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)
Straight to the Tree: Constituency Parsing with Neural Syntactic Distance
ACL 2018
Structure-Aware Convolutional Neural Networks
NeurIPS 2018
Structured Alignment Networks for Matching Sentences
EMNLP 2018
Structured Attention Guided Convolutional Neural Fields for Monocular Depth Estimation
CVPR 2018
Structured Control Nets for Deep Reinforcement Learning
ICML 2018
Structured Uncertainty Prediction Networks
CVPR 2018
StructVAE: Tree-structured Latent Variable Models for Semi-supervised Semantic Parsing
ACL 2018
Sub-word information in pre-trained biomedical word representations: evaluation and hyper-parameter optimization
ACL 2018
Subword-level Word Vector Representations for Korean
ACL 2018
Summarizing Opinions: Aspect Extraction Meets Sentiment Prediction and They Are Both Weakly Supervised
EMNLP 2018
Super-FAN: Integrated Facial Landmark Localization and Super-Resolution of Real-World Low Resolution Faces in Arbitrary Poses With GANs
CVPR 2018
Super SloMo: High Quality Estimation of Multiple Intermediate Frames for Video Interpolation
CVPR 2018
Supervised autoencoders: Improving generalization performance with unsupervised regularizers
NeurIPS 2018
Supervised Domain Enablement Attention for Personalized Domain Classification
EMNLP 2018
Supervised Treebank Conversion: Data and Approaches
ACL 2018
Supervision-by-Registration: An Unsupervised Approach to Improve the Precision of Facial Landmark Detectors
CVPR 2018
Surprisingly Easy Hard-Attention for Sequence to Sequence Learning
EMNLP 2018
SWAG: A Large-Scale Adversarial Dataset for Grounded Commonsense Inference
EMNLP 2018
SwitchOut: an Efficient Data Augmentation Algorithm for Neural Machine Translation
EMNLP 2018
Syntactic Dependency Representations in Neural Relation Classification
ACL 2018
Syntactic Scaffolds for Semantic Structures
EMNLP 2018
Syntax-based Transfer Learning for the Task of Biomedical Relation Extraction
EMNLP 2018
Syntax Encoding with Application in Authorship Attribution
EMNLP 2018
Syntax for Semantic Role Labeling, To Be, Or Not To Be
ACL 2018
Synthesizing Programs for Images using Reinforced Adversarial Learning
ICML 2018