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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'15
'20
'25
Papers (including subtopics)
SegEarth-OV: Towards Training-Free Open-Vocabulary Segmentation for Remote Sensing Images
CVPR 2025
SegFace: Face Segmentation of Long-Tail Classes
AAAI 2025
Segment Any 3D Object with Language
ICLR 2025
Segment Anything Meets Point Tracking
WACV 2025
Segment First or Comprehend First? Explore the Limit of Unsupervised Word Segmentation with Large Language Models
ACL 2025
Selecting Demonstrations for Many-Shot In-Context Learning via Gradient Matching
ACL 2025
Selective Contrastive Learning for Weakly Supervised Affordance Grounding
ICCV 2025
Selective Forgetting: Advancing Machine Unlearning Techniques and Evaluation in Language Models
AAAI 2025
Selective Preference Optimization via Token-Level Reward Function Estimation
EMNLP 2025
Selective Self-to-Supervised Fine-Tuning for Generalization in Large Language Models
NAACL 2025
Selective Shot Learning for Code Explanation
ACL 2025
Selective Uncertainty Propagation in Offline RL
AAAI 2025
Selective Unlearning via Representation Erasure Using Domain Adversarial Training
ICLR 2025
Selective Visual Prompting in Vision Mamba
AAAI 2025
Select-then-Route : Taxonomy guided Routing for LLMs
EMNLP 2025
Select to Know: An Internal-External Knowledge Self-Selection Framework for Domain-Specific Question Answering
EMNLP 2025
Self-adaptive Dataset Construction for Real-World Multimodal Safety Scenarios
EMNLP 2025
Self-attention-based Diffusion Model for Time-series Imputation in Partial Blackout Scenarios
AAAI 2025
Self-Augmented Preference Alignment for Sycophancy Reduction in LLMs
EMNLP 2025
SelfAug: Mitigating Catastrophic Forgetting in Retrieval-Augmented Generation via Distribution Self-Alignment
EMNLP 2025
Self-Boosting Large Language Models with Synthetic Preference Data
ICLR 2025
Self-calibration Enhanced Whole Slide Pathology Image Analysis
IJCAI 2025
SelfCite: Self-Supervised Alignment for Context Attribution in Large Language Models
ICML 2025
Self-Classification Enhancement and Correction for Weakly Supervised Object Detection
IJCAI 2025
Self-Contrastive Loop of Thought Method for Text-to-SQL Based on Large Language Model
ACL 2025