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
'5
'10
'15
'20
'25
Papers (including subtopics)
Seminar Learning for Click-Level Weakly Supervised Semantic Segmentation
ICCV 2021
Semi-Supervised 3D Hand-Object Poses Estimation With Interactions in Time
CVPR 2021
Semi-Supervised Action Recognition With Temporal Contrastive Learning
CVPR 2021
Semi-Supervised Active Learning for Semi-Supervised Models: Exploit Adversarial Examples With Graph-Based Virtual Labels
ICCV 2021
Semi-Supervised Active Learning With Temporal Output Discrepancy
ICCV 2021
Semi-Supervised Aggregation of Dependent Weak Supervision Sources With Performance Guarantees
AISTATS 2021
Semi-Supervised Domain Adaptation Based on Dual-Level Domain Mixing for Semantic Segmentation
CVPR 2021
Semi-Supervised Exaggeration Detection of Health Science Press Releases
EMNLP 2021
Semi-supervised Intent Discovery with Contrastive Learning
EMNLP 2021
Semi-supervised Interactive Intent Labeling
NAACL 2021
Semi-Supervised Joint Estimation of Word and Document Readability
NAACL 2021
Semi-supervised Keypoint Localization
ICLR 2021
Semi-Supervised Knowledge Amalgamation for Sequence Classification
AAAI 2021
Semi-Supervised Language Models for Identification of Personal Health Experiential from Twitter Data: A Case for Medication Effects
NAACL 2021
Semi-Supervised Learning for Multi-Task Scene Understanding by Neural Graph Consensus
AAAI 2021
Semi-Supervised Learning of Visual Features by Non-Parametrically Predicting View Assignments With Support Samples
ICCV 2021
Semi-Supervised Learning via Triplet Network Based Active Learning (Student Abstract)
AAAI 2021
Semi-Supervised Learning with Meta-Gradient
AISTATS 2021
Semi-Supervised Learning with Variational Bayesian Inference and Maximum Uncertainty Regularization
AAAI 2021
Semi-supervised Medical Image Segmentation through Dual-task Consistency
AAAI 2021
Semi-supervised Meta-learning for Cross-domain Few-shot Intent Classification
ACL 2021
Semi-Supervised Metric Learning: A Deep Resurrection
AAAI 2021
Semi-Supervised Node Classification on Graphs: Markov Random Fields vs. Graph Neural Networks
AAAI 2021
Semi-Supervised Policy Initialization for Playing Games with Language Hints
NAACL 2021
Semi-supervised Relation Extraction via Incremental Meta Self-Training
EMNLP 2021