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)
Top-k eXtreme Contextual Bandits with Arm Hierarchy
ICML 2021
Top-k Ranking Bayesian Optimization
AAAI 2021
Topological Attention for Time Series Forecasting
NeurIPS 2021
Topological Uncertainty: Monitoring Trained Neural Networks through Persistence of Activation Graphs
IJCAI 2021
Topology Distance: A Topology-Based Approach for Evaluating Generative Adversarial Networks
AAAI 2021
Topology-Imbalance Learning for Semi-Supervised Node Classification
NeurIPS 2021
To Share or not to Share: Predicting Sets of Sources for Model Transfer Learning
EMNLP 2021
To Ship or Not to Ship: An Extensive Evaluation of Automatic Metrics for Machine Translation
EMNLP 2021
Total Recall: a Customized Continual Learning Method for Neural Semantic Parsers
EMNLP 2021
Toward a General Theory of Online Selective Sampling: Trading Off Mistakes and Queries
AISTATS 2021
Toward Diverse Precondition Generation
ACL 2021
Toward Joint Thing-and-Stuff Mining for Weakly Supervised Panoptic Segmentation
CVPR 2021
Toward Realistic Single-View 3D Object Reconstruction With Unsupervised Learning From Multiple Images
ICCV 2021
Towards a Decomposable Metric for Explainable Evaluation of Text Generation from AMR
EACL 2021
Towards a Dimension-Free Understanding of Adaptive Linear Control
COLT 2021
Towards a First Automatic Unsupervised Morphological Segmentation for Inuinnaqtun
NAACL 2021
Towards Alleviating the Modeling Ambiguity of Unsupervised Monocular 3D Human Pose Estimation
ICCV 2021
Towards a Model-Theoretic View of Narratives
NAACL 2021
Towards a more Robust Evaluation for Conversational Question Answering
ACL 2021
Towards a Theoretical Framework of Out-of-Distribution Generalization
NeurIPS 2021
Towards a Unified Game-Theoretic View of Adversarial Perturbations and Robustness
NeurIPS 2021
Towards a Unifying Framework for Formal Theories of Novelty
AAAI 2021
Towards Balanced Defect Prediction with Better Information Propagation
AAAI 2021
Towards Benchmarking the Utility of Explanations for Model Debugging
NAACL 2021
Towards Better Robust Generalization with Shift Consistency Regularization
ICML 2021