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)
Enrich and Detect: Video Temporal Grounding with Multimodal LLMs
ICCV 2025
Enriching children’s stories with LLMs: Delivering multilingual data enrichment for children’s books at scale and across markets
ACL 2025
Enrich-on-Graph: Query-Graph Alignment for Complex Reasoning with LLM Enriching
EMNLP 2025
Ensemble Foreground Management for Unsupervised Object Discovery
ICCV 2025
Ensembling Prompting Strategies for Zero-Shot Hierarchical Text Classification with Large Language Models
EMNLP 2025
Entailed Between the Lines: Incorporating Implication into NLI
ACL 2025
Entity Decomposition with Filtering: A Zero-Shot Clinical Named Entity Recognition Framework
NAACL 2025
Entity Framing and Role Portrayal in the News
ACL 2025
Entity Pair-guided Relation Summarization and Retrieval in LLMs for Document-level Relation Extraction
NAACL 2025
EntitySAM: Segment Everything in Video
CVPR 2025
Entropy-based Exploration Conduction for Multi-step Reasoning
ACL 2025
EntropyMark: Towards More Harmless Backdoor Watermark via Entropy-based Constraint for Open-source Dataset Copyright Protection
CVPR 2025
EoT: Evolution of Thoughts for Complex Reasoning Tasks
EMNLP 2025
Epipolar Consistent Attention Aggregation Network for Unsupervised Light Field Disparity Estimation
ICCV 2025
Epistemic Bellman Operators
AAAI 2025
EPO: Explicit Policy Optimization for Strategic Reasoning in LLMs via Reinforcement Learning
ACL 2025
Epsilon: Exploring Comprehensive Visual-Semantic Projection for Multi-Label Zero-Shot Learning
AAAI 2025
Equal Truth: Rumor Detection with Invariant Group Fairness
EMNLP 2025
EquiBench: Benchmarking Large Language Models’ Reasoning about Program Semantics via Equivalence Checking
EMNLP 2025
EquiCaps: Predictor-Free Pose-Aware Pre-Trained Capsule Networks
ICCV 2025
Equilibria of the Colonel Blotto Games with Costs
AAAI 2025
Equivalence is All: A Unified View for Self-supervised Graph Learning
ICML 2025
Equivariant Masked Position Prediction for Efficient Molecular Representation
ICLR 2025
Erase Then Rectify: A Training-Free Parameter Editing Approach for Cost-Effective Graph Unlearning
AAAI 2025
Erasing Undesirable Influence in Diffusion Models
CVPR 2025