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)
Multimodal Representation Learning by Alternating Unimodal Adaptation
CVPR 2024
Multi-modal Semantic Understanding with Contrastive Cross-modal Feature Alignment
COLING 2024
Multimodal Task Vectors Enable Many-Shot Multimodal In-Context Learning
NeurIPS 2024
Multi-modal Transfer Learning between Biological Foundation Models
NeurIPS 2024
Multi-Model System for Effective Subtitling Compression
ACL 2024
Multi-Objective Bayesian Optimization with Active Preference Learning
AAAI 2024
Multi-objective Counterfactuals in Bayesian Classifiers with Estimation of Distribution Algorithms
PGM 2024
Multiobjective Lipschitz Bandits under Lexicographic Ordering
AAAI 2024
MultiOrg: A Multi-rater Organoid-detection Dataset
NeurIPS 2024
Multi-Patch Prediction: Adapting Language Models for Time Series Representation Learning
ICML 2024
Multiple Hypothesis Dropout: Estimating the Parameters of Multi-Modal Output Distributions
AAAI 2024
Multiple Sources are Better Than One: Incorporating External Knowledge in Low-Resource Glossing
EMNLP 2024
Multiplex Graph Representation Learning via Bi-level Optimization
IJCAI 2024
Multi-Resolution Active Learning of Fourier Neural Operators
AISTATS 2024
Multi-resolution HuBERT: Multi-resolution Speech Self-Supervised Learning with Masked Unit Prediction
ICLR 2024
Multi-resolution Time-Series Transformer for Long-term Forecasting
AISTATS 2024
Multiscale Attention Wavelet Neural Operator for Capturing Steep Trajectories in Biochemical Systems
AAAI 2024
Multiscale Positive-Unlabeled Detection of AI-Generated Texts
ICLR 2024
Multi-Scale Prompt Memory-Augmented Model for Black-Box Scenarios
NAACL 2024
Multi-Scale Video Anomaly Detection by Multi-Grained Spatio-Temporal Representation Learning
CVPR 2024
Multi-Scene Generalized Trajectory Global Graph Solver with Composite Nodes for Multiple Object Tracking
AAAI 2024
Multi-Source Domain Adaptation for Object Detection With Prototype-Based Mean Teacher
WACV 2024
Multi-Stage Balanced Distillation: Addressing Long-Tail Challenges in Sequence-Level Knowledge Distillation
EMNLP 2024
Multistage Collaborative Knowledge Distillation from a Large Language Model for Semi-Supervised Sequence Generation
ACL 2024
Multi-Stage Multi-Modal Pre-Training for Automatic Speech Recognition
COLING 2024