Core Methods
51,083 papers (8 classified directly here)
Subtopics · a paper can sit in several, so these overlap
Representation Learning (22,308)
Classification (15,497)
Regression (5,281)
Clustering (3,809)
Embedding Learning (3,795)
Metric Learning (2,938)
Graph Neural Networks (1,211)
Graphical Models (1,093)
Feature Learning (891)
Kernel Methods (795)
Dimensionality Reduction (780)
Interpretability (512)
Feature Selection (511)
Matrix Factorization (408)
Ranking (315)
Ensemble Methods (300)
Support Vector Machine (295)
Anomaly Detection (281)
Sequence Modeling (244)
Structured Prediction (237)
Sequence Labeling (157)
Topic Modeling (150)
Sparse Coding (140)
Matrix Completion (131)
Neural Networks (114)
Retrieval (105)
Density Estimation (104)
Estimation (83)
Inference (56)
Decision Tree (50)
Feature Extraction (40)
Model Selection (39)
Prediction (35)
Information Extraction (7)
Papers per year
4
21
30
55
40
51
225
219
249
257
357
364
480
942
818
966
1,394
2,092
3,114
4,415
4,853
5,064
5,371
5,992
6,412
5,823
1,475
2000
'5
'10
'15
'20
'25
Papers (including subtopics)
LogicNet: A Logical Consistency Embedded Face Attribute Learning Network
WACV 2025
LogiCoL: Logically-Informed Contrastive Learning for Set-based Dense Retrieval
EMNLP 2025
LogicPro: Improving Complex Logical Reasoning via Program-Guided Learning
ACL 2025
LOGICZSL: Exploring Logic-induced Representation for Compositional Zero-shot Learning
CVPR 2025
Logits DeConfusion with CLIP for Few-Shot Learning
CVPR 2025
Logit Separability-Driven Samples and Multiple Class-Related Words Selection for Advancing In-Context Learning
NAACL 2025
Long-Context Linear System Identification
ICLR 2025
Long-Context State-Space Video World Models
ICCV 2025
Longhorn: State Space Models are Amortized Online Learners
ICLR 2025
LongMamba: Enhancing Mamba's Long-Context Capabilities via Training-Free Receptive Field Enlargement
ICLR 2025
Long-Sequence Recommendation Models Need Decoupled Embeddings
ICLR 2025
Long-Tail Crisis in Nearest Neighbor Language Models
NAACL 2025
Long-Tailed Classification with Multi-Granularity Semantics
ICCV 2025
Long-Tailed Out-of-Distribution Detection: Prioritizing Attention to Tail
AAAI 2025
Long-Term EEG Partitioning for Seizure Onset Detection
AAAI 2025
Long-Term Individual Causal Effect Estimation via Identifiable Latent Representation Learning
IJCAI 2025
Look Around Before Locating: Considering Content and Structure Information for Visual Grounding
AAAI 2025
Look Both Ways and No Sink: Converting LLMs into Text Encoders without Training
ACL 2025
LookCloser: Frequency-aware Radiance Field for Tiny-Detail Scene
CVPR 2025
Looking at Model Debiasing through the Lens of Anomaly Detection
WACV 2025
Looking Beyond the Pixels: Evaluating Visual Metaphor Understanding in VLMs
EMNLP 2025
Looking in the Mirror: A Faithful Counterfactual Explanation Method for Interpreting Deep Image Classification Models
ICCV 2025
Looks can be Deceptive: Distinguishing Repetition Disfluency from Reduplication
COLING 2025
LoRACoE: Improving Large Language Model via Composition-based LoRA Expert
EMNLP 2025
LoRA-Gen: Specializing Large Language Model via Online LoRA Generation
ICML 2025