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)
Synergistic Image and Feature Adaptation: Towards Cross-Modality Domain Adaptation for Medical Image Segmentation
AAAI 2019
Syntax-aware Multilingual Semantic Role Labeling
EMNLP 2019
Syntax-Aware Neural Semantic Role Labeling
AAAI 2019
Syntax-Enhanced Self-Attention-Based Semantic Role Labeling
EMNLP 2019
Synthetic Propaganda Embeddings To Train A Linear Projection
EMNLP 2019
Synthetic QA Corpora Generation with Roundtrip Consistency
ACL 2019
System Description: The Submission of FOKUS to the WMT 19 Robustness Task
ACL 2019
TableSense: Spreadsheet Table Detection with Convolutional Neural Networks
AAAI 2019
TAFE-Net: Task-Aware Feature Embeddings for Low Shot Learning
CVPR 2019
Tagged Back-Translation
ACL 2019
Taking a Closer Look at Domain Shift: Category-Level Adversaries for Semantics Consistent Domain Adaptation
CVPR 2019
Talk2Car: Taking Control of Your Self-Driving Car
EMNLP 2019
Talking Face Generation by Adversarially Disentangled Audio-Visual Representation
AAAI 2019
TallyQA: Answering Complex Counting Questions
AAAI 2019
Taming the Noisy Gradient: Train Deep Neural Networks with Small Batch Sizes
IJCAI 2019
Tangent-Normal Adversarial Regularization for Semi-Supervised Learning
CVPR 2019
Target Conditioned Sampling: Optimizing Data Selection for Multilingual Neural Machine Translation
ACL 2019
Task-Driven Common Representation Learning via Bridge Neural Network
AAAI 2019
Task-Free Continual Learning
CVPR 2019
Taskmaster-1: Toward a Realistic and Diverse Dialog Dataset
EMNLP 2019
Task Refinement Learning for Improved Accuracy and Stability of Unsupervised Domain Adaptation
ACL 2019
T-Center: A Novel Discriminative Feature Extraction Approach for Iris Recognition
AAAI 2019
TDSNN: From Deep Neural Networks to Deep Spike Neural Networks with Temporal-Coding
AAAI 2019
Team DOMLIN: Exploiting Evidence Enhancement for the FEVER Shared Task
EMNLP 2019
Tell Me Where I Am: Object-Level Scene Context Prediction
CVPR 2019