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
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'25
Papers (including subtopics)
Concept-Aware Batch Sampling Improves Language-Image Pretraining
CVPR 2026
Concept-Aware LoRA for Domain-Aligned Segmentation Dataset Generation
CVPR 2026
Concept-Guided Fine-Tuning: Steering ViTs away from Spurious Correlations to Improve Robustness
CVPR 2026
ConceptPrism: Concept Disentanglement in Personalized Diffusion Models via Residual Token Optimization
CVPR 2026
Concept Regions Matter: Benchmarking CLIP with a New Cluster-Importance Approach
CVPR 2026
Condensed Test-Time Adaptation of VLMs for Action Recognition
CVPR 2026
Conditional Diffusion Models for Imbalanced Tabular Regression
UAI 2026
Conditional Factuality Controlled LLMs with Generalization Certificates via Conformal Sampling
CVPR 2026
Conditional Memory via Scalable Lookup: A New Axis of Sparsity for Large Language Models
ACL 2026
Conditional neural control variates for variance reduction in Bayesian inverse problems
UAI 2026
Conditional Text-to-Image Generation with Reference Guidance
WACV 2026
ConfSpec: Efficient Step-Level Speculative Reasoning via Confidence-Gated Verification
ACL 2026
Confusion-Aware Spectral Regularizer for Long-Tailed Recognition
CVPR 2026
Consensus Optimization Graph Neural Networks
UAI 2026
ConsensusXAI: A Framework to Examine Class-wise Agreement in Medical Imaging
WACV 2026
ConsistCompose: Unified Multimodal Layout Control for Image Composition
CVPR 2026
Consistency Beyond Contrast: Enhancing Open-Vocabulary Object Detection Robustness via Contextual Consistency Learning
CVPR 2026
Consistent End-to-End Estimation for Counterfactual Fairness
CLeaR 2026
Consolidation or Adaptation? PRISM: Disentangling SFT and RL Data via Gradient Concentration
ACL 2026
Constrained Random Forest for Domain-Generalizable Classification
UAI 2026
Constructing Interpretable Features from Compositional Neuron Groups
ACL 2026
ConStruct: Structural Distillation of Foundation Models for Prototype-Based Weakly Supervised Histopathology Segmentation
MIDL 2026
Contact-Aware Neural Dynamics
CVPR 2026
ConTexT at SemEval-2026 Task 5: Rating Plausibility of Word Senses in Ambiguous Stories through Narrative Understanding
SemEval 2026
Continual Distillation of Teachers from Different Domains
CVPR 2026