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)
Assessing Visually-Continuous Corruption Robustness of Neural Networks Relative to Human Performance
WACV 2025
Asset Pricing with Contrastive Adversarial Variational Bayes
IJCAI 2025
Association Pattern-enhanced Molecular Representation Learning
AAAI 2025
Associative Transformer
CVPR 2025
A Strategic Coordination Framework of Small LMs Matches Large LMs in Data Synthesis
ACL 2025
ASTRO: Automatic Strategy Optimization For Non-Cooperative Dialogues
ACL 2025
AstroLoc: Robust Space to Ground Image Localizer
ICCV 2025
A Study of Real-world Audio-Visual Corpus Design and Production: A Perspective from MISP Challenges
Interspeech 2025
A Study on Speech Assessment with Visual Cues
Interspeech 2025
A Study on The Impact of Foundation Models on Automatic Depression Detection from Speech Signals
Interspeech 2025
Astute RAG: Overcoming Imperfect Retrieval Augmentation and Knowledge Conflicts for Large Language Models
ACL 2025
A Survey of Post-Training Scaling in Large Language Models
ACL 2025
A Survey on Patent Analysis: From NLP to Multimodal AI
ACL 2025
Asymmetric Cross-Modal Hashing Based on Formal Concept Analysis
AAAI 2025
Asymmetric Decision-Making in Online Knowledge Distillation: Unifying Consensus and Divergence
ICML 2025
Asymmetric Hierarchical Difference-aware Interaction Network for Event-guided Motion Deblurring
AAAI 2025
Asymmetric Reinforcing Against Multi-Modal Representation Bias
AAAI 2025
Asymmetric Visual Semantic Embedding Framework for Efficient Vision-Language Alignment
AAAI 2025
A Systematic Analysis of Base Model Choice for Reward Modeling
EMNLP 2025
A Systematic Exploration of Knowledge Graph Alignment with Large Language Models in Retrieval Augmented Generation
AAAI 2025
A Tale of Two Classes: Adapting Supervised Contrastive Learning to Binary Imbalanced Datasets
CVPR 2025
ATAS: Any-to-Any Self-Distillation for Enhanced Open-Vocabulary Dense Prediction
ICCV 2025
A Theoretical Analysis of Self-Supervised Learning for Vision Transformers
ICLR 2025
A Theoretical Framework for Preventing Class Collapse in Supervised Contrastive Learning
AISTATS 2025
A Theoretical Perspective: How to Prevent Model Collapse in Self-consuming Training Loops
ICLR 2025