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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Papers (including subtopics)
Dynamic Neighborhood Modeling via Node-Subgraph Contrastive Learning for Graph-Based Fraud Detection
AAAI 2025
DynamicNER: A Dynamic, Multilingual, and Fine-Grained Dataset for LLM-based Named Entity Recognition
EMNLP 2025
Dynamic Order Template Prediction for Generative Aspect-Based Sentiment Analysis
ACL 2025
Dynamic Prefix as Instructor for Incremental Named Entity Recognition: A Unified Seq2Seq Generation Framework
ACL 2025
Dynamic-prototype Contrastive Fine-tuning for Continual Few-shot Relation Extraction with Unseen Relation Detection
COLING 2025
Dynamic Pseudo Labeling via Gradient Cutting for High-Low Entropy Exploration
CVPR 2025
Dynamic Reference Extraction and Linking across Multiple Scholarly Knowledge Graphs
AACL 2025
Dynamic Retriever for In-Context Knowledge Editing via Policy Optimization
EMNLP 2025
Dynamic Scaling of Unit Tests for Code Reward Modeling
ACL 2025
Dynamic Stereotype Theory Induced Micro-expression Recognition with Oriented Deformation
CVPR 2025
Dynamic Syntactic Feature Filtering and Injecting Networks for Cross-lingual Dependency Parsing
AAAI 2025
Dynamic Target Distribution Estimation for Source-Free Open-Set Domain Adaptation
AAAI 2025
Dynamic Task Vector Grouping for Efficient Multi-Task Prompt Tuning
ACL 2025
Dynamic Uncertainty Estimation for Offline Reinforcement Learning
AAAI 2025
Dynamic Uncertainty Ranking: Enhancing Retrieval-Augmented In-Context Learning for Long-Tail Knowledge in LLMs
NAACL 2025
DynaPrompt: Dynamic Test-Time Prompt Tuning
ICLR 2025
DynaQuest: A Dynamic Question Answering Dataset Reflecting Real-World Knowledge Updates
ACL 2025
DynASyn: Multi-Subject Personalization Enabling Dynamic Action Synthesis
AAAI 2025
DynClean: Training Dynamics-based Label Cleaning for Distantly-Supervised Named Entity Recognition
NAACL 2025
DynFocus: Dynamic Cooperative Network Empowers LLMs with Video Understanding
CVPR 2025
DynRank: Improve Passage Retrieval with Dynamic Zero-Shot Prompting Based on Question Classification
COLING 2025
DyPCL: Dynamic Phoneme-level Contrastive Learning for Dysarthric Speech Recognition
NAACL 2025
Dyve: Thinking Fast and Slow for Dynamic Process Verification
EMNLP 2025
DyWA: Dynamics-adaptive World Action Model for Generalizable Non-prehensile Manipulation
ICCV 2025
E2LLM: Encoder Elongated Large Language Models for Long-Context Understanding and Reasoning
EMNLP 2025