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)
Margin Learning Embedded Prediction for Video Anomaly Detection with A Few Anomalies
IJCAI 2019
Masked Graph Convolutional Network
IJCAI 2019
Masking by Moving: Learning Distraction-Free Radar Odometry from Pose Information
CoRL 2019
MaskParse@Deskin at SemEval-2019 Task 1: Cross-lingual UCCA Semantic Parsing using Recursive Masked Sequence Tagging
SemEval 2019
Mask-ShadowGAN: Learning to Remove Shadows From Unpaired Data
ICCV 2019
Massively Multilingual Adversarial Speech Recognition
NAACL 2019
Massively Multilingual Transfer for NER
ACL 2019
Matching the Blanks: Distributional Similarity for Relation Learning
ACL 2019
Matrix Completion for Graph-Based Deep Semi-Supervised Learning
AAAI 2019
MAVEN: Multi-Agent Variational Exploration
NeurIPS 2019
Mawdoo3 AI at MADAR Shared Task: Arabic Fine-Grained Dialect Identification with Ensemble Learning
ACL 2019
MaxGap Bandit: Adaptive Algorithms for Approximate Ranking
NeurIPS 2019
Maximum Expected Hitting Cost of a Markov Decision Process and Informativeness of Rewards
NeurIPS 2019
Max-MIG: an Information Theoretic Approach for Joint Learning from Crowds
ICLR 2019
Max-Sliced Wasserstein Distance and Its Use for GANs
CVPR 2019
Max-value Entropy Search for Multi-Objective Bayesian Optimization
NeurIPS 2019
MCP: Learning Composable Hierarchical Control with Multiplicative Compositional Policies
NeurIPS 2019
MEAL: Multi-Model Ensemble via Adversarial Learning
AAAI 2019
Meaning to Form: Measuring Systematicity as Information
ACL 2019
MeanSum: A Neural Model for Unsupervised Multi-Document Abstractive Summarization
ICML 2019
Measuring Semantic Abstraction of Multilingual NMT with Paraphrase Recognition and Generation Tasks
NAACL 2019
Measuring the perceptual availability of phonological features during language acquisition using unsupervised binary stochastic autoencoders
NAACL 2019
Measuring the Value of Linguistics: A Case Study from St. Lawrence Island Yupik
ACL 2019
MedCATTrainer: A Biomedical Free Text Annotation Interface with Active Learning and Research Use Case Specific Customisation
EMNLP 2019
Medical Entity Linking using Triplet Network
NAACL 2019