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
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'15
'20
'25
Papers (including subtopics)
Long-tailed Recognition by Routing Diverse Distribution-Aware Experts
ICLR 2021
Long-term, Short-term and Sudden Event: Trading Volume Movement Prediction with Graph-based Multi-view Modeling
IJCAI 2021
Look Before You Leap: Learning Landmark Features for One-Stage Visual Grounding
CVPR 2021
Looking Beyond Single Images for Contrastive Semantic Segmentation Learning
NeurIPS 2021
Looking for Confirmations: An Effective and Human-Like Visual Dialogue Strategy
EMNLP 2021
Looking Wider for Better Adaptive Representation in Few-Shot Learning
AAAI 2021
Look Who’s Talking: Active Speaker Detection in the Wild
Interspeech 2021
LoOp: Looking for Optimal Hard Negative Embeddings for Deep Metric Learning
ICCV 2021
Lossless Compression of Structured Convolutional Models via Lifting
ICLR 2021
Loss Surface Simplexes for Mode Connecting Volumes and Fast Ensembling
ICML 2021
Low Anisotropy Sense Retrofitting (LASeR) : Towards Isotropic and Sense Enriched Representations
NAACL 2021
Low-dimensional Structure in the Space of Language Representations is Reflected in Brain Responses
NeurIPS 2021
Lower and Upper Bounds on the Pseudo-Dimension of Tensor Network Models
NeurIPS 2021
Lower-Bounded Proper Losses for Weakly Supervised Classification
ICML 2021
Low Frequency Names Exhibit Bias and Overfitting in Contextualizing Language Models
EMNLP 2021
Low-Rank Constraints for Fast Inference in Structured Models
NeurIPS 2021
Low-Rank Registration Based Manifolds for Convection-Dominated PDEs
AAAI 2021
Low-Rank Subspaces for Unsupervised Entity Linking
EMNLP 2021
Low-Rank Subspaces in GANs
NeurIPS 2021
Low-Rank Tensor Completion by Approximating the Tensor Average Rank
ICCV 2021
Low Resolution Information Also Matters: Learning Multi-Resolution Representations for Person Re-Identification
IJCAI 2021
Low-resource Taxonomy Enrichment with Pretrained Language Models
EMNLP 2021
Low-Shot Validation: Active Importance Sampling for Estimating Classifier Performance on Rare Categories
ICCV 2021
LQF: Linear Quadratic Fine-Tuning
CVPR 2021
LREN: Low-Rank Embedded Network for Sample-Free Hyperspectral Anomaly Detection
AAAI 2021