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)
ID-Crafter: VLM-Grounded Online RL for Compositional Multi-Subject Video Generation
CVPR 2026
Identifying Labeling Mechanism in Positive–Unlabeled Learning under Unknown Class Prior
UAI 2026
Identity-Preserving Image-to-Video Generation via Reward-Guided Optimization
CVPR 2026
IDperturb: Enhancing Variation in Synthetic Face Generation via Angular Perturbations
CVPR 2026
ID-Sim: An Identity-Focused Similarity Metric
CVPR 2026
IF-CRITIC: Towards a Fine-Grained LLM Critic for Instruction-Following Evaluation
ACL 2026
IGen: Scalable Data Generation for Robot Learning from Open-World Images
CVPR 2026
IIITH Boys at SemEval-2026 Task 4: StoryNet - Understanding Narrative Story Similarity through Symbolic Representations
SemEval 2026
Image-based Outlier Synthesis With Training Data
CVPR 2026
Image Diffusion Preview with Consistency Solver
CVPR 2026
Image Guides Images: Consistent Video Amodal Completion with Rectified In-Context Exemplar Guidance
CVPR 2026
Image-to-Point Cloud Feature Back-Projection for Multimodal Training of 3D Semantic Segmentation
CVPR 2026
Imbalanced View Contribution Evaluation and Refinement for Deep Incomplete Multi-View Clustering
CVPR 2026
IMKD: Intensity-Aware Multi-Level Knowledge Distillation for Camera-Radar Fusion
WACV 2026
Impact of a Data-driven Teaching Approach on 9th Graders Conceptual Understanding of Machine Learning
AAAI 2026
ImpRIF: Stronger Implicit Reasoning Leads to Better Complex Instruction Following
ACL 2026
Improved Mean Flows: On the Challenges of Fastforward Generative Models
CVPR 2026
Improving Animal Pose Estimation through Species Similarity Measures and Rigorous Label Definition
WACV 2026
Improving Autoformalization Using Direct Dependency Retrieval
ACL 2026
Improving Calibration in Test-Time Prompt Tuning for Vision-Language Models via Data-Free Flatness-Aware Prompt Pretraining
CVPR 2026
Improving Controllable Generation: Faster Training and Better Performance via x0-Supervision
CVPR 2026
Improving Hate Speech Detection by Fusing Textual and User Interaction Representations in Online Communities
ACL 2026
Improving Long-Context Translation via Self-Supervised Dual Learning
ACL 2026
Improving Sparse Autoencoder with Dynamic Attention
CVPR 2026
Improving TabPFN’s Synthetic Data Generation by Integrating Causal Structure
UAI 2026