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)
OctoMed: Data Recipes for State-of-the-Art Multimodal Medical Reasoning
CVPR 2026
OddGridBench: Exposing the Lack of Fine-Grained Visual Discrepancy Sensitivity in Multimodal Large Language Models
CVPR 2026
ODEt(ODEl): Shortcutting the Time and the Length in Diffusion and Flow Models for Faster Sampling
WACV 2026
OlmoEarth: Stable Latent Image Modeling for Multimodal Earth Observation
CVPR 2026
OMG-Bench: A New Challenging Benchmark for Skeleton-based Online Micro Hand Gesture Recognition
CVPR 2026
Omni2Sound: Towards Unified Video-Text-to-Audio Generation
CVPR 2026
Omni-AD: A Large-scale and Versatile Benchmark for Industrial Anomaly Detection
CVPR 2026
Omni-Attribute: Open-vocabulary Attribute Encoder for Visual Concept Personalization
CVPR 2026
Omni-Embed-Audio: Leveraging Multimodal LLMs for Robust Audio-Text Retrieval
ACL 2026
Omni-Fake: Benchmarking Unified Multimodal Social Media Deepfake Detection
CVPR 2026
OmniFood8K: Single-Image Nutrition Estimation via Hierarchical Frequency-Aligned Fusion
CVPR 2026
OmniGen2: Towards Instruction-Aligned Multimodal Generation
CVPR 2026
OmniNet: A Multi-Modality Neural Network for Robust Remote Respiratory Rate Measurement from Facial Video
MIDL 2026
OmniOData: Unleashing Small Language Models for OData Query Generation with Synthetic Data and Reinforcement Learning
ACL 2026
Omni-RewardBench: Toward a Comprehensive Evaluation of Generative Reward Models Across Modalities
ACL 2026
OmniSonic: Towards Universal and Holistic Audio Generation from Video and Text
CVPR 2026
OmniVTG: A Large-Scale Dataset and Training Paradigm for Open-World Video Temporal Grounding
CVPR 2026
OmniZip: Learning a Unified and Lightweight Lossless Compressor for Multi-Modal Data
CVPR 2026
OMoBlur: An Object Motion Blur Dataset and Benchmark for Real-World Local Motion Deblurring
CVPR 2026
On Causal Representation Learning with Internal Auxiliaries
UAI 2026
One-by-One Stainer: A Fast and Hallucination Resilient Domain Adaptation Method for Histopathology
MIDL 2026
One Pair Suffices: Unlocking Universal Zero-Shot Translation via Cross-Architecture Alignment
ACL 2026
One Patch to Caption Them All: A Unified Zero-Shot Captioning Framework
CVPR 2026
One-Shot Federated Learning based on Random Feature Extractor
UAI 2026
OneSparse: A Unified Framework for Sparse Activation Layers in Vision Models
CVPR 2026