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)
Advancing Semantic Textual Similarity Modeling: A Regression Framework with Translated ReLU and Smooth K2 Loss
EMNLP 2024
Advancing Spiking Neural Networks for Sequential Modeling with Central Pattern Generators
NeurIPS 2024
Advection Augmented Convolutional Neural Networks
NeurIPS 2024
Adversarial Likelihood Estimation With One-Way Flows
WACV 2024
Adversarially Balanced Representation for Continuous Treatment Effect Estimation
AAAI 2024
Adversarially Robust Deep Multi-View Clustering: A Novel Attack and Defense Framework
ICML 2024
Adversarially-Robust Inference on Trees via Belief Propagation
COLT 2024
Adversarial Schrödinger Bridge Matching
NeurIPS 2024
Adversarial Score Distillation: When score distillation meets GAN
CVPR 2024
Adversarial Text Generation using Large Language Models for Dementia Detection
EMNLP 2024
aeon: a Python Toolkit for Learning from Time Series
JMLR 2024
A Fast and Sound Tagging Method for Discontinuous Named-Entity Recognition
EMNLP 2024
A faster and simpler algorithm for learning shallow networks
COLT 2024
AffilGood: Building reliable institution name disambiguation tools to improve scientific literature analysis
ACL 2024
Affine Equivariant Networks Based on Differential Invariants
CVPR 2024
Affine steerers for structured keypoint description
ECCV 2024
A First Step towards Measuring Interdisciplinary Engagement in Scientific Publications: A Case Study on NLP + CSS Research
NAACL 2024
A Fixed-Point Approach to Unified Prompt-Based Counting
AAAI 2024
A flexible empirical Bayes approach to multiple linear regression and connections with penalized regression
JMLR 2024
A Flexible, Equivariant Framework for Subgraph GNNs via Graph Products and Graph Coarsening
NeurIPS 2024
A Fourier Perspective of Feature Extraction and Adversarial Robustness
IJCAI 2024
African or European Swallow? Benchmarking Large Vision-Language Models for Fine-Grained Object Classification
EMNLP 2024
A Functional Extension of Semi-Structured Networks
NeurIPS 2024
A General Algorithm for Solving Rank-one Matrix Sensing
AISTATS 2024
A General Framework for the Analysis of Kernel-based Tests
JMLR 2024