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)
Unsupervised Cellular Anomaly Detection in Toxicological Histopathology
MIDL 2025
Unsupervised Concept Vector Extraction for Bias Control in LLMs
EMNLP 2025
Unsupervised Continual Domain Shift Learning with Multi-Prototype Modeling
CVPR 2025
Unsupervised Degradation Representation Aware Transform for Real-World Blind Image Super-Resolution
AAAI 2025
Unsupervised Hallucination Detection by Inspecting Reasoning Processes
EMNLP 2025
Unsupervised Identification of Protein Compositions and Conformations via Implicit Content-Transformation Disentanglement
ICCV 2025
Unsupervised Joint Learning of Optical Flow and Intensity with Event Cameras
ICCV 2025
Unsupervised Morphological Tree Tokenizer
ACL 2025
Unsupervised Part Discovery via Descriptor-Based Masked Image Restoration with Optimized Constraints
ICCV 2025
Unsupervised RGB-D Point Cloud Registration for Scenes with Low Overlap and Photometric Inconsistency
ICCV 2025
Unsupervised Sentence Readability Estimation Based on Parallel Corpora for Text Simplification
ACL 2025
Unsupervised Sentence Representation Learning with Syntactically Aligned Negative Samples
NAACL 2025
Unsupervised Single-Image Intrinsic Image Decomposition with LiDAR Intensity Enhanced Training
WACV 2025
Unsupervised Translation of Emergent Communication
AAAI 2025
Unsupervised Video Highlight Detection by Learning from Audio and Visual Recurrence
WACV 2025
Unsupervised Visible-Infrared Person Re-identification under Unpaired Settings
ICCV 2025
UNSURE: self-supervised learning with Unknown Noise level and Stein's Unbiased Risk Estimate
ICLR 2025
Untie the Knots: An Efficient Data Augmentation Strategy for Long-Context Pre-Training in Language Models
ACL 2025
Unveiling Audio Deepfake Origins: A Deep Metric learning And Conformer Network Approach With Ensemble Fusion
Interspeech 2025
Unveiling Multi-View Anomaly Detection: Intra-view Decoupling and Inter-view Fusion
AAAI 2025
Unveiling Privacy Risks in Multi-modal Large Language Models: Task-specific Vulnerabilities and Mitigation Challenges
ACL 2025
Unveiling the Ignorance of MLLMs: Seeing Clearly, Answering Incorrectly
CVPR 2025
Unveiling the Impact of Coding Data Instruction Fine-Tuning on Large Language Models Reasoning
AAAI 2025
Unveiling the Potential of BERT-family: A New Recipe for Building Scalable, General and Competitive Large Language Models
ACL 2025
Unveiling the Power of Source: Source-based Minimum Bayes Risk Decoding for Neural Machine Translation
ACL 2025