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 Domain Adaptation for Person Re-identification via Heterogeneous Graph Alignment
AAAI 2021
Unsupervised Domain Adaptation for Semantic Segmentation by Content Transfer
AAAI 2021
Unsupervised Extractive Summarization-Based Representations for Accurate and Explainable Collaborative Filtering
ACL 2021
Unsupervised Feature Learning by Cross-Level Instance-Group Discrimination
CVPR 2021
Unsupervised Foreground Extraction via Deep Region Competition
NeurIPS 2021
Unsupervised Human Pose Estimation Through Transforming Shape Templates
CVPR 2021
Unsupervised Hyperbolic Metric Learning
CVPR 2021
Unsupervised Hyperbolic Representation Learning via Message Passing Auto-Encoders
CVPR 2021
Unsupervised Image Generation With Infinite Generative Adversarial Networks
ICCV 2021
Unsupervised Keyphrase Extraction by Jointly Modeling Local and Global Context
EMNLP 2021
Unsupervised Learning for Robust Fitting: A Reinforcement Learning Approach
CVPR 2021
Unsupervised Learning of 3D Object Categories From Videos in the Wild
CVPR 2021
Unsupervised Learning of Depth and Depth-of-Field Effect From Natural Images With Aperture Rendering Generative Adversarial Networks
CVPR 2021
Unsupervised Learning of Discourse Structures using a Tree Autoencoder
AAAI 2021
Unsupervised Multi-Source Domain Adaptation for Person Re-Identification
CVPR 2021
Unsupervised Multi-Source Domain Adaptation Without Access to Source Data
CVPR 2021
Unsupervised Multi-Target Domain Adaptation for Acoustic Scene Classification
Interspeech 2021
Unsupervised Multi-Target Domain Adaptation Through Knowledge Distillation
WACV 2021
Unsupervised Neural-Based Graph Clustering for Variable-Length Speech Representation Discovery of Zero-Resource Languages
Interspeech 2021
Unsupervised Neural Machine Translation for Low-Resource Domains via Meta-Learning
ACL 2021
Unsupervised Neural Machine Translation with Universal Grammar
EMNLP 2021
Unsupervised Noise Adaptive Speech Enhancement by Discriminator-Constrained Optimal Transport
NeurIPS 2021
Unsupervised Object-Based Transition Models For 3D Partially Observable Environments
NeurIPS 2021
Unsupervised Object Detection With LIDAR Clues
CVPR 2021
Unsupervised Opinion Summarization with Content Planning
AAAI 2021