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)
Semi-Supervised Learning for Video Captioning
EMNLP 2020
Semi-Supervised Multi-Modal Learning with Balanced Spectral Decomposition
AAAI 2020
Semi-Supervised Neural Architecture Search
NeurIPS 2020
Semi-supervised Parsing with a Variational Autoencoding Parser
ACL 2020
Semi-Supervised Semantic Dependency Parsing Using CRF Autoencoders
ACL 2020
Semi-Supervised Semantic Image Segmentation With Self-Correcting Networks
CVPR 2020
Semi-Supervised Semantic Segmentation With Cross-Consistency Training
CVPR 2020
Semi-Supervised Streaming Learning with Emerging New Labels
AAAI 2020
SeNsER: Learning Cross-Building Sensor Metadata Tagger
EMNLP 2020
Sentence Meta-Embeddings for Unsupervised Semantic Textual Similarity
ACL 2020
SentiLARE: Sentiment-Aware Language Representation Learning with Linguistic Knowledge
EMNLP 2020
Sentiment and Emotion help Sarcasm? A Multi-task Learning Framework for Multi-Modal Sarcasm, Sentiment and Emotion Analysis
ACL 2020
Sentiment Classification in Customer Service Dialogue with Topic-Aware Multi-Task Learning
AAAI 2020
Separate in Latent Space: Unsupervised Single Image Layer Separation
AAAI 2020
Seq2Edits: Sequence Transduction Using Span-level Edit Operations
EMNLP 2020
Sequence Generation with Optimal-Transport-Enhanced Reinforcement Learning
AAAI 2020
Sequence-Level Mixed Sample Data Augmentation
EMNLP 2020
SeqVAT: Virtual Adversarial Training for Semi-Supervised Sequence Labeling
ACL 2020
SER-FIQ: Unsupervised Estimation of Face Image Quality Based on Stochastic Embedding Robustness
CVPR 2020
SESS: Self-Ensembling Semi-Supervised 3D Object Detection
CVPR 2020
Set and Rebase: Determining the Semantic Graph Connectivity for Unsupervised Cross-Modal Hashing
IJCAI 2020
Severing the Edge Between Before and After: Neural Architectures for Temporal Ordering of Events
EMNLP 2020
Severity-Aware Semantic Segmentation With Reinforced Wasserstein Training
CVPR 2020
SGAP-Net: Semantic-Guided Attentive Prototypes Network for Few-Shot Human-Object Interaction Recognition
AAAI 2020
SG-NN: Sparse Generative Neural Networks for Self-Supervised Scene Completion of RGB-D Scans
CVPR 2020