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)
SemLT3D: Semantic-Guided Expert Distillation for Camera-only Long-Tailed 3D Object Detection
CVPR 2026
SFR-Net: Steering-Fusion-Refining Network in Multi-label Zero-Shot Sewer Defect Detection
CVPR 2026
SFTMix: Elevating Language Model Instruction Tuning with Mixup Recipe
ACL 2026
SGDE: Self-supervised Geometry Degradation Estimation Framework for Coded Aperture Compressive Spectral Imaging
CVPR 2026
SGPVT: Self-Generated Proximal Visual Tokens for Mitigating Proximal Collateral Damage in MLLM Unlearning
ACL 2026
SGSoft: Learning Fused Semantic-Geometric Features for 3D Shape Correspondence via Template-Guided Soft Signals
CVPR 2026
SGT: Securing Open-Source LLMs Against Malicious Fine-tuning via Safety Guidance Trigger
ACL 2026
SG-UniBuc-NLP at SemEval-2026 Task 6: Multi-Head RoBERTa with Chunking for Long-Context Evasion Detection
SemEval 2026
Shanks: Simultaneous Hearing and Thinking for Spoken Language Models
ACL 2026
SHAPE: Stage-aware Hierarchical Advantage via Potential Estimation for LLM Reasoning
ACL 2026
SHAPE: Structure-aware Hierarchical Unsupervised Domain Adaptation with Plausibility Evaluation for Medical Image Segmentation
CVPR 2026
ShelfOcc: Native 3D Supervision beyond LiDAR for Vision-Based Occupancy Estimation
CVPR 2026
Shoe Style-Invariant and Ground-Aware Learning for Dense Foot Contact Estimation
CVPR 2026
ShotDirector: Directorially Controllable Multi-Shot Video Generation with Cinematographic Transitions
CVPR 2026
ShreddingNet: Coarse-to-Fine Restoration for Multi-Source Shredded Manuscripts
CVPR 2026
SIF: Semantically In-Distribution Fingerprints for Large Vision-Language Models
CVPR 2026
SimLBR: Learning to Detect Fake Images by Learning to Detect Real Images
CVPR 2026
Simple-ViLMedSAM: Simple Text Prompts Meet Vision-Language Models for Medical Image Segmentation
CVPR 2026
Simplex-Aligned Diffusion with Cross-Granularity Interaction for Robust Medical Image Classification
MIDL 2026
SimScale: Learning to Drive via Real-World Simulation at Scale
CVPR 2026
SIMSPINE: A Biomechanics-Aware Simulation Framework for 3D Spine Motion Annotation and Benchmarking
CVPR 2026
SineProject: Machine Unlearning for Stable Vision-Language Alignment
CVPR 2026
SinGeo: Unlock Single Model's Potential for Robust Cross-View Geo-Localization
CVPR 2026
Single-Round Scalable Analytic Federated Learning
CVPR 2026
Situated Embedding Models for Context-Aware Dense Retrieval
ACL 2026