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)
Differentiated Vision: Unveiling Entity-Specific Visual Modality Requirements for Multimodal Knowledge Graph
EMNLP 2025
DiffExp: Efficient Exploration in Reward Fine-tuning for Text-to-Image Diffusion Models
AAAI 2025
Difficulty-aware Balancing Margin Loss for Long-tailed Recognition
AAAI 2025
DiffPO: Diffusion-styled Preference Optimization for Inference Time Alignment of Large Language Models
ACL 2025
DiffRetouch: Using Diffusion to Retouch on the Shoulder of Experts
AAAI 2025
DiffRGenNet: Difference-aware Medical Report Generation
MIDL 2025
DiffSensei: Bridging Multi-Modal LLMs and Diffusion Models for Customized Manga Generation
CVPR 2025
DiffuseDef: Improved Robustness to Adversarial Attacks via Iterative Denoising
ACL 2025
Diffuse Everything: Multimodal Diffusion Models on Arbitrary State Spaces
ICML 2025
Diffusion-Based Conditional Image Editing through Optimized Inference with Guidance
WACV 2025
Diffusion-based Event Generation for High-Quality Image Deblurring
CVPR 2025
Diffusion Guided Adaptive Augmentation for Generalization in Visual Reinforcement Learning
ICCV 2025
Diffusion Model is Effectively Its Own Teacher
CVPR 2025
Diffusion Predictive Control with Constraints
L4DC 2025
Diffusion Prior Interpolation for Flexibility Real-World Face Super-Resolution
AAAI 2025
Diffusion Self-Distillation for Zero-Shot Customized Image Generation
CVPR 2025
DiMo-GUI: Advancing Test-time Scaling in GUI Grounding via Modality-Aware Visual Reasoning
EMNLP 2025
DiNaM: Disinformation Narrative Mining with Large Language Models
EMNLP 2025
Dinomaly: The Less Is More Philosophy in Multi-Class Unsupervised Anomaly Detection
CVPR 2025
DioR: Adaptive Cognitive Detection and Contextual Retrieval Optimization for Dynamic Retrieval-Augmented Generation
ACL 2025
DIP: Unsupervised Dense In-Context Post-training of Visual Representations
ICCV 2025
Direction-Aware Neural Acoustic Fields for Few-Shot Interpolation of Ambisonic Impulse Responses
Interspeech 2025
Direct Prompt Optimization with Continuous Representations
ACL 2025
Direct Repair Optimization: Training Small Language Models For Educational Program Repair Improves Feedback
ACL 2025
Dis²Booth: Learning Image Distribution with Disentangled Features for Text-to-Image Diffusion Models
AAAI 2025