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)
Transfer Joint Matching for Unsupervised Domain Adaptation
CVPR 2014
Transformation Pursuit for Image Classification
CVPR 2014
Triangulation Embedding and Democratic Aggregation for Image Search
CVPR 2014
Two-Stream Convolutional Networks for Action Recognition in Videos
NeurIPS 2014
Unsupervised learning of an efficient short-term memory network
NeurIPS 2014
Unsupervised Learning of Dictionaries of Hierarchical Compositional Models
CVPR 2014
Unsupervised Transcription of Piano Music
NeurIPS 2014
Using Convolutional Neural Networks to Recognize Rhythm Stimuli from Electroencephalography Recordings
NeurIPS 2014
Variational Gaussian Process State-Space Models
NeurIPS 2014
Visual Semantic Search: Retrieving Videos via Complex Textual Queries
CVPR 2014
Weakly-supervised Discovery of Visual Pattern Configurations
NeurIPS 2014
Weakly Supervised Multiclass Video Segmentation
CVPR 2014
When 3D Reconstruction Meets Ubiquitous RGB-D Images
CVPR 2014
Zero-shot recognition with unreliable attributes
NeurIPS 2014
A Bayesian Approach to Multimodal Visual Dictionary Learning
CVPR 2013
Action is in the Eye of the Beholder: Eye-gaze Driven Model for Spatio-Temporal Action Localization
NeurIPS 2013
Adaptive dropout for training deep neural networks
NeurIPS 2013
Adaptive Multi-Column Deep Neural Networks with Application to Robust Image Denoising
NeurIPS 2013
Adding Unlabeled Samples to Categories by Learned Attributes
CVPR 2013
A Divide-and-Conquer Method for Scalable Low-Rank Latent Matrix Pursuit
CVPR 2013
Alternating Decision Forests
CVPR 2013
A Novel Two-Step Method for Cross Language Representation Learning
NeurIPS 2013
Approximate Dynamic Programming Finally Performs Well in the Game of Tetris
NeurIPS 2013
A Sentence Is Worth a Thousand Pixels
CVPR 2013
Attribute-Based Detection of Unfamiliar Classes with Humans in the Loop
CVPR 2013