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)
DeepResearcher: Scaling Deep Research via Reinforcement Learning in Real-world Environments
EMNLP 2025
DeepShade: Enable Shade Simulation by Text-conditioned Image Generation
IJCAI 2025
DeepShield: Fortifying Deepfake Video Detection with Local and Global Forgery Analysis
ICCV 2025
DeepSN: A Sheaf Neural Framework for Influence Maximization
AAAI 2025
DEEPTalk: Dynamic Emotion Embedding for Probabilistic Speech-Driven 3D Face Animation
AAAI 2025
Deep-Union Completion
AAAI 2025
Deep Unsupervised Hashing via External Guidance
ICML 2025
Deep Variational Multivariate Information Bottleneck - A Framework for Variational Losses
JMLR 2025
Defending Against Repetitive Backdoor Attacks on Semi-Supervised Learning through Lens of Rate-Distortion-Perception Trade-Off
WACV 2025
Defending Against Sophisticated Poisoning Attacks with RL-based Aggregation in Federated Learning
AAAI 2025
Defending Large Language Models against Jailbreak Attacks via Semantic Smoothing
IJCNLP 2025
Defense Against Model Stealing Based on Account-Aware Distribution Discrepancy
AAAI 2025
Defense Against Prompt Injection Attack by Leveraging Attack Techniques
ACL 2025
DeFine: Decision-Making with Analogical Reasoning over Factor Profiles
ACL 2025
Defining and Quantifying Visual Hallucinations in Vision-Language Models
NAACL 2025
Definition Generation for Word Meaning Modeling: Monolingual, Multilingual, and Cross-Lingual Perspectives
EMNLP 2025
DeFSS: Image-to-Mask Denoising Learning for Few-shot Segmentation
ICCV 2025
DeGauss: Dynamic-Static Decomposition with Gaussian Splatting for Distractor-free 3D Reconstruction
ICCV 2025
Dehaze-RetinexGAN: Real-World Image Dehazing via Retinex-based Generative Adversarial Network
AAAI 2025
Déjà Vu? Decoding Repeated Reading from Eye Movements
ACL 2025
Delay as Payoff in MAB
AAAI 2025
Deliberate Reasoning in Language Models as Structure-Aware Planning with an Accurate World Model
ACL 2025
DELIFT: Data Efficient Language model Instruction Fine-Tuning
ICLR 2025
Deloitte (Drocks) at the Financial Misinformation Detection Challenge Task: Enhancing Misinformation Detection through Instruction-Tuned Models
COLING 2025
Delta-KNN: Improving Demonstration Selection in In-Context Learning for Alzheimer’s Disease Detection
ACL 2025