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)
S²DN: Learning to Denoise Unconvincing Knowledge for Inductive Knowledge Graph Completion
AAAI 2025
S²MILE: Semantic-and-Structure-Aware Music-Driven Lyric Generation
AAAI 2025
S^3cMath: Spontaneous Step-Level Self-Correction Makes Large Language Models Better Mathematical Reasoners
AAAI 2025
S3E: Self-Supervised State Estimation for Radar-Inertial System
ICCV 2025
S3PT: Scene Semantics and Structure Guided Clustering to Boost Self-Supervised Pre-Training for Autonomous Driving
WACV 2025
s3: You Don’t Need That Much Data to Train a Search Agent via RL
EMNLP 2025
S4M: Boosting Semi-Supervised Instance Segmentation with SAM
ICCV 2025
SabiYarn: Advancing Low Resource Languages with Multitask NLP Pretraining
ACL 2025
SaCa: A Highly Compatible Reinforcing Framework for Knowledge Graph Embedding via Structural Pattern Contrast
EMNLP 2025
SA-CLIP: Language Guided Image Spatial and Action Feature Learning
EMNLP 2025
SACP: Spatially-Adaptive Conformal Prediction in Uncertainty Quantification of Medical Image Segmentation
MIDL 2025
SADA: Semantic Adversarial Unsupervised Domain Adaptation for Temporal Action Localization
WACV 2025
SADBA: Self-Adaptive Distributed Backdoor Attack Against Federated Learning
AAAI 2025
SADDLe: Sharpness-Aware Decentralized Deep Learning with Heterogeneous Data
WACV 2025
SAEs Are Good for Steering – If You Select the Right Features
EMNLP 2025
SafeChain: Safety of Language Models with Long Chain-of-Thought Reasoning Capabilities
ACL 2025
Safeguard Fine-Tuned LLMs Through Pre- and Post-Tuning Model Merging
EMNLP 2025
Safeguarding RAG Pipelines with GMTP: A Gradient-based Masked Token Probability Method for Poisoned Document Detection
ACL 2025
SafeKey: Amplifying Aha-Moment Insights for Safety Reasoning
EMNLP 2025
Safe Online Convex Optimization with Heavy-Tailed Observation Noises
AAAI 2025
SafeRAG: Benchmarking Security in Retrieval-Augmented Generation of Large Language Model
ACL 2025
SafeSpeech: A Comprehensive and Interactive Tool for Analysing Sexist and Abusive Language in Conversations
NAACL 2025
SAFE-SQL: Self-Augmented In-Context Learning with Fine-grained Example Selection for Text-to-SQL
EMNLP 2025
Safety Alignment via Constrained Knowledge Unlearning
ACL 2025
SAFREE: Training-Free and Adaptive Guard for Safe Text-to-Image And Video Generation
ICLR 2025