturbations for Multi-Image Tasks via Pre-trained Models
AAAI 2026