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)
Guided Dropout
AAAI 2019
Guided Meta-Policy Search
NeurIPS 2019
Guided Similarity Separation for Image Retrieval
NeurIPS 2019
Guiding the Flowing of Semantics: Interpretable Video Captioning via POS Tag
EMNLP 2019
Handling Syntactic Divergence in Low-resource Machine Translation
EMNLP 2019
Handwriting Recognition in Low-Resource Scripts Using Adversarial Learning
CVPR 2019
Hardness-Aware Deep Metric Learning
CVPR 2019
Harnessing Pre-Trained Neural Networks with Rules for Formality Style Transfer
EMNLP 2019
Harnessing Reinforcement Learning for Neural Motion Planning
RSS 2019
Hashtag Recommendation for Photo Sharing Services
AAAI 2019
Head-Driven Phrase Structure Grammar Parsing on Penn Treebank
ACL 2019
HEAD-QA: A Healthcare Dataset for Complex Reasoning
ACL 2019
Heavy Rain Image Restoration: Integrating Physics Model and Conditional Adversarial Learning
CVPR 2019
HellaSwag: Can a Machine Really Finish Your Sentence?
ACL 2019
Hello, It’s GPT-2 - How Can I Help You? Towards the Use of Pretrained Language Models for Task-Oriented Dialogue Systems
EMNLP 2019
Help, Anna! Visual Navigation with Natural Multimodal Assistance via Retrospective Curiosity-Encouraging Imitation Learning
EMNLP 2019
Heterogeneous Attributed Network Embedding with Graph Convolutional Networks
AAAI 2019
Heterogeneous Graph Learning for Visual Commonsense Reasoning
NeurIPS 2019
Heterogeneous Memory Enhanced Multimodal Attention Model for Video Question Answering
CVPR 2019
Heterogeneous Transfer Learning via Deep Matrix Completion with Adversarial Kernel Embedding
AAAI 2019
Hierarchical Deep Feature Learning for Decoding Imagined Speech from EEG
AAAI 2019
Hierarchical Deep Stereo Matching on High-Resolution Images
CVPR 2019
Hierarchical Disentanglement of Discriminative Latent Features for Zero-Shot Learning
CVPR 2019
Hierarchically-Refined Label Attention Network for Sequence Labeling
EMNLP 2019
Hierarchically Structured Reinforcement Learning for Topically Coherent Visual Story Generation
AAAI 2019