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)
Self-Corrected Flow Distillation for Consistent One-Step and Few-Step Image Generation
AAAI 2025
Self-Correcting Code Generation Using Small Language Models
EMNLP 2025
Self-Correction is More than Refinement: A Learning Framework for Visual and Language Reasoning Tasks
ACL 2025
Self-Error-Instruct: Generalizing from Errors for LLMs Mathematical Reasoning
ACL 2025
Self-Evolutionary Large Language Models Through Uncertainty-Enhanced Preference Optimization
AAAI 2025
Self-Evolving Visual Concept Library using Vision-Language Critics
CVPR 2025
Self-Expansion of Pre-trained Models with Mixture of Adapters for Continual Learning
CVPR 2025
Self-Foveate: Enhancing Diversity and Difficulty of Synthesized Instructions from Unsupervised Text via Multi-Level Foveation
ACL 2025
Self-Improvement in Multimodal Large Language Models: A Survey
EMNLP 2025
Self-Instructed Derived Prompt Generation Meets In-Context Learning: Unlocking New Potential of Black-Box LLMs
ACL 2025
Self-Organizing Visual Prototypes for Non-Parametric Representation Learning
ICML 2025
Self-Prompting Analogical Reasoning for UAV Object Detection
AAAI 2025
Self-Reasoning Language Models: Unfold Hidden Reasoning Chains with Few Reasoning Catalyst
ACL 2025
Self-Supervised Collaborative Information Bottleneck for Text Readability Assessment
AAAI 2025
Self-supervised ControlNet with Spatio-Temporal Mamba for Real-world Video Super-resolution
CVPR 2025
Self-Supervised Learning for Color Spike Camera Reconstruction
CVPR 2025
Self-supervised Learning of Hybrid Part-aware 3D Representations of 2D Gaussians and Superquadrics
ICCV 2025
Self-supervised learning of speech representations with Dutch archival data
Interspeech 2025
Self-Supervised Learning with Probabilistic Density Labeling for Rainfall Probability Estimation
WACV 2025
Self-Supervised Learning with Spectral Low-Rank Prior for Hyperspectral Image Reconstruction
WACV 2025
Self-Supervised Models of Speech Processing for Haitian Creole
Interspeech 2025
Self-Supervised Monocular 4D Scene Reconstruction for Egocentric Videos
ICCV 2025
Self-Supervised Pre-Training with Diffusion Model for Few-Shot Landmark Detection in X-Ray Images
WACV 2025
Self-supervised Trusted Contrastive Multi-view Clustering with Uncertainty Refined
AAAI 2025
Self-Tuning: Instructing LLMs to Effectively Acquire New Knowledge through Self-Teaching
ACL 2025