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
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'25
Papers (including subtopics)
Sub-Interest-Aware Representation Uniformity for Recommender System
AAAI 2025
Subjective Behaviors and Preferences in LLM: Language of Browsing
EMNLP 2025
Subtle Errors in Reasoning: Preference Learning via Error-injected Self-editing
ACL 2025
SudoLM: Learning Access Control of Parametric Knowledge with Authorization Alignment
ACL 2025
sudo rm -rf agentic_security
ACL 2025
SuLoRA: Subspace Low-Rank Adaptation for Parameter-Efficient Fine-Tuning
ACL 2025
SUMI-IFL: An Information-Theoretic Framework for Image Forgery Localization with Sufficiency and Minimality Constraints
AAAI 2025
Super-Class Guided Transformer for Zero-Shot Attribute Classification
AAAI 2025
Super Deep Contrastive Information Bottleneck for Multi-modal Clustering
ICML 2025
SuperEvent: Cross-Modal Learning of Event-based Keypoint Detection for SLAM
ICCV 2025
Superfluous Instruction: Vulnerabilities Stemming from Task-Specific Superficial Expressions in Instruction Templates
ACL 2025
SuperRAG: Beyond RAG with Layout-Aware Graph Modeling
NAACL 2025
Supervised Contrastive Learning from Weakly-Labeled Audio Segments for Musical Version Matching
ICML 2025
Supervised Machine Learning based Amharic Text Complexity Classification Using Automatic Annotator Tool
ACL 2025
Supervising Sound Localization by In-the-wild Egomotion
CVPR 2025
Supportive Negatives Spectral Augmentation for Source-Free Cross-Domain Segmentation
AAAI 2025
SuPreME: A Supervised Pre-training Framework for Multimodal ECG Representation Learning
EMNLP 2025
Surgical Flow Masked Autoencoder for Event Recognition
MIDL 2025
SurgicalSemiSeg: A Semi-Supervised Framework for Laparoscopic Image Segmentation
MIDL 2025
Surrogate Prompt Learning: Towards Efficient and Diverse Prompt Learning for Vision-Language Models
ICML 2025
Survival Models: Proper Scoring Rule and Stochastic Optimization with Competing Risks
AISTATS 2025
Survival Prediction in Lung Cancer through Multi-Modal Representation Learning
WACV 2025
SUTrack: Towards Simple and Unified Single Object Tracking
AAAI 2025
SUWMIT at BioLaySumm2025: Instruction-based Summarization with Contrastive Decoding
ACL 2025
SVasP: Self-Versatility Adversarial Style Perturbation for Cross-Domain Few-Shot Learning
AAAI 2025