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)
Drafting and Revision: Advancing High-Fidelity Video Inpainting
IJCAI 2025
DrAgent: Empowering Large Language Models as Medical Agents for Multi-hop Medical Reasoning
EMNLP 2025
DRAMA: Diverse Augmentation from Large Language Models to Smaller Dense Retrievers
ACL 2025
Drawing Informative Gradients from Sources: A One-stage Transfer Learning Framework for Cross-city Spatiotemporal Forecasting
AAAI 2025
DreamActor-M1: Holistic, Expressive and Robust Human Image Animation with Hybrid Guidance
ICCV 2025
DreamBlend: Advancing Personalized Fine-Tuning of Text-to-Image Diffusion Models
WACV 2025
DREAM: Decoupled Discriminative Learning with Bigraph-aware Alignment for Semi-supervised 2D-3D Cross-modal Retrieval
AAAI 2025
DreamDistribution: Learning Prompt Distribution for Diverse In-distribution Generation
ICLR 2025
DreamSync: Aligning Text-to-Image Generation with Image Understanding Feedback
NAACL 2025
DreamTrack: Dreaming the Future for Multimodal Visual Object Tracking
CVPR 2025
Dreamweaver: Learning Compositional World Models from Pixels
ICLR 2025
DReSD: Dense Retrieval for Speculative Decoding
ACL 2025
DrFrattn: Directly Learn Adaptive Policy from Attention for Simultaneous Machine Translation
EMNLP 2025
Drift: Decoding-time Personalized Alignments with Implicit User Preferences
EMNLP 2025
Drivel-ology: Challenging LLMs with Interpreting Nonsense with Depth
EMNLP 2025
DriveX: Omni Scene Modeling for Learning Generalizable World Knowledge in Autonomous Driving
ICCV 2025
Driving Chinese Spelling Correction from a Fine-Grained Perspective
COLING 2025
DrivingGPT: Unifying Driving World Modeling and Planning with Multi-modal Autoregressive Transformers
ICCV 2025
DRL: Decomposed Representation Learning for Tabular Anomaly Detection
ICLR 2025
Droid: A Resource Suite for AI-Generated Code Detection
EMNLP 2025
DRoP: Distributionally Robust Data Pruning
ICLR 2025
Drop Dropout on Single Epoch Language Model Pretraining
ACL 2025
DRPruning: Efficient Large Language Model Pruning through Distributionally Robust Optimization
ACL 2025
DRS: Deep Question Reformulation With Structured Output
ACL 2025
Dr. Tongue: Sign-Oriented Multi-label Detection for Remote Tongue Diagnosis
AAAI 2025