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)
GeneVAR: Causal MeanFlow for Autoregressive Gene-to-WSI Tile Synthesis
CVPR 2026
GenMask: Adapting DiT for Segmentation via Direct Mask Generation
CVPR 2026
GenomeQA: Benchmarking General Large Language Models for Genome Sequence Understanding
ACL 2026
GenSplat: Bridging the Generalization Gap in 3DGS Language Comprehension
CVPR 2026
GenTract: Generative Global Tractography
CVPR 2026
GeoAgent: Learning to Geolocate Everywhere with Reinforced Geographic Characteristics
CVPR 2026
GeoCoT: Towards Reliable Remote Sensing Reasoning with Manifold Perspective
CVPR 2026
GeoDexGrasp: Geometry-aware Generation for Data-efficient and Physics-plausible Dexterous Grasping
CVPR 2026
GeoFree-CoSeg: Unsupervised Point Cloud-Image Cross-Modal Co-Segmentation Without Geometric Alignment
CVPR 2026
GeoGround: Uncertainty-Weighted Multi-Task Learning for Geo-Alignment and Address Defect Detection
ACL 2026
GeoGuide: Hierarchical Geometric Guidance for Open-Vocabulary 3D Semantic Segmentation
CVPR 2026
Geometry-as-context: Modulating Explicit 3D in Scene-consistent Video Generation to Geometry Context
CVPR 2026
Geometry-Aware Cardiac MRI Representation Learning with Equivariant Neural Fields
MIDL 2026
Geometry-Aware Depth-Guided Explainable Multimodal Polyp Size Estimation: A Fusion Model Beyond RGB
MIDL 2026
Geometry-driven OOD Detectors Are Class-Incremental Learners
CVPR 2026
GeoRA: Geometry-Aware Low-Rank Adaptation for RLVR
ACL 2026
GeoWorld: Geometric World Models
CVPR 2026
GFRRN: Explore the Gaps in Single Image Reflection Removal
CVPR 2026
GIFT: Guided Fine-Tuning and Transfer for Enhancing Instruction-Tuned Language Models
ACL 2026
Global Adaptive Momentum Meets Local Personalized Perturbation: Efficient Federated LLM Fine-Tuning with Zeroth-Order Gradients
ACL 2026
Global Underwater Geolocation from Time-Lapse Polarization Imagery
CVPR 2026
Globscope: Toward a Global View of the Loss Landscape
CVPR 2026
Gloria: Consistent Character Video Generation via Content Anchors
CVPR 2026
GlyphPrinter: Region-Grouped Direct Preference Optimization for Glyph-Accurate Visual Text Rendering
CVPR 2026
GMFL: Efficient Global Masking for Federated LLM Fine-tuning
ACL 2026