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)
Eigenvalue Calibration for Semantic Embeddings of Large Language Models
UAI 2026
Elastic Weight Consolidation Done Right for Continual Learning
CVPR 2026
ELLA: Efficient Lifelong Learning for Adapters in Large Language Models
EACL 2026
Ellat at SemEval-2026 Task 11: Comparing Encoder and Decoder Models for Syllogistic Reasoning
SemEval 2026
Ellipsoid-Based Decision Boundaries for Open Intent Classification
AAAI 2026
E-Logic Prompt: Unified Energy-Logic Framework for Continual Visual Question Answering
AAAI 2026
Elucidating the SNR-t Bias of Diffusion Probabilistic Models
CVPR 2026
EMMA: Extracting Multiple physical parameters from Multimodal Data
CVPR 2026
Emo-tica at SemEval-2026 Task 2: Trait–State Affect Forecaster for Longitudinal Valence and Arousal
SemEval 2026
Emotion and Intention Guided Multi-Modal Learning for Sticker Response Selection
AAAI 2026
Empowering Source-Free Domain Adaptation via MLLM-Guided Reliability-Based Curriculum Learning
WACV 2026
Enabling Delayed-Full Charging Through Transformer-Based Real-Time-to-Departure Modeling for EV Battery Longevity
AAAI 2026
EndoStreamDepth: Temporally Consistent Monocular Depth Estimation for Endoscopic Video Streams
MIDL 2026
Enhancing All-to-X Backdoor Attacks with Optimized Target Class Mapping
AAAI 2026
Enhancing Automatic Speech Recognition Models for Maternal and Reproductive Health: Fine-Tuning and Real-World Evaluation in Wolof
EACL 2026
Enhancing Diffusion Policies with Distribution-Matching Generator in Offline Reinforcement Learning
AAAI 2026
Enhancing Generalization of Depth Estimation Foundation Model via Weakly-Supervised Adaptation with Regularization
AAAI 2026
Enhancing Inverse Reinforcement Learning through Encoding Dynamic Information in Reward Shaping
L4DC 2026
Enhancing Job Evaluation with Data Augmentation and Text Classification
ACL 2026
Enhancing Meme Emotion Understanding with Multi-Level Modality Enhancement and Dual-Stage Modal Fusion
AAAI 2026
Enhancing Multimodal Misinformation Detection by Replaying the Whole Story from Image Modality Perspective
AAAI 2026
Enhancing Object Detection Training via Joint Image-Annotation Generation
WACV 2026
Enhancing Out-of-Distribution Detection with Extended Logit Normalization
CVPR 2026
Enhancing Vision Language Corruption Robustness using Cross-Distribution & Prompted Denoisers
WACV 2026
Enhancing Visual Representation with Textual Semantics: Textual Semantics-Powered Prototypes for Heterogeneous Federated Learning
CVPR 2026