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)
Point-to-Region Loss for Semi-Supervised Point-Based Crowd Counting
CVPR 2025
POI Recommendation via Multi-Objective Adversarial Imitation Learning
AAAI 2025
PoisonBench: Assessing Language Model Vulnerability to Poisoned Preference Data
ICML 2025
PoisonedEye: Knowledge Poisoning Attack on Retrieval-Augmented Generation based Large Vision-Language Models
ICML 2025
Poisoning-based Backdoor Attacks for Arbitrary Target Label with Positive Triggers
IJCAI 2025
Policy Design in Long-run Welfare Dynamics
ICLR 2025
Policy Teaching via Data Poisoning in Learning from Human Preferences
AISTATS 2025
Political Bias Prediction Models Focus on Source Cues, Not Semantics
AAAI 2025
PolyJoin: Semantic Multi-key Joinable Table Search in Data Lakes
NAACL 2025
PolyNarrative: A Multilingual, Multilabel, Multi-domain Dataset for Narrative Extraction from News Articles
ACL 2025
PolyNorm: Few-Shot LLM-Based Text Normalization for Text-to-Speech
EMNLP 2025
Polysemantic Dropout: Conformal OOD Detection for Specialized LLMs
EMNLP 2025
POMP: Pathology-omics Multimodal Pre-training Framework for Cancer Survival Prediction
IJCAI 2025
PooDLe🐩: Pooled and dense self-supervised learning from naturalistic videos
ICLR 2025
PopAlign: Diversifying Contrasting Patterns for a More Comprehensive Alignment
ACL 2025
POp-GS: Next Best View in 3D-Gaussian Splatting with P-Optimality
CVPR 2025
Population Aware Diffusion for Time Series Generation
AAAI 2025
Population Transformer: Learning Population-level Representations of Neural Activity
ICLR 2025
Portable Reward Tuning: Towards Reusable Fine-Tuning across Different Pretrained Models
ICML 2025
PORTS: Preference-Optimized Retrievers for Tool Selection with Large Language Models
EMNLP 2025
Portuguese Automated Fact-checking: Information Retrieval with Claim extraction
ACL 2025
POS-Aware Neural Approaches for Word Alignment in Dravidian Languages
COLING 2025
PoseStitch-SLT: Linguistically Inspired Pose-Stitching for End-to-End Sign Language Translation
EMNLP 2025
PoseSyn: Synthesizing Diverse 3D Pose Data from In-the-Wild 2D Data
ICCV 2025
Position: An Empirically Grounded Identifiability Theory Will Accelerate Self Supervised Learning Research
ICML 2025