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)
ORSATR-X: A Foundation Model based on Differential-and-Excitation Networks for Optical Remote Sensing Object Recognition
CVPR 2026
OrthoFuse: Training-free Riemannian Fusion of Orthogonal Style-Concept Adapters for Diffusion Models
CVPR 2026
ORV: 4D Occupancy-centric Robot Video Generation
CVPR 2026
OS-Fed: One Snapshot Is All You Need
CVPR 2026
OS-Oracle: A Comprehensive Framework for Cross-Platform GUI Critic Models
CVPR 2026
OSPO: Object-Centric Self-Improving Preference Optimization for Text-to-Image Generation
CVPR 2026
Outcome Accuracy is Not Enough: Aligning the Reasoning Process of Reward Models
ACL 2026
Outlier-Robust Diffusion Solvers for Inverse Problems
CVPR 2026
Ov3R: Open-Vocabulary Semantic 3D Reconstruction from RGB Videos
CVPR 2026
Overcoming Fine-Grained Visual Challenges in Animal Re-Identification via Semantic Feature Alignment
WACV 2026
OZemi at SemEval-2026 Task 9: A Cross-Lingual Approach to Online Text Polarization Classification Using Multilingual Models and Adaptive Loss Formulation
SemEval 2026
PaCo-RL: Advancing Reinforcement Learning for Consistent Image Generation with Pairwise Reward Modeling
CVPR 2026
PAF: Perturbation-Aware Filtering for Open-Set Semi-Supervised Learning
CVPR 2026
PAGET: Hierarchical Multi-Teacher Knowledge Distillation for Comprehensive Tumor Microenvironment Segmentation
MIDL 2026
PALI at SemEval-2026 Task 3: LoRA Fine-Tuning with Validation for DimABSA
SemEval 2026
PAM: A Pose-Appearance-Motion Engine for Sim-to-Real HOI Video Generation
CVPR 2026
PAM: Enhancing General Alignment of Large Reasoning Models through Priority-Aware Metacognition
ACL 2026
PaQ-DETR: Learning Pattern and Quality-Aware Dynamic Queries for Object Detection
CVPR 2026
PaRaChute: Pathology-Radiology Cross-Modal Fusion for Missing-Modality-Robust Survival Prediction
WACV 2026
Paradise at SemEval-2026 Task 12: Leveraging Instruction-Tuned Large Language Models with Chain-of-Thought Prompting for Abductive Event Reasoning
SemEval 2026
Parallax to Align Them All: An OmniParallax Attention Mechanism for Distributed Multi-View Image Compression
CVPR 2026
Parallel Universes, Parallel Languages: A Comprehensive Study on LLM-based Multilingual Counterfactual Example Generation
ACL 2026
Parameter-Efficient Adaptation for MLLMs via Implicit Modality Decomposition
CVPR 2026
Parameter-efficient Continual Learning for Enhancing Plasticity without Forgetting under Limited Model Capacity
CVPR 2026
Parameter Importance is Not Static: Evolving Parameter Isolation for Supervised Fine-Tuning
ACL 2026