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)
Multimodal Self-Instruct: Synthetic Abstract Image and Visual Reasoning Instruction Using Language Model
EMNLP 2024
Multi-modal Stance Detection: New Datasets and Model
ACL 2024
Multimodal Table Understanding
ACL 2024
Multimodal Task Vectors Enable Many-Shot Multimodal In-Context Learning
NeurIPS 2024
Multi-modal Transfer Learning between Biological Foundation Models
NeurIPS 2024
Multi-Object Hallucination in Vision Language Models
NeurIPS 2024
Multi-Objective Linguistic Control of Large Language Models
ACL 2024
MultiOrg: A Multi-rater Organoid-detection Dataset
NeurIPS 2024
Multiple Hypothesis Dropout: Estimating the Parameters of Multi-Modal Output Distributions
AAAI 2024
Multi-Region Text-Driven Manipulation of Diffusion Imagery
AAAI 2024
Multi-Scale Video Anomaly Detection by Multi-Grained Spatio-Temporal Representation Learning
CVPR 2024
Multi-Sender Persuasion: A Computational Perspective
ICML 2024
Multisize Dataset Condensation
ICLR 2024
Multi-Source Diffusion Models for Simultaneous Music Generation and Separation
ICLR 2024
Multi-Space Alignments Towards Universal LiDAR Segmentation
CVPR 2024
Multistage Collaborative Knowledge Distillation from a Large Language Model for Semi-Supervised Sequence Generation
ACL 2024
Multi-Stage Predict+Optimize for (Mixed Integer) Linear Programs
NeurIPS 2024
Multi-Task Network Guided Multimodal Fusion for Fake News Detection
ACML 2024
Multivariate Probabilistic Time Series Forecasting with Correlated Errors
NeurIPS 2024
MultiVerse: Efficient and Expressive Zero-Shot Multi-Task Text-to-Speech
EMNLP 2024
Multi-view Aggregation Network for Dichotomous Image Segmentation
CVPR 2024
Multi-View Classification Using Hybrid Fusion and Mutual Distillation
WACV 2024
Multi-view Masked Contrastive Representation Learning for Endoscopic Video Analysis
NeurIPS 2024
Multi-View People Detection in Large Scenes via Supervised View-Wise Contribution Weighting
AAAI 2024
Multi-world Model in Continual Reinforcement Learning
AAAI 2024