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)
SMEC:Rethinking Matryoshka Representation Learning for Retrieval Embedding Compression
EMNLP 2025
SMILE: A Scale-aware Multiple Instance Learning Method for Multicenter STAS Lung Cancer Histopathology Diagnosis
IJCAI 2025
SMILE: Infusing Spatial and Motion Semantics in Masked Video Learning
CVPR 2025
SmolLab_SEU at BEA 2025 Shared Task: A Transformer-Based Framework for Multi-Track Pedagogical Evaluation of AI-Powered Tutors
ACL 2025
Smoothness Really Matters: A Simple Yet Effective Approach for Unsupervised Graph Domain Adaptation
AAAI 2025
SMR-Net: Semantic-Guided Mutually Reinforcing Network for Cross-Modal Image Fusion and Salient Object Detection
AAAI 2025
SMSTracker: Tri-path Score Mask Sigma Fusion for Multi-Modal Tracking
ICCV 2025
Snakes and Ladders: Two Steps Up for VideoMamba
ICCV 2025
SNaRe: Domain-aware Data Generation for Low-Resource Event Detection
EMNLP 2025
SnowMaster: Comprehensive Real-world Image Desnowing via MLLM with Multi-Model Feedback Optimization
CVPR 2025
SNR-Aligned Consistent Diffusion for Adaptive Speech Enhancement
Interspeech 2025
SocialForge: simulating the social internet to provide realistic training against influence operations
ACL 2025
Social Hatred: Efficient Multimodal Detection of Hatemongers
ACL 2025
Socialized Coevolution: Advancing a Better World through Cross-Task Collaboration
ICML 2025
SoftCoT: Soft Chain-of-Thought for Efficient Reasoning with LLMs
ACL 2025
Soft Self-labeling and Potts Relaxations for Weakly-supervised Segmentation
CVPR 2025
Soft Separation and Distillation: Toward Global Uniformity in Federated Unsupervised Learning
ICCV 2025
SoftShadow: Leveraging Soft Masks for Penumbra-Aware Shadow Removal
CVPR 2025
SoftVQ-VAE: Efficient 1-Dimensional Continuous Tokenizer
CVPR 2025
Solving hidden monotone variational inequalities with surrogate losses
ICLR 2025
Solving Instance Detection from an Open-World Perspective
CVPR 2025
SOMD 2025: Fine-tuning ModernBERT for In- and Out-of-Distribution NER and Relation Extraction of Software Mentions in Scientific Texts
ACL 2025
Something’s Fishy in the Data Lake: A Critical Re-evaluation of Table Union Search Benchmarks
ACL 2025
SONAR-SLT: Multilingual Sign Language Translation via Language-Agnostic Sentence Embedding Supervision
EMNLP 2025
Sonata: Self-Supervised Learning of Reliable Point Representations
CVPR 2025