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)
Stabilizing Reinforcement Learning in Differentiable Multiphysics Simulation
ICLR 2025
Stabilizing Sample Similarity in Representation via Mitigating Random Consistency
ICML 2025
StableAnimator: High-Quality Identity-Preserving Human Image Animation
CVPR 2025
StableDepth: Scene-Consistent and Scale-Invariant Monocular Depth
ICCV 2025
Stable Diffusion Models are Secretly Good at Visual In-Context Learning
ICCV 2025
Stable Hadamard Memory: Revitalizing Memory-Augmented Agents for Reinforcement Learning
ICLR 2025
StableVC: Style Controllable Zero-Shot Voice Conversion with Conditional Flow Matching
AAAI 2025
STACKFEED: Structured Textual Actor-Critic Knowledge base editing with FEEDback
EMNLP 2025
Stacking Brick by Brick: Aligned Feature Isolation for Incremental Face Forgery Detection
CVPR 2025
STAIR: Manipulating Collaborative and Multimodal Information for E-Commerce Recommendation
AAAI 2025
Standing on the Shoulders of Giants: Reprogramming Visual-Language Model for General Deepfake Detection
AAAI 2025
Stanford MLab at SemEval-2025 Task 11: Track B–Emotion Intensity Detection
SemEval 2025
StarGAN-Aug: A Cross-domain Fault Audio Generation Method for High-performance Fault Diagnosis of Power Transformers
Interspeech 2025
STAR: Synthesis of Tailored Architectures
ICLR 2025
StarVC: A Unified Auto-Regressive Framework for Joint Text and Speech Generation in Voice Conversion
Interspeech 2025
StateCloud at Critical Questions Generation: Prompt Engineering for Critical Question Generation
ACL 2025
State Feedback Enhanced Graph Differential Equations for Multivariate Time Series Forecasting
IJCAI 2025
State-offset Tuning: State-based Parameter-Efficient Fine-Tuning for State Space Models
ACL 2025
Statistical Inference for Feature Selection after Optimal Transport-based Domain Adaptation
AISTATS 2025
StdGEN: Semantic-Decomposed 3D Character Generation from Single Images
CVPR 2025
STD-PLM: Understanding Both Spatial and Temporal Properties of Spatial-Temporal Data with PLM
AAAI 2025
Stealthy Backdoor Attack in Self-Supervised Learning Vision Encoders for Large Vision Language Models
CVPR 2025
Steering Deep Non-Linear Spatially Selective Filters for Weakly Guided Extraction of Moving Speakers in Dynamic Scenarios
Interspeech 2025
Steering Guidance for Personalized Text-to-Image Diffusion Models
ICCV 2025
Steering LVLMs via Sparse Autoencoder for Hallucination Mitigation
EMNLP 2025