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)
Hiding Images in Diffusion Models by Editing Learned Score Functions
CVPR 2025
Hierarchical Adaptive Filtering Network for Text Image Specular Highlight Removal
CVPR 2025
Hierarchical and Modular Network on Non-prehensile Manipulation in General Environments
RSS 2025
Hierarchical-aware Orthogonal Disentanglement Framework for Fine-grained Skeleton-based Action Recognition
ICCV 2025
Hierarchical Classification Auxiliary Network for Time Series Forecasting
AAAI 2025
Hierarchical Classification of Propaganda Techniques in Slavic Texts in Hyperbolic Space
ACL 2025
Hierarchical Compact Clustering Attention (COCA) for Unsupervised Object-Centric Learning
CVPR 2025
Hierarchical Consensus Network for Multiview Feature Learning
AAAI 2025
Hierarchical Cross-Modal Alignment for Open-Vocabulary 3D Object Detection
AAAI 2025
Hierarchical Cross-modal Prompt Learning for Vision-Language Models
ICCV 2025
Hierarchical Divide-and-Conquer for Fine-Grained Alignment in LLM-Based Medical Evaluation
AAAI 2025
Hierarchical Divide-and-Conquer Grouping for Classification Adaptation of Pre-Trained Models
ICCV 2025
Hierarchical Features Matter: A Deep Exploration of Progressive Parameterization Method for Dataset Distillation
CVPR 2025
Hierarchical Gradient-Based Genetic Sampling for Accurate Prediction of Biological Oscillations
AAAI 2025
Hierarchical Knowledge Prompt Tuning for Multi-task Test-Time Adaptation
CVPR 2025
Hierarchical Material Recognition from Local Appearance
ICCV 2025
Hierarchical Multi-Agent Framework for Carbon-Efficient Liquid-Cooled Data Center Clusters
AAAI 2025
Hierarchical Multi-Source Uncertainty Aggregation for Interactive Video Captioning
AAAI 2025
Hierarchical Reward Modeling for Fault Localization in Large Code Repositories
EMNLP 2025
Hierarchical-Task-Aware Multi-modal Mixture of Incremental LoRA Experts for Embodied Continual Learning
ACL 2025
Hierarchical Variational Test-Time Prompt Generation for Zero-Shot Generalization
ICCV 2025
Hierarchical Vector Quantization for Unsupervised Action Segmentation
AAAI 2025
Hierarchical Visual Prompt Learning for Continual Video Instance Segmentation
ICCV 2025
Hierarchy-Aware Pseudo Word Learning with Text Adaptation for Zero-Shot Composed Image Retrieval
ICCV 2025
HiERO: Understanding the Hierarchy of Human Behavior Enhances Reasoning on Egocentric Videos
ICCV 2025