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)
Multi-Modal Recommendation Unlearning for Legal, Licensing, and Modality Constraints
AAAI 2025
Multimodal Retrieval-Augmented Generation: Unified Information Processing Across Text, Image, Table, and Video Modalities
ACL 2025
Multimodal Speech, Language and Orofacial Analysis for Remote Assessment of Positive, Negative and Cognitive Symptoms in Schizophrenia
Interspeech 2025
Multi-Modal Synergistic Implicit Image Enhancement for Efficient Optical Flow Estimation
CVPR 2025
Multimodal Transformers are Hierarchical Modal-wise Heterogeneous Graphs
ACL 2025
Multi-modal Vision Pre-training for Medical Image Analysis
CVPR 2025
Multi-Objective Neural Bandits with Random Scalarization
IJCAI 2025
Multi-Pair Temporal Sentence Grounding via Multi-Thread Knowledge Transfer Network
AAAI 2025
Multi-perspective Alignment for Increasing Naturalness in Neural Machine Translation
ACL 2025
Multiple Feature Refining Network for Visual Emotion Distribution Learning
AAAI 2025
Multiple Purchase Chains with Negative Transfer Elimination for Multi-Behavior Recommendation
AAAI 2025
Multiplex Graph Representation Learning with Homophily and Consistency
AAAI 2025
Multi-Prompting Decoder Helps Better Language Understanding
ACL 2025
MultiReflect: Multimodal Self-Reflective RAG-based Automated Fact-Checking
ACL 2025
Multi-Resolution Guided 3D GANs for Medical Image Translation
WACV 2025
Multi-Resolution Pathology-Language Pre-training Model with Text-Guided Visual Representation
CVPR 2025
Multi-scale Activation, Refinement, and Aggregation: Exploring Diverse Cues for Fine-Grained Bird Recognition
AAAI 2025
Multi-Scale Contrastive Learning for Video Temporal Grounding
AAAI 2025
Multi-Scale Grouped Prototypes for Interpretable Semantic Segmentation
WACV 2025
Multi-Scale Neighborhood Occupancy Masked Autoencoder for Self-Supervised Learning in LiDAR Point Clouds
CVPR 2025
MultiSFL: Towards Accurate Split Federated Learning via Multi-Model Aggregation and Knowledge Replay
AAAI 2025
MultiSocial: Multilingual Benchmark of Machine-Generated Text Detection of Social-Media Texts
ACL 2025
Multispectral Pedestrian Detection with Sparsely Annotated Label
AAAI 2025
Multistage Universal Speech Enhancement System for URGENT Challenge
Interspeech 2025
Multi-subject Open-set Personalization in Video Generation
CVPR 2025