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)
Exploring Language Model Generalization in Low-Resource Extractive QA
COLING 2025
Exploring Large Language Models for Detecting Mental Disorders
EMNLP 2025
Exploring Large Language Models for Hate Speech Detection in Rioplatense Spanish
NAACL 2025
Exploring Limitations of LLM Capabilities with Multi-Problem Evaluation
NAACL 2025
Exploring LLM Priming Strategies for Few-Shot Stance Classification
ACL 2025
Exploring LLMs’ Ability to Spontaneously and Conditionally Modify Moral Expressions through Text Manipulation
ACL 2025
Exploring Multimodal Foundation AI and Expert-in-the-Loop for Sustainable Management of Wild Salmon Fisheries in Indigenous Rivers
IJCAI 2025
Exploring Multimodal Relation Extraction of Hierarchical Tabular Data with Multi-task Learning
ACL 2025
Exploring Paraphrasing Strategies for CEFR A1-Level Constraints in LLMs
EMNLP 2025
Exploring Persona Sentiment Sensitivity in Personalized Dialogue Generation
ACL 2025
Exploring Quality and Diversity in Synthetic Data Generation for Argument Mining
EMNLP 2025
Exploring Query Efficient Data Generation Towards Data-Free Model Stealing in Hard Label Setting
AAAI 2025
Exploring Rationale Learning for Continual Graph Learning
AAAI 2025
Exploring Response Uncertainty in MLLMs: An Empirical Evaluation under Misleading Scenarios
EMNLP 2025
Exploring Scalability of Self-Training for Open-Vocabulary Temporal Action Localization
WACV 2025
Exploring Scene Affinity for Semi-Supervised LiDAR Semantic Segmentation
CVPR 2025
Exploring Semantic Consistency and Style Diversity for Domain Generalized Semantic Segmentation
AAAI 2025
Exploring Semantic Feature Discrimination for Perceptual Image Super-Resolution and Opinion-Unaware No-Reference Image Quality Assessment
CVPR 2025
Exploring Semantic Filtering Heuristics For Efficient Claim Verification
ACL 2025
Exploring Semantic Masked Autoencoder for Self-supervised Point Cloud Understanding
IJCAI 2025
Exploring smaller batch sizes for a high-performing BabyLM model architecture
EMNLP 2025
Exploring Sparse MoE in GANs for Text-conditioned Image Synthesis
CVPR 2025
Exploring Supervised Approaches to the Detection of Anthropomorphic Language in the Reporting of NLP Venues
ACL 2025
Exploring Temporal Event Cues for Dense Video Captioning in Cyclic Co-Learning
AAAI 2025
Exploring Temporally-Aware Features for Point Tracking
CVPR 2025