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)
Relational Action Forecasting
CVPR 2019
Relational Knowledge Distillation
CVPR 2019
Relation Embedding with Dihedral Group in Knowledge Graph
ACL 2019
RelGAN: Relational Generative Adversarial Networks for Text Generation
ICLR 2019
Reliability-aware Dynamic Feature Composition for Name Tagging
ACL 2019
Reliable and Efficient Image Cropping: A Grid Anchor Based Approach
CVPR 2019
REPAIR: Removing Representation Bias by Dataset Resampling
CVPR 2019
RepeatNet: A Repeat Aware Neural Recommendation Machine for Session-Based Recommendation
AAAI 2019
RepMet: Representative-Based Metric Learning for Classification and Few-Shot Object Detection
CVPR 2019
Representation Flow for Action Recognition
CVPR 2019
Representation Similarity Analysis for Efficient Task Taxonomy & Transfer Learning
CVPR 2019
Resampled Priors for Variational Autoencoders
AISTATS 2019
Residual Compensation Networks for Heterogeneous Face Recognition
AAAI 2019
Residual Invertible Spatio-Temporal Network for Video Super-Resolution
AAAI 2019
Residual Regression With Semantic Prior for Crowd Counting
CVPR 2019
Resisting Adversarial Attacks Using Gaussian Mixture Variational Autoencoders
AAAI 2019
ResNets Ensemble via the Feynman-Kac Formalism to Improve Natural and Robust Accuracies
NeurIPS 2019
Resolving Gendered Ambiguous Pronouns with BERT
ACL 2019
Response Generation by Context-Aware Prototype Editing
AAAI 2019
Restoration of Non-Rigidly Distorted Underwater Images Using a Combination of Compressive Sensing and Local Polynomial Image Representations
ICCV 2019
Restoring ancient text using deep learning: a case study on Greek epigraphy
EMNLP 2019
Rethinking Cooperative Rationalization: Introspective Extraction and Complement Control
EMNLP 2019
Rethinking Knowledge Graph Propagation for Zero-Shot Learning
CVPR 2019
Retrieval-Augmented Convolutional Neural Networks Against Adversarial Examples
CVPR 2019
Retrieval-Enhanced Adversarial Training for Neural Response Generation
ACL 2019