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)
SRCB at SemEval-2026 Task 5 A Multi-Target Finetuning Framework for Large Language Models with Joint Regression and Text Generation
SemEval 2026
SSA: Improving Performance With a Better Scoring Function
ACL 2026
SSCL: Adversarially Guided Image Compression via Semantic and Spectral Consistency Learning
AAAI 2026
SSN-CSE-CODECATALYSTS at SemEval-2026 Task 13: Integrating Transformer Semantics and AST-Derived Structural Features for AI-Generated Code Detection.
SemEval 2026
Stability-Driven Motion Generation for Object-Guided Human-Human Co-Manipulation
CVPR 2026
Stabilizing Feature Geometry in Noisy Pretrained Models for Robust Downstream Tasks
CVPR 2026
Stable and Efficient Single-Rollout RL for Multimodal Reasoning
CVPR 2026
StableMaterials: Enhancing Diversity in Material Generation via Semi-Supervised Learning
CVPR 2026
StableMTL: Repurposing Latent Diffusion Models for Multi-Task Learning from Partially Annotated Synthetic Datasets
CVPR 2026
StainNet: Scaling Self-Supervised Foundation Models on Immunohistochemistry and Special Stains for Computational Pathology
MIDL 2026
Stake the Points: Structure-Faithful Instance Unlearning
CVPR 2026
StaMo: Unsupervised Learning of Generalizable Robot Motion from Compact State Representation
CVPR 2026
StanceLab at SemEval-2026 Task 9: Addressing Class Imbalance in Multilingual Polarization Detection
SemEval 2026
STARFlow-V: End-to-End Video Generative Modeling with Autoregressive Normalizing Flows
CVPR 2026
StaR-KVQA: Structured Reasoning Traces for Implicit-Knowledge Visual Question Answering
CVPR 2026
STARS: Self-supervised Tuning for 3D Action Recognition in Skeleton Sequences
WACV 2026
STAR: Test-Time Adaptation Can Enhance Universal Prompt Learning for Vision-Language Models
CVPR 2026
Statistical guarantees for denoising reflected diffusion models
JMLR 2026
STCast: Adaptive Boundary Alignment for Global and Regional Weather Forecasting
CVPR 2026
Stealing Split Learning Bottom Models by Recovering Embedding Geometry
CVPR 2026
Step-GRPO: Internalizing Dynamic Early Exit for Efficient Reasoning
ACL 2026
Stepwise Credit Assignment for GRPO on Flow-Matching Models
CVPR 2026
STK-Adapter: Incorporating Evolving Graph and Event Chain for Temporal Knowledge Graph Extrapolation
ACL 2026
Stochastic Gradient Descenders at SemEval-2026 Task 9: Few-Shot LLM Prompting for Polarization Type Classification
SemEval 2026
Stop Hardening Everything: A Training-Free Neuron-Level Defense for Neural Ranking Models
ACL 2026