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)
Multi-Armed Bandits with Bounded Arm-Memory: Near-Optimal Guarantees for Best-Arm Identification and Regret Minimization
NeurIPS 2021
Multi-Attentional Deepfake Detection
CVPR 2021
Multi-Attentive Detection of the Spider Monkey Whinny in the (Actual) Wild
Interspeech 2021
Multi-Channel Speaker Verification for Single and Multi-Talker Speech
Interspeech 2021
Multiclass Boosting and the Cost of Weak Learning
NeurIPS 2021
Multi-Dimensional Classification via Sparse Label Encoding
ICML 2021
Multi-Dimensional Explanation of Target Variables from Documents
AAAI 2021
Multidimensional Uncertainty-Aware Evidential Neural Networks
AAAI 2021
Multi-Domain Multilingual Question Answering
EMNLP 2021
Multi-Domain Multi-Task Rehearsal for Lifelong Learning
AAAI 2021
Multi-Emotion Classification for Song Lyrics
EACL 2021
MultiEURLEX - A multi-lingual and multi-label legal document classification dataset for zero-shot cross-lingual transfer
EMNLP 2021
Multi-Expert Adversarial Attack Detection in Person Re-Identification Using Context Inconsistency
ICCV 2021
Multi-Facet Clustering Variational Autoencoders
NeurIPS 2021
MultiFix: Learning to Repair Multiple Errors by Optimal Alignment Learning
EMNLP 2021
Multi-Frame Recurrent Adversarial Network for Moving Object Segmentation
WACV 2021
Multi-granularity Textual Adversarial Attack with Behavior Cloning
EMNLP 2021
Multi-Hop Fact Checking of Political Claims
IJCAI 2021
Multi-Label Activity Recognition Using Activity-Specific Features and Activity Correlations
CVPR 2021
Multi-Label Few-Shot Learning for Aspect Category Detection
ACL 2021
Multi-label Few-shot Learning with Semantic Inference (Student Abstract)
AAAI 2021
Multi-Label Generalized Zero Shot Learning for the Classification of Disease in Chest Radiographs
MLHC 2021
Multi-Label Learning From Single Positive Labels
CVPR 2021
Multi-Label Learning with Pairwise Relevance Ordering
NeurIPS 2021
Multi-layered Network Exploration via Random Walks: From Offline Optimization to Online Learning
ICML 2021