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)
scRAG: Hybrid Retrieval-Augmented Generation for LLM-based Cross-Tissue Single-Cell Annotation
ACL 2025
Screening, Rectifying, and Re-Screening: A Unified Framework for Tuning Vision-Language Models with Noisy Labels
IJCAI 2025
ScreenMark: Watermarking Arbitrary Visual Content on Screen
AAAI 2025
SCRIBE: Structured Chain Reasoning for Interactive Behaviour Explanations using Tool Calling
EMNLP 2025
SdalsNet: Self-Distilled Attention Localization and Shift Network for Unsupervised Camouflaged Object Detection
AAAI 2025
SDBF: Steep-Decision-Boundary Fingerprinting for Hard-Label Tampering Detection of DNN Models
CVPR 2025
SDD: Self-Degraded Defense against Malicious Fine-tuning
ACL 2025
SDGO: Self-Discrimination-Guided Optimization for Consistent Safety in Large Language Models
EMNLP 2025
sDPO: Don’t Use Your Data All at Once
COLING 2025
SDPO: Segment-Level Direct Preference Optimization for Social Agents
ACL 2025
SeaKR: Self-aware Knowledge Retrieval for Adaptive Retrieval Augmented Generation
ACL 2025
SEAL: Scaling to Emphasize Attention for Long-Context Retrieval
ACL 2025
SEAL: Semantic Attention Learning for Long Video Representation
CVPR 2025
SEAL: Structure and Element Aware Learning Improves Long Structured Document Retrieval
EMNLP 2025
SEAL: Systematic Error Analysis for Value ALignment
AAAI 2025
Seamlessly Integrating Tree-Based Positional Embeddings into Transformer Models for Source Code Representation
ACL 2025
SeaPO: Strategic Error Amplification for Robust Preference Optimization of Large Language Models
EMNLP 2025
SeaS: Few-shot Industrial Anomaly Image Generation with Separation and Sharing Fine-tuning
ICCV 2025
SEA: Supervised Embedding Alignment for Token-Level Visual-Textual Integration in MLLMs
EMNLP 2025
SeCap: Self-Calibrating and Adaptive Prompts for Cross-view Person Re-Identification in Aerial-Ground Networks
CVPR 2025
SECOND: Mitigating Perceptual Hallucination in Vision-Language Models via Selective and Contrastive Decoding
ICML 2025
SEC-Prompt:SEmantic Complementary Prompting for Few-Shot Class-Incremental Learning
CVPR 2025
Secret Lies in Color: Enhancing AI-Generated Images Detection with Color Distribution Analysis
CVPR 2025
SEE: Continual Fine-tuning with Sequential Ensemble of Experts
ACL 2025
SeedLoRA: A Fusion Approach to Efficient LLM Fine-Tuning
ICML 2025