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
'25
Papers (including subtopics)
Self-Correcting Code Generation Using Small Language Models
EMNLP 2025
Self-Correction is More than Refinement: A Learning Framework for Visual and Language Reasoning Tasks
ACL 2025
Self-Critique and Refinement for Faithful Natural Language Explanations
EMNLP 2025
Self-Critique Guided Iterative Reasoning for Multi-hop Question Answering
ACL 2025
Self-Debiasing Large Language Models: Zero-Shot Recognition and Reduction of Stereotypes
NAACL 2025
Self-Discriminative Modeling for Anomalous Graph Detection
ICML 2025
Self-Ensemble: Mitigating Confidence Distortion for Large Language Models
EMNLP 2025
Self-Ensembling Gaussian Splatting for Few-Shot Novel View Synthesis
ICCV 2025
Self-Error-Instruct: Generalizing from Errors for LLMs Mathematical Reasoning
ACL 2025
Self-Evolving Visual Concept Library using Vision-Language Critics
CVPR 2025
Self-Expansion of Pre-trained Models with Mixture of Adapters for Continual Learning
CVPR 2025
Self-Explainable Graph Transformer for Link Sign Prediction
AAAI 2025
Self-Foveate: Enhancing Diversity and Difficulty of Synthesized Instructions from Unsupervised Text via Multi-Level Foveation
ACL 2025
SELFGOAL: Your Language Agents Already Know How to Achieve High-level Goals
NAACL 2025
Self-Guided Function Calling in Large Language Models via Stepwise Experience Recall
EMNLP 2025
Self-Harmonized Chain of Thought
NAACL 2025
Self-Improvement in Language Models: The Sharpening Mechanism
ICLR 2025
Self-Improvement Towards Pareto Optimality: Mitigating Preference Conflicts in Multi-Objective Alignment
ACL 2025
Self-Improving Robust Preference Optimization
ICLR 2025
Self-Improving Transformers Overcome Easy-to-Hard and Length Generalization Challenges
ICML 2025
Self-Instructed Derived Prompt Generation Meets In-Context Learning: Unlocking New Potential of Black-Box LLMs
ACL 2025
Self-Learning Hyperspectral and Multispectral Image Fusion via Adaptive Residual Guided Subspace Diffusion Model
CVPR 2025
Self-Normalized Resets for Plasticity in Continual Learning
ICLR 2025
Self-Organizing Visual Prototypes for Non-Parametric Representation Learning
ICML 2025
Self-Reinforcing Prototype Evolution with Dual-Knowledge Cooperation for Semi-Supervised Lifelong Person Re-Identification
ICCV 2025