Learning Types
56,253 papers (3 classified directly here)
Subtopics · a paper can sit in several, so these overlap
Self-Supervised Learning (8,965)
Adversarial Learning (5,204)
Unsupervised Learning (4,874)
Transfer Learning (4,808)
Weakly Supervised Learning (3,938)
Contrastive Learning (3,748)
Zero-Shot Learning (3,130)
Semi-Supervised Learning (3,128)
Reinforcement Learning (3,118)
Multi-Task Learning (2,556)
Evaluation (2,164)
Continual Learning (2,107)
Active Learning (1,983)
Few-Shot Learning (1,840)
Deep Learning (1,404)
Online Learning (1,360)
Multi-Armed Bandits (1,327)
Multimodal Learning (1,289)
Supervised Learning (986)
Multi-Agent Systems (813)
Uncertainty Quantification (805)
Causal Inference (636)
Robustness (576)
Retrieval-Augmented Generation (565)
Fine-Tuning (490)
Ensemble Learning (482)
In-Context Learning (439)
Multi-Label Classification (430)
Imitation Learning (387)
Prompt Engineering (270)
Multi-Lingual Learning (269)
Distribution Shift (264)
Reinforcement Learning from Human Feedback (209)
Regularization (207)
Exploration-Exploitation (203)
Generative Models (200)
Multi-Objective Optimization (185)
Out-of-Distribution Detection (176)
Sparse Learning (165)
Sampling (150)
Preference Learning (136)
Offline Reinforcement Learning (130)
Multi-Label Learning (128)
Markov Decision Process (127)
Neural Architecture Search (122)
Multi-Instance Learning (121)
Multi-View Learning (117)
Robust Learning (110)
Generative Model (110)
Time Series (108)
Large Language Models (104)
Exploration (103)
Hyperparameter Optimization (99)
Machine Unlearning (95)
Imbalanced Learning (93)
Machine Translation (93)
Multi-Class Classification (85)
Differential Privacy (82)
Time Series Analysis (71)
Reasoning (70)
Calibration (67)
Structure Learning (66)
Physics-Informed Learning (62)
Class Imbalance (58)
Model-Based RL (55)
Interactive Learning (55)
Multi-Domain Learning (47)
Inverse Reinforcement Learning (46)
Crowdsourcing (40)
Off-Policy Learning (38)
Label Noise (38)
Noisy Label Learning (35)
Offline RL (32)
Attention (32)
Evolutionary Algorithm (32)
Decision Making (31)
Policy Learning (30)
Personalization (28)
Low-Resource Learning (26)
Collaborative Filtering (25)
Self-Training (24)
Sequential Modeling (24)
Parameter Estimation (23)
Survival Analysis (21)
Machine Learning (20)
Parameter-Efficient Fine-Tuning (20)
Synthetic Data Generation (20)
Annotation (18)
Symbolic Regression (18)
AutoML (16)
Security (15)
Multi-Source Learning (13)
Distant Supervision (13)
Text Generation (11)
Distributional Reinforcement Learning (9)
Sentiment Analysis (9)
Multi-Hop Reasoning (9)
Language Modeling (9)
Code Generation (8)
Multi-Object Tracking (8)
Natural Language Inference (7)
Chain-of-Thought (6)
Question Answering (5)
Papers per year
1
8
12
26
18
20
135
136
147
149
220
231
316
526
460
477
660
1,314
2,083
3,689
4,652
5,914
6,826
8,201
8,755
9,258
2,019
2000
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'10
'15
'20
'25
Papers (including subtopics)
Unsupervised domain adaptation for speech recognition with unsupervised error correction
Interspeech 2022
Unsupervised Domain Adaptation for Text Classification via Meta Self-Paced Learning
COLING 2022
Unsupervised Domain Adaptation through Shape Modeling for Medical Image Segmentation
MIDL 2022
Unsupervised Domain Adaptive Salient Object Detection through Uncertainty-Aware Pseudo-Label Learning
AAAI 2022
Unsupervised Domain Generalization by Learning a Bridge Across Domains
CVPR 2022
Unsupervised Editing for Counterfactual Stories
AAAI 2022
Unsupervised Embedding and Association Network for Multi-Object Tracking
IJCAI 2022
Unsupervised Embedding-based Metric for MT Evaluation with Improved Human Correlation
EMNLP 2022
Unsupervised Entity Linking with Guided Summarization and Multiple-Choice Selection
EMNLP 2022
Unsupervised Extractive Opinion Summarization Using Sparse Coding
ACL 2022
Unsupervised Flow-Aligned Sequence-to-Sequence Learning for Video Restoration
ICML 2022
Unsupervised Geometric and Topological Approaches for Cross-Lingual Sentence Representation and Comparison
ACL 2022
Unsupervised Ground Metric Learning Using Wasserstein Singular Vectors
ICML 2022
Unsupervised Hierarchical Semantic Segmentation With Multiview Cosegmentation and Clustering Transformers
CVPR 2022
Unsupervised Homography Estimation With Coplanarity-Aware GAN
CVPR 2022
Unsupervised Identification of Materials with Hyperspectral Images
AAAI 2022
Unsupervised Image-to-Image Translation with Density Changing Regularization
NeurIPS 2022
Unsupervised Image-to-Image Translation With Generative Prior
CVPR 2022
Unsupervised Inference of Physiologically Meaningful Articulatory Trajectories with VocalTractLab
Interspeech 2022
Unsupervised Instance Discriminative Learning for Depression Detection from Speech Signals
Interspeech 2022
Unsupervised Knowledge Graph Generation Using Semantic Similarity Matching
NAACL 2022
Unsupervised Learning for Combinatorial Optimization with Principled Objective Relaxation
NeurIPS 2022
Unsupervised Learning for Human Sensing Using Radio Signals
WACV 2022
Unsupervised Learning From Incomplete Measurements for Inverse Problems
NeurIPS 2022
Unsupervised Learning of Accurate Siamese Tracking
CVPR 2022