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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'15
'20
'25
Papers (including subtopics)
Towards Natural Language-Based Document Image Retrieval: New Dataset and Benchmark
CVPR 2025
Towards Objective Fine-tuning: How LLMs’ Prior Knowledge Causes Potential Poor Calibration?
ACL 2025
Towards Omni-RAG: Comprehensive Retrieval-Augmented Generation for Large Language Models in Medical Applications
ACL 2025
Towards On-the-Fly Novel Category Discovery in Dynamic Long-Tailed Distributions
WACV 2025
Towards Open-Ended Discovery for Low-Resource NLP
EMNLP 2025
Towards Open Foundation Language Model and Corpus for Macedonian: A Low-Resource Language
ACL 2025
Towards Open-Vocabulary Audio-Visual Event Localization
CVPR 2025
Towards Optimal Branching of Linear and Semidefinite Relaxations for Neural Network Robustness Certification
JMLR 2025
Towards Optimal Evaluation Efficiency for Large Language Models
EMNLP 2025
Towards Out-of-Modal Generalization without Instance-level Modal Correspondence
ICLR 2025
Towards Performance Consistency in Multi-Level Model Collaboration
ICCV 2025
Towards Personalized Conversational Sales Agents: Contextual User Profiling for Strategic Action
EMNLP 2025
Towards Precise Prediction Uncertainty in GNNs: Refining GNNs with Topology-grouping Strategy
AAAI 2025
Towards Provably Efficient Learning of Imperfect Information Extensive-Form Games with Linear Function Approximation
UAI 2025
Towards Realistic Data Generation for Real-World Super-Resolution
ICLR 2025
Towards Realistic Semi-supervised Medical Image Classification
AAAI 2025
Towards Real Unsupervised Anomaly Detection Via Confident Meta-Learning
ICCV 2025
Towards Real-World Rumor Detection: Anomaly Detection Framework with Graph Supervised Contrastive Learning
COLING 2025
Towards Region-aware Bias Evaluation Metrics
NAACL 2025
Towards Regularized Mixture of Predictions for Class-Imbalanced Semi-Supervised Facial Expression Recognition
IJCAI 2025
Towards Regulatory-Confirmed Adaptive Clinical Trials: Machine Learning Opportunities and Solutions
AISTATS 2025
Towards Reliable and Practical Phishing Detection
NAACL 2025
Towards Reliable Large Audio Language Model
ACL 2025
Towards Reward Fairness in RLHF: From a Resource Allocation Perspective
ACL 2025
Towards Robust Alignment of Language Models: Distributionally Robustifying Direct Preference Optimization
ICLR 2025