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)
AnoLeaf: Unsupervised Leaf Disease Segmentation via Structurally Robust Generative Inpainting
WACV 2023
Anomalous Sound Detection Based on Sound Separation
Interspeech 2023
Anomalous Sound Detection Using Self-Attention-Based Frequency Pattern Analysis of Machine Sounds
Interspeech 2023
Anomaly Clustering: Grouping Images Into Coherent Clusters of Anomaly Types
WACV 2023
Anomaly Detection in 3D Point Clouds Using Deep Geometric Descriptors
WACV 2023
Anomaly Detection in Human Brain via Inductive Learning on Temporal Multiplex Networks
MLHC 2023
Anomaly Detection Under Distribution Shift
ICCV 2023
Anomaly Segmentation for High-Resolution Remote Sensing Images Based on Pixel Descriptors
AAAI 2023
Anonymization for Skeleton Action Recognition
AAAI 2023
An Optimization-based Algorithm for Non-stationary Kernel Bandits without Prior Knowledge
AISTATS 2023
Another Dead End for Morphological Tags? Perturbed Inputs and Parsing
ACL 2023
A Novel Approach for Effective Multi-View Clustering with Information-Theoretic Perspective
NeurIPS 2023
A Novel Contrastive Learning Method for Clickbait Detection on RoCliCo: A Romanian Clickbait Corpus of News Articles
EMNLP 2023
A Novel Framework for Policy Mirror Descent with General Parameterization and Linear Convergence
NeurIPS 2023
A Novel Self-training Approach for Low-resource Speech Recognition
Interspeech 2023
A Novel Table-to-Graph Generation Approach for Document-Level Joint Entity and Relation Extraction
ACL 2023
Answering Ambiguous Questions via Iterative Prompting
ACL 2023
Answer Mining from a Pool of Images: Towards Retrieval-Based Visual Question Answering
IJCAI 2023
Antarlekhaka: A Comprehensive Tool for Multi-task Natural Language Annotation
EMNLP 2023
Anti-DreamBooth: Protecting Users from Personalized Text-to-image Synthesis
ICCV 2023
An Unbiased Look at Datasets for Visuo-Motor Pre-Training
CoRL 2023
An Unified Framework for Language Guided Image Completion
WACV 2023
Anytime Model Selection in Linear Bandits
NeurIPS 2023
A Parallel Corpus for Vietnamese Central-Northern Dialect Text Transfer
EMNLP 2023
A Partially Observable Monte Carlo Planning Algorithm Based on Path Modification
ACML 2023