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)
GOVERN: Gradient Orientation Vote Ensemble for Multi-Teacher Reinforced Distillation
EMNLP 2024
GPT4Point: A Unified Framework for Point-Language Understanding and Generation
CVPR 2024
GPT vs RETRO: Exploring the Intersection of Retrieval and Parameter-Efficient Fine-Tuning
EMNLP 2024
Gradient-based Parameter Selection for Efficient Fine-Tuning
CVPR 2024
Gradient Localization Improves Lifelong Pretraining of Language Models
EMNLP 2024
Gradient Reweighting: Towards Imbalanced Class-Incremental Learning
CVPR 2024
Granite-Function Calling Model: Introducing Function Calling Abilities via Multi-task Learning of Granular Tasks
EMNLP 2024
Graph2Tac: Online Representation Learning of Formal Math Concepts
ICML 2024
Graph Anomaly Detection with Diffusion Model-Based Graph Enhancement (Student Abstract)
AAAI 2024
Graph-Aware Contrasting for Multivariate Time-Series Classification
AAAI 2024
Graph-Based Prediction and Planning Policy Network (GP3Net) for Scalable Self-Driving in Dynamic Environments Using Deep Reinforcement Learning
AAAI 2024
Graph-based Uncertainty Metrics for Long-form Language Model Generations
NeurIPS 2024
Graph Clustering Methods Derived from Column Subset Selection (Student Abstract)
AAAI 2024
Graph Contrastive Invariant Learning from the Causal Perspective
AAAI 2024
Graph Contrastive Learning under Heterophily via Graph Filters
UAI 2024
GraphCroc: Cross-Correlation Autoencoder for Graph Structural Reconstruction
NeurIPS 2024
Graph Disentangled Contrastive Learning with Personalized Transfer for Cross-Domain Recommendation
AAAI 2024
Graph Generation with K^2-trees
ICLR 2024
Graph Invariant Learning with Subgraph Co-mixup for Out-of-Distribution Generalization
AAAI 2024
GraphQL Query Generation: A Large Training and Benchmarking Dataset
EMNLP 2024
GraphVis: Boosting LLMs with Visual Knowledge Graph Integration
NeurIPS 2024
GraspSplats: Efficient Manipulation with 3D Feature Splatting
CoRL 2024
GREAT Score: Global Robustness Evaluation of Adversarial Perturbation using Generative Models
NeurIPS 2024
Greenback Bears and Fiscal Hawks: Finance is a Jungle and Text Embeddings Must Adapt
EMNLP 2024
GRIT: GAN Residuals for Paired Image-to-Image Translation
WACV 2024