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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'25
Papers (including subtopics)
DynAlign: Unsupervised Dynamic Taxonomy Alignment for Cross-Domain Segmentation
ICLR 2025
Dynamic Adapter Tuning for Long-Tailed Class-Incremental Learning
WACV 2025
Dynamic Anchor-based Ensemble Clustering via Hypergraph Reconstruction
IJCAI 2025
Dynamic and Generalizable Process Reward Modeling
ACL 2025
Dynamic Assortment Selection and Pricing with Censored Preference Feedback
ICLR 2025
Dynamic Collaboration of Multi-Language Models based on Minimal Complete Semantic Units
EMNLP 2025
Dynamic Contrastive Knowledge Distillation for Efficient Image Restoration
AAAI 2025
Dynamic Contrastive Skill Learning with State-Transition Based Skill Clustering and Dynamic Length Adjustment
ICLR 2025
Dynamic Dictionary Learning for Remote Sensing Image Segmentation
ICCV 2025
Dynamic Energy-Based Contrastive Learning with Multi-Stage Knowledge Verification for Event Causality Identification
EMNLP 2025
Dynamic Entity-Masked Graph Diffusion Model for Histopathology Image Representation Learning
AAAI 2025
Dynamic Epistemic Friction in Dialogue
CoNLL 2025
Dynamic Expansion Diffusion Learning for Lifelong Generative Modelling
AAAI 2025
Dynamic Expert Specialization: Towards Catastrophic Forgetting-Free Multi-Domain MoE Adaptation
EMNLP 2025
Dynamic Group Detection using VLM-augmented Temporal Groupness Graph
ICCV 2025
Dynamic Higher-Order Relations and Event-Driven Temporal Modeling for Stock Price Forecasting
IJCAI 2025
DynamicID: Zero-Shot Multi-ID Image Personalization with Flexible Facial Editability
ICCV 2025
Dynamic Integration of Task-Specific Adapters for Class Incremental Learning
CVPR 2025
Dynamic Interactive Bimodal Hypergraph Networks for Emotion Recognition in Conversations
AAAI 2025
Dynamic Jointly Batch Selection for Data Efficient Machine Translation Fine-Tuning
EMNLP 2025
Dynamic Model-Bank Test-Time Adaptation for Automatic Speech Recognition
EMNLP 2025
Dynamic Multi-Interest Graph Neural Network for Session-Based Recommendation
AAAI 2025
Dynamic Multi-Layer Null Space Projection for Vision-Language Continual Learning
ICCV 2025
Dynamic Multimodal Prototype Learning in Vision-Language Models
ICCV 2025
Dynamic Multiple High-order Correlations Fusion with Noise Filtering for Incomplete Multi-view Noisy-label Learning
IJCAI 2025