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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'20
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Papers (including subtopics)
Online Conversion Rate Prediction via Multi-Interval Screening and Synthesizing under Delayed Feedback
AAAI 2024
Online Convex Optimisation: The Optimal Switching Regret for all Segmentations Simultaneously
NeurIPS 2024
Online Estimation via Offline Estimation: An Information-Theoretic Framework
NeurIPS 2024
Online Feature Updates Improve Online (Generalized) Label Shift Adaptation
NeurIPS 2024
Online Information Acquisition: Hiring Multiple Agents
ICLR 2024
Online Iterative Reinforcement Learning from Human Feedback with General Preference Model
NeurIPS 2024
Online learning in bandits with predicted context
AISTATS 2024
Online Learning in Contextual Second-Price Pay-Per-Click Auctions
AISTATS 2024
Online Learning of Capacity-Based Preference Models
IJCAI 2024
Online Learning of Decision Trees with Thompson Sampling
AISTATS 2024
Online Learning of Delayed Choices
NeurIPS 2024
Online Learning with Set-valued Feedback
COLT 2024
Online Learning with Sublinear Best-Action Queries
NeurIPS 2024
Online Markov Decision Processes Configuration with Continuous Decision Space
AAAI 2024
Online Newton Method for Bandit Convex Optimisation Extended Abstract
COLT 2024
Online Non-convex Learning in Dynamic Environments
NeurIPS 2024
Online Policy Optimization for Robust Markov Decision Process
UAI 2024
Online Policy Optimization in Unknown Nonlinear Systems
COLT 2024
Online Reinforcement Learning-Based Pedagogical Planning for Narrative-Centered Learning Environments
AAAI 2024
Online Relational Inference for Evolving Multi-agent Interacting Systems
NeurIPS 2024
Online Restless Multi-Armed Bandits with Long-Term Fairness Constraints
AAAI 2024
Online Stackelberg Optimization via Nonlinear Control
COLT 2024
Online Structured Prediction with Fenchel–Young Losses and Improved Surrogate Regret for Online Multiclass Classification with Logistic Loss
COLT 2024
Online Task-Free Continual Generative and Discriminative Learning via Dynamic Cluster Memory
CVPR 2024
Only Pay for What Is Uncertain: Variance-Adaptive Thompson Sampling
ICLR 2024