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)
A New Computationally Efficient Algorithm to solve Feature Selection for Functional Data Classification in High-dimensional Spaces
ICML 2024
A New Neural Kernel Regime: The Inductive Bias of Multi-Task Learning
NeurIPS 2024
A new Resource and Baselines for Opinion Role Labelling in German Parliamentary Debates
COLING 2024
A New Robust Partial p-Wasserstein-Based Metric for Comparing Distributions
ICML 2024
An Experimental Analysis on Evaluating Patent Citations
EMNLP 2024
An Image-enhanced Molecular Graph Representation Learning Framework
IJCAI 2024
An Image is Worth 32 Tokens for Reconstruction and Generation
NeurIPS 2024
An Impossibility Theorem for Node Embedding
AISTATS 2024
An Independence-promoting Loss for Music Generation with Language Models
ICML 2024
An Infinite-Width Analysis on the Jacobian-Regularised Training of a Neural Network
ICML 2024
An information-theoretic lower bound in time-uniform estimation
COLT 2024
An Interpretable Approach to the Solutions of High-Dimensional Partial Differential Equations
AAAI 2024
An Inter-Speaker Fairness-Aware Speech Emotion Regression Framework
Interspeech 2024
An Investigation of Neuron Activation as a Unified Lens to Explain Chain-of-Thought Eliciting Arithmetic Reasoning of LLMs
ACL 2024
Anisotropy Is Inherent to Self-Attention in Transformers
EACL 2024
Anisotropy is Not Inherent to Transformers
NAACL 2024
An Iterative Min-Min Optimization Method for Sparse Bayesian Learning
ICML 2024
An L* Algorithm for Deterministic Weighted Regular Languages
EMNLP 2024
An LCF-IDF Document Representation Model Applied to Long Document Classification
COLING 2024
An LLM Feature-based Framework for Dialogue Constructiveness Assessment
EMNLP 2024
Anna Karenina Strikes Again: Pre-Trained LLM Embeddings May Favor High-Performing Learners
NAACL 2024
An NCDE-based Framework for Universal Representation Learning of Time Series
IJCAI 2024
Annealed Multiple Choice Learning: Overcoming limitations of Winner-takes-all with annealing
NeurIPS 2024
AnnoPlot: Interactive Visualizations of Text Annotations
EACL 2024
Annotation and Classification of Relevant Clauses in Terms-and-Conditions Contracts
COLING 2024