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)
Continual Learning for fMRI-Based Brain Disorder Diagnosis via Functional Connectivity Matrices Generative Replay
CVPR 2026
Continuous Context Sampling Allows Extending Diversity Boundaries of Large Language Models
ACL 2026
Continuous Exposure-Time Modeling for Realistic Atmospheric Turbulence Synthesis
CVPR 2026
Contrasting Local and Global Modeling with Machine Learning and Satellite Data: A Case Study Estimating Tree Canopy Height in African Savannas
JMLR 2026
Contrastive Conformal Sets
UAI 2026
Contrastive Cross-Bag Augmentation for Multiple Instance Learning-based Whole Slide Image Classification
CVPR 2026
ContrastKV: Robust KV Cache Eviction via Contrastive Signal Fusion for Multi-Query Generalization
ACL 2026
ControlAudio: Tackling Text-Guided, Timing-Indicated and Intelligible Audio Generation via Progressive Diffusion Modeling
ACL 2026
Controlling Distributional Bias in Multi-Round LLM Generation via KL-Optimized Fine-Tuning
ACL 2026
Controlling Multimodal Conversational Agents with Coverage-Enhanced Latent Actions
ACL 2026
Controlling Path Dependence in Gradient Ascent Unlearning through Forget-Set Ordering
UAI 2026
Convergence of Continual Learning in Homogeneous Deep Networks
COLT 2026
Convexity-Aware Noise Calibration: A Self-Supervised Framework for Noise-Level-Unknown Image Denoising
CVPR 2026
Coordinate Denoising for Non-Equilibrium Molecular Representation Learning
CVPR 2026
CophiWue at SemEval-2026 Task 4: Symbolic Narrative Profiling with Taxonomy-Guided Extraction and Contrastive Fine-Tuning
SemEval 2026
CoPol at SemEval-2026 Task 9: Modeling Polarization Type Co-occurrence with Label Correlation Networks
SemEval 2026
COPYLENS: Towards Copyrighted Characters Infringement Detection via Copyright-Aware Prompt Learning
CVPR 2026
Copy-Transform-Paste: Zero-Shot Object-Object Alignment Guided by Vision-Language and Geometric Constraints
CVPR 2026
CoRiM: Conflict-driven Risk Minimization for Dynamic Multimodal Fusion
CVPR 2026
CoSMo3D: Open-World Promptable 3D Semantic Segmentation through LLM-Guided Canonical Spatial Modeling
CVPR 2026
CoT-Edit: Let CoT Guide Instruction Video Editing
CVPR 2026
COT-FM: Cluster-wise Optimal Transport Flow Matching
CVPR 2026
Counteracting the Matthew Effect in Self-Improvement of LVLMs through Head-Tail Re-balancing
ACL 2026
Counterfactual Intervention in Attention Multiple Instance Learning For Digital Pathology
MIDL 2026
Countering Multi-modal Representation Collapse through Rank-targeted Fusion
WACV 2026