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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'25
Papers (including subtopics)
Online Assortment and Price Optimization Under Contextual Choice Models
AISTATS 2025
Online Fraud Detection via Test-Time Retrieval-Based Representation Enrichment
AAAI 2025
Online Generalized Magician’s Problem with Multiple Workers
UAI 2025
Online Iterative Self-Alignment for Radiology Report Generation
ACL 2025
Online Learning Defense against Iterative Jailbreak Attacks via Prompt Optimization
IJCNLP 2025
Online Learning of Coalition Structures by Selfish Agents
AAAI 2025
Online Learning with Stochastically Partitioning Experts
UAI 2025
Online-LoRA: Task-Free Online Continual Learning via Low Rank Adaptation
WACV 2025
Online MDP with Prototypes Information: A Robust Adaptive Approach
AAAI 2025
Online Nonsubmodular Optimization with Delayed Feedback in the Bandit Setting
AAAI 2025
Online Preference Alignment for Language Models via Count-based Exploration
ICLR 2025
Online Reinforcement Learning in Non-Stationary Context-Driven Environments
ICLR 2025
Online Resource Sharing: Better Robust Guarantees via Randomized Strategies
IJCAI 2025
Online Student-t Processes with an Overall-local Scale Structure for Modelling Non-stationary Data
AISTATS 2025
Online Task-Free Continual Learning via Dynamic Expansionable Memory Distribution
CVPR 2025
On LLM-Based Scientific Inductive Reasoning Beyond Equations
EMNLP 2025
On Local Posterior Structure in Deep Ensembles
AISTATS 2025
Only a Little to the Left: A Theory-grounded Measure of Political Bias in Large Language Models
ACL 2025
On Many-Shot In-Context Learning for Long-Context Evaluation
ACL 2025
On Memorization of Large Language Models in Logical Reasoning
IJCNLP 2025
On-Policy Algorithms for Continual Reinforcement Learning (Student Abstract)
AAAI 2025
On-Policy Self-Alignment with Fine-grained Knowledge Feedback for Hallucination Mitigation
ACL 2025
On Preference-based Stochastic Linear Contextual Bandits with Knapsacks
AISTATS 2025
On Reference (In-)Determinacy in Natural Language Inference
NAACL 2025
On Rollouts in Model-Based Reinforcement Learning
ICLR 2025