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)
Deep Asymmetric Metric Learning via Rich Relationship Mining
CVPR 2019
Deep Bidirectional Transformers for Relation Extraction without Supervision
EMNLP 2019
Deep Blind Video Decaptioning by Temporal Aggregation and Recurrence
CVPR 2019
DeepCaps: Going Deeper With Capsule Networks
CVPR 2019
DeepCCFV: Camera Constraint-Free Multi-View Convolutional Neural Network for 3D Object Retrieval
AAAI 2019
DeepCF: A Unified Framework of Representation Learning and Matching Function Learning in Recommender System
AAAI 2019
DeepChannel: Salience Estimation by Contrastive Learning for Extractive Document Summarization
AAAI 2019
DeepCO3: Deep Instance Co-Segmentation by Co-Peak Search and Co-Saliency Detection
CVPR 2019
Deep Comprehensive Correlation Mining for Image Clustering
ICCV 2019
Deep Contextualized Biomedical Abbreviation Expansion
ACL 2019
Deep Contextualized Word Embeddings in Transition-Based and Graph-Based Dependency Parsing - A Tale of Two Parsers Revisited
EMNLP 2019
Deep Defocus Map Estimation Using Domain Adaptation
CVPR 2019
Deep Embedding Features for Salient Object Detection
AAAI 2019
Deep Embedding Learning With Discriminative Sampling Policy
CVPR 2019
Deep Equilibrium Models
NeurIPS 2019
Deep Exemplar-Based Video Colorization
CVPR 2019
Deep Flow-Guided Video Inpainting
CVPR 2019
DeepFuzz: Automatic Generation of Syntax Valid C Programs for Fuzz Testing
AAAI 2019
DeepGeneMD: A Joint Deep Learning Model for Extracting Gene Mutation-Disease Knowledge from PubMed Literature
EMNLP 2019
Deep Generalized Canonical Correlation Analysis
ACL 2019
Deep Geometric Prior for Surface Reconstruction
CVPR 2019
Deep imitation learning for molecular inverse problems
NeurIPS 2019
Deep Incremental Hashing Network for Efficient Image Retrieval
CVPR 2019
Deep Interest Evolution Network for Click-Through Rate Prediction
AAAI 2019
Deep Leakage from Gradients
NeurIPS 2019