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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'10
'15
'20
'25
Papers (including subtopics)
Learn from View Correlation: An Anchor Enhancement Strategy for Multi-view Clustering
CVPR 2024
Learn How to See: Collaborative Embodied Learning for Object Detection and Camera Adjusting
AAAI 2024
Learning Accurate and Bidirectional Transformation via Dynamic Embedding Transportation for Cross-Domain Recommendation
AAAI 2024
Learning an Actionable Discrete Diffusion Policy via Large-Scale Actionless Video Pre-Training
NeurIPS 2024
Learning and Transferring Sparse Contextual Bigrams with Linear Transformers
NeurIPS 2024
Learning a Single Neuron Robustly to Distributional Shifts and Adversarial Label Noise
NeurIPS 2024
Learning-Augmented Algorithms with Explicit Predictors
NeurIPS 2024
Learning-Augmented Dynamic Submodular Maximization
NeurIPS 2024
Learning-Based Algorithms for Graph Searching Problems
AISTATS 2024
Learning Bayesian Network Classifiers to Minimize the Class Variable Parameters
AAAI 2024
Learning by Erasing: Conditional Entropy Based Transferable Out-of-Distribution Detection
AAAI 2024
Learning Causal Abstractions of Linear Structural Causal Models
UAI 2024
Learning Causal Markov Boundaries with Mixed Observational and Experimental Data
PGM 2024
Learning Class and Domain Augmentations for Single-Source Open-Domain Generalization
WACV 2024
Learning Cluster-Wise Anchors for Multi-View Clustering
AAAI 2024
Learning Coalition Structures with Games
AAAI 2024
Learning Commonality, Divergence and Variety for Unsupervised Visible-Infrared Person Re-identification
NeurIPS 2024
Learning Communication Policies for Different Follower Behaviors in a Collaborative Reference Game
ACL 2024
Learning Conditional Preference Networks: An Approach Based on the Minimum Description Length Principle
IJCAI 2024
Learning Continual Compatible Representation for Re-indexing Free Lifelong Person Re-identification
CVPR 2024
Learning De-Biased Representations for Remote-Sensing Imagery
NeurIPS 2024
Learning Decentralized Partially Observable Mean Field Control for Artificial Collective Behavior
ICLR 2024
Learning Degradation-Independent Representations for Camera ISP Pipelines
CVPR 2024
Learning Diffusions under Uncertainty
AAAI 2024
Learning Discrete Concepts in Latent Hierarchical Models
NeurIPS 2024