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)
Feature Denoising Diffusion Model for Blind Image Quality Assessment
AAAI 2025
Feature Engineering is not Dead: A Step Towards State of the Art for Arabic Automated Essay Scoring
EMNLP 2025
Feature Extraction and Representation of Pre-training Point Cloud Based on Diffusion Models
ICCV 2025
Feature Fusion Transferability Aware Transformer for Unsupervised Domain Adaptation
WACV 2025
Feature-Level and Spatial-Level Activation Expansion for Weakly-Supervised Semantic Segmentation
WACV 2025
Feature Space Perturbation: A Panacea to Enhanced Transferability Estimation
WACV 2025
FEAT-writing: An Interactive Training System for Argumentative Writing
COLING 2025
FE-CLIP: Frequency Enhanced CLIP Model for Zero-Shot Anomaly Detection and Segmentation
ICCV 2025
FedAA: A Reinforcement Learning Perspective on Adaptive Aggregation for Fair and Robust Federated Learning
AAAI 2025
FedAGC: Federated Continual Learning with Asymmetric Gradient Correction
ICCV 2025
FedCFA: Alleviating Simpson’s Paradox in Model Aggregation with Counterfactual Federated Learning
AAAI 2025
FedCPD:Personalized Federated Learning with Prototype-Enhanced Representation and Memory Distillation
IJCAI 2025
FedCross: Intertemporal Federated Learning Under Evolutionary Games
AAAI 2025
FedCS: Coreset Selection for Federated Learning
CVPR 2025
FedCSR: A Federated Framework for Multi-Platform Cross-Domain Sequential Recommendation with Dual Contrastive Learning
COLING 2025
Fed-DFA: Federated Distillation for Heterogeneous Model Fusion Through the Adversarial Lens
AAAI 2025
FedDifRC: Unlocking the Potential of Text-to-Image Diffusion Models in Heterogeneous Federated Learning
ICCV 2025
FedDLAD: A Federated Learning Dual-Layer Anomaly Detection Framework for Enhancing Resilience Against Backdoor Attacks
IJCAI 2025
FedDQC: Data Quality Control in Federated Instruction-tuning of Large Language Models
ACL 2025
Federated Causally Invariant Feature Learning
AAAI 2025
Federated Class-Heterogeneous Report Labeling with Surgical Aggregation
MIDL 2025
Federated Class-Incremental Learning: A Hybrid Approach Using Latent Exemplars and Data-Free Techniques to Address Local and Global Forgetting
ICLR 2025
Federated Communication-Efficient Multi-Objective Optimization
AISTATS 2025
Federated-Continual Dynamic Segmentation of Histopathology Guided by Barlow Continuity
WACV 2025
Federated Continual Instruction Tuning
ICCV 2025