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)
Dust-Mamba: An Efficient Dust Storm Detection Network with Multiple Data Sources
AAAI 2025
DUT_IR at SemEval-2025 Task 11: Enhancing Multi-Label Emotion Classification with an Ensemble of Pre-trained Language Models and Large Language Models
SemEval 2025
DUTJBD at SemEval-2025 Task 3: A Range of Approaches for Predicting Hallucination Generation in Models
SemEval 2025
DutyTTE: Deciphering Uncertainty in Origin-Destination Travel Time Estimation
AAAI 2025
D.Va: Validate Your Demonstration First Before You Use It
ACL 2025
DViN: Dynamic Visual Routing Network for Weakly Supervised Referring Expression Comprehension
CVPR 2025
DV-Matcher: Deformation-based Non-rigid Point Cloud Matching Guided by Pre-trained Visual Features
CVPR 2025
DweshVaani: An LLM for Detecting Religious Hate Speech in Code-Mixed Hindi-English
COLING 2025
DyCoke: Dynamic Compression of Tokens for Fast Video Large Language Models
CVPR 2025
DyGMAE: A Novel Dynamic Graph Masked Autoencoder for Link Prediction
UAI 2025
DYNAC: Dynamic Vocabulary-based Non-Autoregressive Contextualization for Speech Recognition
Interspeech 2025
DynAlign: Unsupervised Dynamic Taxonomy Alignment for Cross-Domain Segmentation
ICLR 2025
Dynamic Acoustic Model Architecture Optimization in Training for ASR
Interspeech 2025
Dynamic Adapter Tuning for Long-Tailed Class-Incremental Learning
WACV 2025
Dynamic Collaboration of Multi-Language Models based on Minimal Complete Semantic Units
EMNLP 2025
Dynamic Contrastive Knowledge Distillation for Efficient Image Restoration
AAAI 2025
Dynamic Data Mixing Maximizes Instruction Tuning for Mixture-of-Experts
NAACL 2025
Dynamic Derivation and Elimination: Audio Visual Segmentation with Enhanced Audio Semantics
CVPR 2025
Dynamic-DINO: Fine-Grained Mixture of Experts Tuning for Real-time Open-Vocabulary Object Detection
ICCV 2025
Dynamic Entity-Masked Graph Diffusion Model for Histopathology Image Representation Learning
AAAI 2025
Dynamic Expansion Diffusion Learning for Lifelong Generative Modelling
AAAI 2025
Dynamic Feature Fusion for Sign Language Translation Using HyperNetworks
NAACL 2025
Dynamic Multi-Interest Graph Neural Network for Session-Based Recommendation
AAAI 2025
Dynamic Neighborhood Modeling via Node-Subgraph Contrastive Learning for Graph-Based Fraud Detection
AAAI 2025
Dynamic Order Template Prediction for Generative Aspect-Based Sentiment Analysis
ACL 2025