Learning Types
32,670 papers (1 classified directly here)
Subtopics · a paper can sit in several, so these overlap
Representation Learning (5,307)
Multimodal Learning (3,969)
Self-Supervised Learning (3,492)
Transfer Learning (2,890)
Adversarial Learning (2,199)
Deep Learning (1,883)
Contrastive Learning (1,730)
Reinforcement Learning (1,500)
Knowledge Distillation (1,494)
Fine-Tuning (1,117)
Multi-Task Learning (1,069)
Domain Adaptation (977)
Zero-Shot Learning (758)
Unsupervised Learning (734)
Few-Shot Learning (694)
Classification (621)
Retrieval-Augmented Generation (606)
Data Augmentation (583)
Semi-Supervised Learning (450)
Weakly Supervised Learning (429)
Continual Learning (408)
In-Context Learning (387)
Sequence Modeling (375)
Meta-Learning (252)
Metric Learning (232)
Ensemble Learning (223)
Federated Learning (215)
Multi-Lingual Learning (199)
Robustness (197)
Parameter-Efficient Fine-Tuning (190)
Imitation Learning (180)
Prompt Engineering (170)
Chain-of-Thought Reasoning (153)
Curriculum Learning (146)
Synthetic Data Generation (143)
Reinforcement Learning from Human Feedback (141)
Multi-Label Classification (123)
Regression (117)
Generative Model (109)
Semantic Segmentation (106)
Domain Generalization (105)
Uncertainty Quantification (98)
Controllable Generation (93)
Text Generation (86)
Neural Architecture Search (80)
Object Detection (80)
Image Generation (79)
Multi-Agent Systems (76)
Feature Learning (74)
Preference Learning (73)
Machine Translation (71)
Out-of-Distribution Detection (68)
Machine Unlearning (63)
Generation (61)
Reasoning (54)
Multi-View Learning (53)
Time Series (52)
Instruction Tuning (50)
Distributed Learning (50)
Image Restoration (49)
Chain-of-Thought (48)
Active Learning (47)
Text Classification (43)
Distribution Shift (43)
Structured Prediction (42)
Clustering (41)
Image Classification (40)
Model Merging (37)
Sparse Learning (36)
Sequence Labeling (36)
Multi-Instance Learning (35)
Anomaly Detection (33)
Image Processing (33)
Code Generation (31)
Fairness (30)
Robust Learning (28)
Multi-Domain Learning (27)
Supervised Learning (26)
Model-Based RL (25)
Natural Language Generation (24)
Privacy (21)
Multi-Objective Optimization (19)
Multi-Scale Learning (19)
Neural Machine Translation (18)
Causal Inference (14)
Instance Segmentation (9)
Interactive Learning (9)
Multi-Label Learning (9)
Multi-Source Learning (9)
Multi-Class Classification (8)
Papers per year
1
22
25
29
26
38
46
60
109
129
179
310
686
1,294
2,286
3,018
3,254
3,930
4,067
4,819
5,737
2,605
'10
'15
'20
'25
Papers (including subtopics)
Graph Assisted Offline-Online Deep Reinforcement Learning for Dynamic Workflow Scheduling
ICLR 2025
Graph-Attention Network with Adversarial Domain Alignment for Robust Cross-Domain Facial Expression Recognition
ACML 2025
Graph-Based Cross-Domain Knowledge Distillation for Cross-Dataset Text-to-Image Person Retrieval
AAAI 2025
GraphCheck: Breaking Long-Term Text Barriers with Extracted Knowledge Graph-Powered Fact-Checking
ACL 2025
Graph Consistency and Diversity Measurement for Federated Multi-View Clustering
AAAI 2025
Graph Contrastive Learning with Joint Spectral Augmentation of Attribute and Topology
AAAI 2025
GraphemeAug: A Systematic Approach to Synthesized Hard Negative Keyword Spotting Examples
Interspeech 2025
GRAPHGPT-O: Synergistic Multimodal Comprehension and Generation on Graphs
CVPR 2025
Graph-guided Cross-composition Feature Disentanglement for Compositional Zero-shot Learning
ACL 2025
GraphInsight: Unlocking Insights in Large Language Models for Graph Structure Understanding
ACL 2025
Graph Mediator Networks Bridging Local and Global Semantics via Serial Message Passing
ACML 2025
GraphMimic: Graph-to-Graphs Generative Modeling from Videos for Policy Learning
CVPR 2025
Graph Mixture of Experts and Memory-augmented Routers for Multivariate Time Series Anomaly Detection
AAAI 2025
GraphMoRE: Mitigating Topological Heterogeneity via Mixture of Riemannian Experts
AAAI 2025
Graph-of-Thoughts for Fact-Checking with Large Language Models
ACL 2025
GraphRouter: A Graph-based Router for LLM Selections
ICLR 2025
Graph Segmentation and Contrastive Enhanced Explainer for Graph Neural Networks
AAAI 2025
Graph Structure Refinement with Energy-based Contrastive Learning
AAAI 2025
GraPPI: A Retrieve-Divide-Solve GraphRAG Framework for Large-scale Protein-protein Interaction Exploration
NAACL 2025
GRAT: Guiding Retrieval-Augmented Reasoning through Process Rewards Tree Search
ACL 2025
Grimm: A Plug-and-Play Perturbation Rectifier for Graph Neural Networks Defending Against Poisoning Attacks
AAAI 2025
GRNFormer: A Biologically-Guided Framework for Integrating Gene Regulatory Networks into RNA Foundation Models
ACL 2025
Grounded Semantic Role Labelling from Synthetic Multimodal Data for Situated Robot Commands
EMNLP 2025
Grounded-VideoLLM: Sharpening Fine-grained Temporal Grounding in Video Large Language Models
EMNLP 2025
GroundingFace: Fine-grained Face Understanding via Pixel Grounding Multimodal Large Language Model
CVPR 2025