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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Papers (including subtopics)
MaFeRw: Query Rewriting with Multi-Aspect Feedbacks for Retrieval-Augmented Large Language Models
AAAI 2025
MAFMO: Multi-modal Adaptive Fusion with Meta-template Optimization for Vision-Language Models
EMNLP 2025
MagicColor: Multi-Instance Sketch Colorization
ICCV 2025
MAGIC: Generating Self-Correction Guideline for In-Context Text-to-SQL
AAAI 2025
MagicID: Hybrid Preference Optimization for ID-Consistent and Dynamic-Preserved Video Customization
ICCV 2025
MAGMA: Manifold Regularization for MAEs
WACV 2025
MA-GTS: A Multi-Agent Framework for Solving Complex Graph Problems in Real-World Applications
EMNLP 2025
Mahānāma: A Unique Testbed for Literary Entity Discovery and Linking
EMNLP 2025
MAI: A Multi-turn Aggregation-Iteration Model for Composed Image Retrieval
ICLR 2025
MAIN: Mutual Alignment Is Necessary for instruction tuning
EMNLP 2025
MaintaAvatar: A Maintainable Avatar Based on Neural Radiance Fields by Continual Learning
AAAI 2025
Maintaining Consistent Inter-Class Topology in Continual Test-Time Adaptation
CVPR 2025
Maintaining Fairness in Logit-based Knowledge Distillation for Class-Incremental Learning
AAAI 2025
Make Domain Shift a Catastrophic Forgetting Alleviator in Class-Incremental Learning
AAAI 2025
Make Every Penny Count: Difficulty-Adaptive Self-Consistency for Cost-Efficient Reasoning
NAACL 2025
Make Haste Slowly: A Theory of Emergent Structured Mixed Selectivity in Feature Learning ReLU Networks
ICLR 2025
Make Imagination Clearer! Stable Diffusion-based Visual Imagination for Multimodal Machine Translation
ACL 2025
Make Satire Boring Again: Reducing Stylistic Bias of Satirical Corpus by Utilizing Generative LLMs
COLING 2025
Make VLM Recognize Visual Hallucination on Cartoon Character Image with Pose Information
WACV 2025
Making Every Step Effective: Jailbreaking Large Vision-Language Models Through Hierarchical KV Equalization
EMNLP 2025
Making Language Models Robust Against Negation
NAACL 2025
Making LVLMs Look Twice: Contrastive Decoding with Contrast Images
ACL 2025
Making Text Embedders Few-Shot Learners
ICLR 2025
MALAMUTE: A Multilingual, Highly-granular, Template-free, Education-based Probing Dataset
ACL 2025
MalCL: Leveraging GAN-Based Generative Replay to Combat Catastrophic Forgetting in Malware Classification
AAAI 2025