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)
Generating Questions, Answers, and Distractors for Videos: Exploring Semantic Uncertainty of Object Motions
ACL 2025
Generating Spatial Knowledge Graphs from Automotive Diagrams for Question Answering
EMNLP 2025
Generating Synthetic Data for Unsupervised Federated Learning of Cross-Modal Retrieval
AAAI 2025
Generative Adversarial Diffusion
ICCV 2025
Generative Co-Design of Antibody Sequences and Structures via Black-Box Guidance in a Shared Latent Space
IJCAI 2025
Generative Hard Example Augmentation for Semantic Point Cloud Segmentation
CVPR 2025
Generative Reward Modeling via Synthetic Criteria Preference Learning
ACL 2025
Generative Video Propagation
CVPR 2025
Generative Zero-Shot Composed Image Retrieval
CVPR 2025
Genius: A Generalizable and Purely Unsupervised Self-Training Framework For Advanced Reasoning
ACL 2025
GENIUS: A Generative Framework for Universal Multimodal Search
CVPR 2025
GENMANIP: LLM-driven Simulation for Generalizable Instruction-Following Manipulation
CVPR 2025
Genomics Data Lossless Compression with (S, K)-Mer Encoding and Deep Neural Networks
AAAI 2025
GenTool: Enhancing Tool Generalization in Language Models through Zero-to-One and Weak-to-Strong Simulation
ACL 2025
GeoBEV: Learning Geometric BEV Representation for Multi-view 3D Object Detection
AAAI 2025
GeoDepth: From Point-to-Depth to Plane-to-Depth Modeling for Self-Supervised Monocular Depth Estimation
CVPR 2025
Geodesic Flow Kernels for Semi-Supervised Learning on Mixed-Variable Tabular Dataset
AAAI 2025
GeoDiffuser: Geometry-Based Image Editing with Diffusion Models
WACV 2025
GeoMamba: Towards Multi-granular POI Recommendation with Geographical State Space Model
AAAI 2025
Geometric Alignment and Prior Modulation for View-Guided Point Cloud Completion on Unseen Categories
ICCV 2025
Geometric Feature Embedding for Effective 3D Few-Shot Class Incremental Learning
ICML 2025
Geometric Representation Condition Improves Equivariant Molecule Generation
ICML 2025
Geometric Signatures of Compositionality Across a Language Model’s Lifetime
ACL 2025
Geometry-Aware Generative Autoencoders for Warped Riemannian Metric Learning and Generative Modeling on Data Manifolds
AISTATS 2025
GEOPARD: Geometric Pretraining for Articulation Prediction in 3D Shapes
ICCV 2025