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)
Unsupervised Out-of-Domain Detection via Pre-trained Transformers
ACL 2021
Unsupervised Paraphrasing with Pretrained Language Models
EMNLP 2021
Unsupervised Part Segmentation Through Disentangling Appearance and Shape
CVPR 2021
Unsupervised Pre-Training for Person Re-Identification
CVPR 2021
Unsupervised Pronoun Resolution via Masked Noun-Phrase Prediction
ACL 2021
Unsupervised Real-World Image Super Resolution via Domain-Distance Aware Training
CVPR 2021
Unsupervised Relation Extraction: A Variational Autoencoder Approach
EMNLP 2021
Unsupervised Representation Learning via Neural Activation Coding
ICML 2021
UnsupervisedR&R: Unsupervised Point Cloud Registration via Differentiable Rendering
CVPR 2021
Unsupervised Summarization for Chat Logs with Topic-Oriented Ranking and Context-Aware Auto-Encoders
AAAI 2021
Unsupervised Training of a DNN-Based Formant Tracker
Interspeech 2021
Unsupervised Translation of German–Lower Sorbian: Exploring Training and Novel Transfer Methods on a Low-Resource Language
EMNLP 2021
Unsupervised Visual Representation Learning by Tracking Patches in Video
CVPR 2021
UP-DETR: Unsupervised Pre-Training for Object Detection With Transformers
CVPR 2021
UPFlow: Upsampling Pyramid for Unsupervised Optical Flow Learning
CVPR 2021
Using Adversarial Attacks to Reveal the Statistical Bias in Machine Reading Comprehension Models
ACL 2021
Using Hindsight to Anchor Past Knowledge in Continual Learning
AAAI 2021
Using Optimal Transport as Alignment Objective for fine-tuning Multilingual Contextualized Embeddings
EMNLP 2021
Using Pause Information for More Accurate Entity Recognition
EMNLP 2021
Using Question Answering Rewards to Improve Abstractive Summarization
EMNLP 2021
Using Radio Archives for Low-Resource Speech Recognition: Towards an Intelligent Virtual Assistant for Illiterate Users
AAAI 2021
Using Random Effects to Account for High-Cardinality Categorical Features and Repeated Measures in Deep Neural Networks
NeurIPS 2021
Using Unsupervised Learning for Data-driven Procurement Demand Aggregation
AAAI 2021
Utilizing Relative Event Time to Enhance Event-Event Temporal Relation Extraction
EMNLP 2021
UXLA: A Robust Unsupervised Data Augmentation Framework for Zero-Resource Cross-Lingual NLP
ACL 2021