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)
DoGA: Enhancing Grounded Object Detection via Grouped Pre-Training with Attributes
AAAI 2025
DOGR: Leveraging Document-Oriented Contrastive Learning in Generative Retrieval
AAAI 2025
Do It Yourself: Learning Semantic Correspondence from Pseudo-Labels
ICCV 2025
Do LLMs Encode Frame Semantics? Evidence from Frame Identification
EMNLP 2025
DOLPHIN: A Programmable Framework for Scalable Neurosymbolic Learning
ICML 2025
Domain Adaptation and Entanglement: an Optimal Transport Perspective
AISTATS 2025
Domain Adaptation of Foundation LLMs for e-Commerce
ACL 2025
Domain Adaptation with Hybrid Modeling for Learning Dynamical Systems
ACML 2025
Domain Adaptive Unfolded Graph Neural Networks
AAAI 2025
Domain-Level Disentanglement Framework Based on Information Enhancement for Cross-Domain Cold-Start Recommendation
AAAI 2025
DomCLP: Domain-wise Contrastive Learning with Prototype Mixup for Unsupervised Domain Generalization
AAAI 2025
DoMIX: An Efficient Framework for Exploiting Domain Knowledge in Fine-Tuning
ACL 2025
Donate or Create? Comparing Data Collection Strategies for Emotion-labeled Multimodal Social Media Posts
ACL 2025
DongbaMIE: A Multimodal Information Extraction Dataset for Evaluating Semantic Understanding of Dongba Pictograms
EMNLP 2025
Don’t Half-listen: Capturing Key-part Information in Continual Instruction Tuning
ACL 2025
Doppelgangers and Adversarial Vulnerability
CVPR 2025
Doppler-Aware LiDAR-RADAR Fusion for Weather-Robust 3D Detection
ICCV 2025
DoraCycle: Domain-Oriented Adaptation of Unified Generative Model in Multimodal Cycles
CVPR 2025
Do RAG Systems Really Suffer From Positional Bias?
EMNLP 2025
Do Regularization Methods for Shortcut Mitigation Work As Intended?
AISTATS 2025
Do Robot Snakes Dream like Electric Sheep? Investigating the Effects of Architectural Inductive Biases on Hallucination
ACL 2025
Double Entendre: Robust Audio-Based AI-Generated Lyrics Detection via Multi-View Fusion
ACL 2025
Double-Filter: Efficient Fine-tuning of Pre-trained Vision-Language Models via Patch&Layer Filtering
ICML 2025
Do Vision-Language Models Really Understand Visual Language?
ICML 2025
Do we still need Human Annotators? Prompting Large Language Models for Aspect Sentiment Quad Prediction
ACL 2025