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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'20
'25
Papers (including subtopics)
DeCorrNet: Enhancing Neural Decoding Performance by Eliminating Correlations in Noise
AAAI 2025
Decoupled Distillation to Erase: A General Unlearning Method for Any Class-centric Tasks
CVPR 2025
Decoupled Graph Energy-based Model for Node Out-of-Distribution Detection on Heterophilic Graphs
ICLR 2025
Decoupled Spatio-Temporal Consistency Learning for Self-Supervised Tracking
AAAI 2025
Decoupled Subgraph Federated Learning
ICLR 2025
Decouple-Then-Merge: Finetune Diffusion Models as Multi-Task Learning
CVPR 2025
Decoupling and Reconstructing: A Multimodal Sentiment Analysis Framework Towards Robustness
IJCAI 2025
Decoupling epistemic and aleatoric uncertainties with possibility theory
AISTATS 2025
DECT: Harnessing LLM-assisted Fine-Grained Linguistic Knowledge and Label-Switched and Label-Preserved Data Generation for Diagnosis of Alzheimer’s Disease
AAAI 2025
DeDe: Detecting Backdoor Samples for SSL Encoders via Decoders
CVPR 2025
Deep Associations, High Creativity: A Simple yet Effective Metric for Evaluating Large Language Models
EMNLP 2025
DeePC-Hunt: Data-enabled Predictive Control Hyperparameter Tuning via Differentiable Optimization
L4DC 2025
DeepFeatIoT: Unifying Deep Learned, Randomized, and LLM Features for Enhanced IoT Time Series Sensor Data Classification in Smart Industries
IJCAI 2025
Deep Generative Model for Mechanical System Configuration Design
AAAI 2025
Deep Graph Online Hashing for Multi-Label Image Retrieval
AAAI 2025
Deep Hierarchies and Invariant Disease-Indicative Feature Learning for Computer Aided Diagnosis of Multiple Fundus Diseases
AAAI 2025
Deep Implicit Imitation Reinforcement Learning in Heterogeneous Action Settings
AAAI 2025
Deep Incomplete Multi-view Clustering with Distribution Dual-Consistency Recovery Guidance
ICCV 2025
DeepLayout: Learning Neural Representations of Circuit Placement Layout
ICML 2025
Deep Learning for Multivariate Time Series Imputation: A Survey
IJCAI 2025
Deep Metric Learning for Unsupervised Remote Sensing Change Detection
WACV 2025
DeepMIM: Deep Supervision for Masked Image Modeling
WACV 2025
Deep Multi-modal Graph Clustering via Graph Transformer Network
AAAI 2025
Deep Non-Rigid Structure-from-Motion Revisited: Canonicalization and Sequence Modeling
AAAI 2025
Deep Opinion-Unaware Blind Image Quality Assessment by Learning and Adapting from Multiple Annotators
IJCAI 2025