Learning Types
32,670 papers (1 classified directly here)
Subtopics · a paper can sit in several, so these overlap
Representation Learning (5,307)
Multimodal Learning (3,969)
Self-Supervised Learning (3,492)
Transfer Learning (2,890)
Adversarial Learning (2,199)
Deep Learning (1,883)
Contrastive Learning (1,730)
Reinforcement Learning (1,500)
Knowledge Distillation (1,494)
Fine-Tuning (1,117)
Multi-Task Learning (1,069)
Domain Adaptation (977)
Zero-Shot Learning (758)
Unsupervised Learning (734)
Few-Shot Learning (694)
Classification (621)
Retrieval-Augmented Generation (606)
Data Augmentation (583)
Semi-Supervised Learning (450)
Weakly Supervised Learning (429)
Continual Learning (408)
In-Context Learning (387)
Sequence Modeling (375)
Meta-Learning (252)
Metric Learning (232)
Ensemble Learning (223)
Federated Learning (215)
Multi-Lingual Learning (199)
Robustness (197)
Parameter-Efficient Fine-Tuning (190)
Imitation Learning (180)
Prompt Engineering (170)
Chain-of-Thought Reasoning (153)
Curriculum Learning (146)
Synthetic Data Generation (143)
Reinforcement Learning from Human Feedback (141)
Multi-Label Classification (123)
Regression (117)
Generative Model (109)
Semantic Segmentation (106)
Domain Generalization (105)
Uncertainty Quantification (98)
Controllable Generation (93)
Text Generation (86)
Neural Architecture Search (80)
Object Detection (80)
Image Generation (79)
Multi-Agent Systems (76)
Feature Learning (74)
Preference Learning (73)
Machine Translation (71)
Out-of-Distribution Detection (68)
Machine Unlearning (63)
Generation (61)
Reasoning (54)
Multi-View Learning (53)
Time Series (52)
Instruction Tuning (50)
Distributed Learning (50)
Image Restoration (49)
Chain-of-Thought (48)
Active Learning (47)
Text Classification (43)
Distribution Shift (43)
Structured Prediction (42)
Clustering (41)
Image Classification (40)
Model Merging (37)
Sparse Learning (36)
Sequence Labeling (36)
Multi-Instance Learning (35)
Anomaly Detection (33)
Image Processing (33)
Code Generation (31)
Fairness (30)
Robust Learning (28)
Multi-Domain Learning (27)
Supervised Learning (26)
Model-Based RL (25)
Natural Language Generation (24)
Privacy (21)
Multi-Objective Optimization (19)
Multi-Scale Learning (19)
Neural Machine Translation (18)
Causal Inference (14)
Instance Segmentation (9)
Interactive Learning (9)
Multi-Label Learning (9)
Multi-Source Learning (9)
Multi-Class Classification (8)
Papers per year
1
22
25
29
26
38
46
60
109
129
179
310
686
1,294
2,286
3,018
3,254
3,930
4,067
4,819
5,737
2,605
'10
'15
'20
'25
Papers (including subtopics)
MagicID: Hybrid Preference Optimization for ID-Consistent and Dynamic-Preserved Video Customization
ICCV 2025
MAGMA: Manifold Regularization for MAEs
WACV 2025
MAGNET: Augmenting Generative Decoders with Representation Learning and Infilling Capabilities
ACL 2025
Magnet: Multi-turn Tool-use Data Synthesis and Distillation via Graph Translation
ACL 2025
Magpie: Alignment Data Synthesis from Scratch by Prompting Aligned LLMs with Nothing
ICLR 2025
MAIN-RAG: Multi-Agent Filtering Retrieval-Augmented Generation
ACL 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
Making Large Vision Language Models to Be Good Few-Shot Learners
AAAI 2025
Making LLMs Better Many-to-Many Speech-to-Text Translators with Curriculum Learning
ACL 2025
Making LVLMs Look Twice: Contrastive Decoding with Contrast Images
ACL 2025
Making VLMs More Robot-Friendly: Self-Critical Distillation of Low-Level Procedural Reasoning
EMNLP 2025
MALoRA: Mixture of Asymmetric Low-Rank Adaptation for Enhanced Multi-Task Learning
NAACL 2025
Mamba-Based Graph Convolutional Networks: Tackling Over-smoothing with Selective State Space
IJCAI 2025
Mamba-based Hybrid Model for Speech Enhancement
Interspeech 2025
MambaPro: Multi-Modal Object Re-identification with Mamba Aggregation and Synergistic Prompt
AAAI 2025
Mamba-Reg: Vision Mamba Also Needs Registers
CVPR 2025
MammAlps: A Multi-view Video Behavior Monitoring Dataset of Wild Mammals in the Swiss Alps
CVPR 2025
MAmmoTH-VL: Eliciting Multimodal Reasoning with Instruction Tuning at Scale
ACL 2025
Manhattan Self-Attention Diffusion Residual Networks with Dynamic Bias Rectification for BCI-based Few-Shot Learning
AAAI 2025
Manifolds, Random Matrices and Spectral Gaps: The geometric phases of generative diffusion
ICLR 2025
ManipTrans: Efficient Dexterous Bimanual Manipulation Transfer via Residual Learning
CVPR 2025
MANTA: A Large-Scale Multi-View and Visual-Text Anomaly Detection Dataset for Tiny Objects
CVPR 2025
Manta: Enhancing Mamba for Few-Shot Action Recognition of Long Sub-Sequence
AAAI 2025
Many-Objective Multi-Solution Transport
ICLR 2025