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)
A Deployed Online Reinforcement Learning Algorithm in an Oral Health Clinical Trial
AAAI 2025
ADEPT: Hierarchical Bayes Approach to Personalized Federated Unsupervised Learning
AISTATS 2025
ADEPT-SQL: A High-performance Text-to-SQL Application for Real-World Enterprise-Level Databases
ACL 2025
Ad-hoc Concept Forming in the Game Codenames as a Means for Evaluating Large Language Models
ACL 2025
A Differential Inclusion Approach for Learning Heterogeneous Sparsity in Neuroimaging Analysis
AISTATS 2025
A Disaggregated Dataset on English Offensiveness Containing Spans
EMNLP 2025
AdMiT: Adaptive Multi-Source Tuning in Dynamic Environments
CVPR 2025
ADO: Automatic Data Optimization for Inputs in LLM Prompts
ACL 2025
AdParaphrase v2.0: Generating Attractive Ad Texts Using a Preference-Annotated Paraphrase Dataset
ACL 2025
ADU: Adaptive Detection of Unknown Categories in Black-Box Domain Adaptation
CVPR 2025
A Dual Contrastive Learning Framework for Enhanced Hate Speech Detection in Low-Resource Languages
COLING 2025
A Dual Contrastive Learning Framework for Enhanced Multimodal Conversational Emotion Recognition
COLING 2025
A Dual-Perspective NLG Meta-Evaluation Framework with Automatic Benchmark and Better Interpretability
ACL 2025
Advacheck at GenAI Detection Task 1: AI Detection Powered by Domain-Aware Multi-Tasking
COLING 2025
Advances in Auto-Grading with Large Language Models: A Cross-Disciplinary Survey
ACL 2025
Advancing African-Accented English Speech Recognition: Epistemic Uncertainty-Driven Data Selection for Generalizable ASR Models
ACL 2025
Advancing Audio-Based Text Generation with Imbalance Preference Optimization
AAAI 2025
Advancing Comprehensive Aesthetic Insight with Multi-Scale Text-Guided Self-Supervised Learning
AAAI 2025
Advancing E-commerce Merchants Telemarketing with Synthetic Data-Driven LLMs
EMNLP 2025
Advancing Fairness in Precision Medicine: A Universal Framework for Optimal Treatment Estimation in Censored Data
AISTATS 2025
Advancing Fine-Grained Visual Understanding with Multi-Scale Alignment in Multi-Modal Models
EMNLP 2025
Advancing Generalizable Tumor Segmentation with Anomaly-Aware Open-Vocabulary Attention Maps and Frozen Foundation Diffusion Models
CVPR 2025
Advancing Language Models through Instruction Tuning: Recent Progress and Challenges
EMNLP 2025
Advancing LLM Reasoning Generalists with Preference Trees
ICLR 2025
Advancing Multilingual Speaker Identification and Verification for Indo-Aryan and Dravidian Languages
COLING 2025