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)
Scalable Object Relation Encoding for Better 3D Spatial Reasoning in Large Language Models
CVPR 2026
Scaling4D: Pushing the Frontier of Video Novel View Synthesis through Large-Scale Monocular Videos
CVPR 2026
Scaling Dense Event-Stream Pretraining from Visual Foundation Models
CVPR 2026
Scaling Instruction-Based Video Editing with a High-Quality Synthetic Dataset
CVPR 2026
Scaling Law for Multimodal Large Language Model Supervised Fine-Tuning
ACL 2026
Scaling Up AI-Generated Image Detection with Generator-Aware Prototypes
CVPR 2026
Scaling Zero-Shot Reference-to-Video Generation
CVPR 2026
SCAPO: Self-Supervised Category-Level Articulated Pose Estimation from a Single 3D Observation
CVPR 2026
Scene-Centric Unsupervised Video Panoptic Segmentation
CVPR 2026
schmerle at SemEval-2026 Task 4: Exploring Large Language Model Prompting Strategies for Low-Resource Narrative Similarity Detection
SemEval 2026
SCIEval: Evaluating and Benchmarking the Faithfulness of Scientific Image Generation and Interpretation with Large Multimodal Models
CVPR 2026
Scmhl5 at SemEval-2026 Task 3: Uncertainty-Aware Adversarial Learning for Embedding Enhancement in Dimensional Aspect-Based Sentiment Analysis
SemEval 2026
ScoliGaitX: A Deep Multi-Modal Fusion Network for Scoliosis Assessment via Gait Video Analysis
WACV 2026
Score2Instruct: Scaling Up Video Quality-Centric Instructions via Automated Dimension Scoring
CVPR 2026
Score-Regularized Joint Sampling with Importance Weights for Flow Matching
UAI 2026
SCUMesclab at SemEval-2026 Task 3: An Adaptive Dual-Track Framework for Dimensional Aspect-Based Sentiment Analysis
SemEval 2026
SCUZANE at SemEval-2026 Task 3: Dimensional Aspect-based Sentiment Analysis with Supervised Contrastive Regression and R-Drop Regularization
SemEval 2026
SDDF: Specificity-Driven Dynamic Focusing for Open-Vocabulary Camouflaged Object Detection
CVPR 2026
SD-FSMIS: Adapting Stable Diffusion for Few-Shot Medical Image Segmentation
CVPR 2026
SDiaReward: Modeling and Benchmarking Spoken Dialogue Rewards with Modality and Colloquialness
ACL 2026
SDUIE: Semi-Supervised Diffusion for Underwater Image Enhancement with Quant-Text Dual Control
CVPR 2026
SEA-BED: How Do Embedding Models Represent Southeast Asian Languages?
ACL 2026
Sea-CLIP: Mining Semantic-Aware Representations for Few-Shot Anomaly Detection with CLIP
WACV 2026
SECOS: Semantic Capture for Rigorous Classification in Open-World Semi-Supervised Learning
CVPR 2026
SecureGate: Learning When to Reveal PII Safely via Token-Gated Dual-Adapters for Federated LLMs
ACL 2026