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)
Memory-Efficient Pseudo-Labeling for Online Source-Free Universal Domain Adaptation using a Gaussian Mixture Model
WACV 2025
Memory Mosaics
ICLR 2025
MENTOR: Human Perception-Guided Pretraining for Increased Generalization
WACV 2025
MENTOR: Multi-level Self-supervised Learning for Multimodal Recommendation
AAAI 2025
MEraser: An Effective Fingerprint Erasure Approach for Large Language Models
ACL 2025
Merge Hijacking: Backdoor Attacks to Model Merging of Large Language Models
ACL 2025
MergeNet: Knowledge Migration Across Heterogeneous Models, Tasks, and Modalities
AAAI 2025
Merge then Realign: Simple and Effective Modality-Incremental Continual Learning for Multimodal LLMs
EMNLP 2025
Merging Mechanisms for Ads and Organic Items in E-commerce Platforms
AAAI 2025
MERIT: Multi-Agent Collaboration for Unsupervised Time Series Representation Learning
ACL 2025
MESC-3D:Mining Effective Semantic Cues for 3D Reconstruction from a Single Image
CVPR 2025
MeshMask: Physics-Based Simulations with Masked Graph Neural Networks
ICLR 2025
Mesh Watermark Removal Attack and Mitigation: A Novel Perspective of Function Space
AAAI 2025
Met2Net: A Decoupled Two-Stage Spatio-Temporal Forecasting Model for Complex Meteorological Systems
ICCV 2025
MetaAlign: Align Large Language Models with Diverse Preferences during Inference Time
NAACL 2025
Meta-Continual Learning of Neural Fields
ICLR 2025
Metadata Generation for Research Data from URL Citation Contexts in Scholarly Papers: Task Definition and Dataset Construction
AACL 2025
MetaFaith: Faithful Natural Language Uncertainty Expression in LLMs
EMNLP 2025
Meta Label Correction with Generalization Regularizer
IJCAI 2025
Meta-Learning Dynamic Center Distance: Hard Sample Mining for Learning with Noisy Labels
ICCV 2025
Meta-Learning for Color-to-Infrared Cross-Modal Style Transfer
WACV 2025
Meta-Learning Hyperparameters for Parameter Efficient Fine-Tuning
CVPR 2025
Meta-learning Task-specific Regularization Weights for Few-shot Linear Regression
AISTATS 2025
Metalic: Meta-Learning In-Context with Protein Language Models
ICLR 2025
MetaMixSpeech: Meta Task Augmentation for Low-Resource Speech Recognition
EMNLP 2025