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)
Unpaired Multimodal Learning for Biological Datasets
MIDL 2026
Unposed-to-3D: Learning Simulation-Ready Vehicles from Real-World Images
CVPR 2026
UnReflectAnything: RGB-Only Highlight Removal by Rendering Synthetic Specular Supervision
CVPR 2026
Unsupervised 3d Motion Estimation Using Event Camera
CVPR 2026
Unsupervised Monocular 3D Keypoint Discovery from Multi-View Diffusion Priors
CVPR 2026
Unsupervised Multi-Scale Segmentation of 3D Subcellular World with Stable Diffusion Foundation Model
CVPR 2026
Unveiling the Unknown: Open-Set Entity Typing via Two-Stage Generation
ACL 2026
UPDESH: Synthesizing Grounded Instruction Tuning Data for 13 Indic Languages
ACL 2026
UPR at SemEval-2026 Task 9: Multi-Label Classification of Polarization Across Social Dimensions and Manifestation Identification in Urdu
SemEval 2026
UPR at SemEval-2026 Task 9: Polarization Detection in Urdu with Language-Specific Transformer and Data Augmentation
SemEval 2026
UQLM: A Python Package for Uncertainty Quantification in Large Language Models
JMLR 2026
UST-Hand: An Uncertainty-aware Spatiotemporal Point Cloud Interaction Network for 3D Self-supervised Hand Pose Estimation
CVPR 2026
UTRAG at SemEval-2026 Task 8: History-Aware Query Rewriting and LoRA-Finetuned Generation for Multi-Turn RAG
SemEval 2026
Validator-Guided Hard Negative Mining for Masked Language Modeling in Low-Resource Ancient Languages
ACL 2026
Valid Survey Simulations with Limited Human Data: The Roles of Prompting, Fine-Tuning, and Rectification
ACL 2026
VA-p: Variational Policy Alignment for Pixel-Aware Autoregressive Generation
CVPR 2026
VARH-AI at SemEval-2026 Task 10: Exploiting Architectural Diversity with Transformer-SSM Ensembles and Confidence-Based Iterative Refinement for Conspiracy Detection
SemEval 2026
Variance reduction combining pre-experiment and in-experiment data
CLeaR 2026
V-Attack: Targeting Disentangled Value Features for Controllable Adversarial Attacks on LVLMs
CVPR 2026
VCU-Bridge: Hierarchical Visual Connotation Understanding via Semantic Bridging
CVPR 2026
VDE: Training-Free Accelerating Rectified Flow Model via Velocity Decomposition and Estimation
CVPR 2026
Velox: Learning Representations of 4D Geometry and Appearance
CVPR 2026
VEMamba: Efficient Isotropic Reconstruction of Volume Electron Microscopy with Axial-Lateral Consistent Mamba
CVPR 2026
VerbaNexAI at SemEval-2026 Task 4: Two-Stage Narrative Similarity via Fine-Tuned Bi-Encoder with MLP Ensemble
SemEval 2026
VerbaNexAI at SemEval-2026 Task 5: Few-Shot Chain-of-Thought with Selective Self-Consistency and Isotonic Calibration for Word Sense Plausibility Rating
SemEval 2026