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)
SoftCoT: Soft Chain-of-Thought for Efficient Reasoning with LLMs
ACL 2025
SoftCVI: Contrastive variational inference with self-generated soft labels
ICLR 2025
Soft Self-labeling and Potts Relaxations for Weakly-supervised Segmentation
CVPR 2025
Soft Separation and Distillation: Toward Global Uniformity in Federated Unsupervised Learning
ICCV 2025
Soft Token Attacks Cannot Reliably Audit Unlearning in Large Language Models
EMNLP 2025
SOLA-GCL: Subgraph-Oriented Learnable Augmentation Method for Graph Contrastive Learning
AAAI 2025
Solar Multimodal Transformer: Intraday Solar Irradiance Predictor using Public Cameras and Time Series
WACV 2025
SOLAR: Serendipity Optimized Language Model Aligned for Recommendation
EMNLP 2025
SOLID: Self-seeding and Multi-intent Self-instructing LLMs for Generating Intent-aware Information-Seeking Dialogs
NAACL 2025
Solid-SQL: Enhanced Schema-linking based In-context Learning for Robust Text-to-SQL
COLING 2025
Solving Instance Detection from an Open-World Perspective
CVPR 2025
Solving Robust Markov Decision Processes: Generic, Reliable, Efficient
AAAI 2025
SoMA: Singular Value Decomposed Minor Components Adaptation for Domain Generalizable Representation Learning
CVPR 2025
SOMD 2025: Fine-tuning ModernBERT for In- and Out-of-Distribution NER and Relation Extraction of Software Mentions in Scientific Texts
ACL 2025
Something’s Fishy in the Data Lake: A Critical Re-evaluation of Table Union Search Benchmarks
ACL 2025
Sonata: Self-Supervised Learning of Reliable Point Representations
CVPR 2025
SongEditor: Adapting Zero-Shot Song Generation Language Model as a Multi-Task Editor
AAAI 2025
SOPL: A Sequential Optimal Learning Approach to Automated Prompt Engineering in Large Language Models
EMNLP 2025
SORREL: Suboptimal-Demonstration-Guided Reinforcement Learning for Learning to Branch
AAAI 2025
SoT: Structured-of-Thought Prompting Guides Multilingual Reasoning in Large Language Models
EMNLP 2025
SoundMind: RL-Incentivized Logic Reasoning for Audio-Language Models
EMNLP 2025
SourceDetMamba: A Graph-aware State Space Model for Source Detection in Sequential Hypergraphs
IJCAI 2025
Sources of Disagreement in Data for LLM Instruction Tuning
COLING 2025
SPACE: SPAtial-Aware Consistency rEgularization for Anomaly Detection in Industrial Applications
WACV 2025
Span Labeling with Large Language Models: Shell vs. Meat
ACL 2025