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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Papers (including subtopics)
Multi-Objective Generalized Linear Bandits
IJCAI 2019
Multi-objective training of Generative Adversarial Networks with multiple discriminators
ICML 2019
Multi-Perspective Relevance Matching with Hierarchical ConvNets for Social Media Search
AAAI 2019
Multiple-Attribute Text Rewriting
ICLR 2019
Multiple Independent Subspace Clusterings
AAAI 2019
Multiple Instance Learning for ECG Risk Stratification
MLHC 2019
Multiple Noisy Label Distribution Propagation for Crowdsourcing
IJCAI 2019
Multiple Text Style Transfer by using Word-level Conditional Generative Adversarial Network with Two-Phase Training
EMNLP 2019
Multi-resolution Multi-task Gaussian Processes
NeurIPS 2019
Multi-Resolution Weak Supervision for Sequential Data
NeurIPS 2019
Multi-Source Cross-Lingual Model Transfer: Learning What to Share
ACL 2019
Multi-source Domain Adaptation for Semantic Segmentation
NeurIPS 2019
Multi-Source Weak Supervision for Saliency Detection
CVPR 2019
Multistream Classification with Relative Density Ratio Estimation
AAAI 2019
Multi-Task CTC Training with Auxiliary Feature Reconstruction for End-to-End Speech Recognition
Interspeech 2019
Multi-Task Deep Neural Networks for Natural Language Understanding
ACL 2019
Multi-Task Deep Reinforcement Learning with PopArt
AAAI 2019
Multi-task Learning for Aggregated Data using Gaussian Processes
NeurIPS 2019
Multi-Task Learning for Chemical Named Entity Recognition with Chemical Compound Paraphrasing
EMNLP 2019
Multi-Task Learning for Conversational Question Answering over a Large-Scale Knowledge Base
EMNLP 2019
Multi-Task Learning for Japanese Predicate Argument Structure Analysis
NAACL 2019
Multi-task Learning for Multi-modal Emotion Recognition and Sentiment Analysis
NAACL 2019
Multi-task Learning for Natural Language Generation in Task-Oriented Dialogue
EMNLP 2019
Multi-Task Learning with High-Order Statistics for x-Vector Based Text-Independent Speaker Verification
Interspeech 2019
Multi-Task Learning with Language Modeling for Question Generation
EMNLP 2019