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)
Hierarchical Knowledge Squeezed Adversarial Network Compression
AAAI 2020
Hierarchically Clustered Representation Learning
AAAI 2020
Hierarchically Robust Representation Learning
CVPR 2020
Hierarchical Modes Exploring in Generative Adversarial Networks
AAAI 2020
Hierarchical nucleation in deep neural networks
NeurIPS 2020
Hierarchical Online Instance Matching for Person Search
AAAI 2020
Hierarchical Pre-training for Sequence Labelling in Spoken Dialog
EMNLP 2020
Hierarchical Pyramid Diverse Attention Networks for Face Recognition
CVPR 2020
Hierarchical Reinforcement Learning for Open-Domain Dialog
AAAI 2020
Hierarchical Scene Coordinate Classification and Regression for Visual Localization
CVPR 2020
HiFi-GAN: Generative Adversarial Networks for Efficient and High Fidelity Speech Synthesis
NeurIPS 2020
High-Dimensional Convolutional Networks for Geometric Pattern Recognition
CVPR 2020
High-Frequency Component Helps Explain the Generalization of Convolutional Neural Networks
CVPR 2020
High-Frequency Refinement for Sharper Video Super-Resolution
WACV 2020
High-Order Residual Network for Light Field Super-Resolution
AAAI 2020
High-order Semantic Role Labeling
EMNLP 2020
High-Performance Long-Term Tracking With Meta-Updater
CVPR 2020
High Performance Natural Language Processing
EMNLP 2020
High-Resolution Daytime Translation Without Domain Labels
CVPR 2020
Hindi-Marathi Cross Lingual Model
EMNLP 2020
History-Adaption Knowledge Incorporation Mechanism for Multi-Turn Dialogue System
AAAI 2020
Hit-Detector: Hierarchical Trinity Architecture Search for Object Detection
CVPR 2020
HoMM: Higher-Order Moment Matching for Unsupervised Domain Adaptation
AAAI 2020
How Accents Confound: Probing for Accent Information in End-to-End Speech Recognition Systems
ACL 2020
How Can We Accelerate Progress Towards Human-like Linguistic Generalization?
ACL 2020