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)
MoLE:Decoding by Mixture of Layer Experts Alleviates Hallucination in Large Vision-Language Models
AAAI 2025
MOL-Mamba: Enhancing Molecular Representation with Structural & Electronic Insights
AAAI 2025
Molmo and PixMo: Open Weights and Open Data for State-of-the-Art Vision-Language Models
CVPR 2025
MolRAG: Unlocking the Power of Large Language Models for Molecular Property Prediction
ACL 2025
Moment Alignment: Unifying Gradient and Hessian Matching for Domain Generalization
UAI 2025
Moment Quantization for Video Temporal Grounding
ICCV 2025
Momentum-GS: Momentum Gaussian Self-Distillation for High-Quality Large Scene Reconstruction
ICCV 2025
Momentum Pseudo-Labeling for Weakly Supervised Phrase Grounding
AAAI 2025
Mondrian: A Framework for Logical Abstract (Re)Structuring
EMNLP 2025
MonoInstance: Enhancing Monocular Priors via Multi-view Instance Alignment for Neural Rendering and Reconstruction
CVPR 2025
Mono-InternVL: Pushing the Boundaries of Monolithic Multimodal Large Language Models with Endogenous Visual Pre-training
CVPR 2025
MonoPP: Metric-Scaled Self-Supervised Monocular Depth Estimation by Planar-Parallax Geometry in Automotive Applications
WACV 2025
MonoSplat: Generalizable 3D Gaussian Splatting from Monocular Depth Foundation Models
CVPR 2025
Monte Carlo Sampling for Analyzing In-Context Examples
NAACL 2025
Moonshine: Distilling Game Content Generators into Steerable Generative Models
AAAI 2025
MOOSS: Mask-Enhanced Temporal Contrastive Learning for Smooth State Evolution in Visual Reinforcement Learning
WACV 2025
MOPSA: Mixture of Prompt-Experts Based Speaker Adaptation for Elderly Speech Recognition
Interspeech 2025
MoRE: A Mixture of Low-Rank Experts for Adaptive Multi-Task Learning
ACL 2025
MoRe: Class Patch Attention Needs Regularization for Weakly Supervised Semantic Segmentation
AAAI 2025
More is not always better? Enhancing Many-Shot In-Context Learning with Differentiated and Reweighting Objectives
ACL 2025
MORE: Molecule Pretraining with Multi-Level Pretext Task
AAAI 2025
MOS-Attack: A Scalable Multi-objective Adversarial Attack Framework
CVPR 2025
mOSCAR: A Large-scale Multilingual and Multimodal Document-level Corpus
ACL 2025
MoSiC: Optimal-Transport Motion Trajectory for Dense Self-Supervised Learning
ICCV 2025
MOS: Model Surgery for Pre-Trained Model-Based Class-Incremental Learning
AAAI 2025