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)
Unsupervised Parameter-free Simplicial Representation Learning with Scattering Transforms
ICML 2024
Unsupervised Representation Learning of Brain Activity via Bridging Voxel Activity and Functional Connectivity
ICML 2024
Unsupervised Text Representation Learning via Instruction-Tuning for Zero-Shot Dense Retrieval
EMNLP 2024
Unsupervised Tree Boosting for Learning Probability Distributions
JMLR 2024
Unveiling Currency Market Dynamics: Leveraging Federal Reserve Communications for Strategic Investment Insights
COLING 2024
Unveiling Factual Recall Behaviors of Large Language Models through Knowledge Neurons
EMNLP 2024
Unveiling Induction Heads: Provable Training Dynamics and Feature Learning in Transformers
NeurIPS 2024
Unveiling Semantic Information in Sentence Embeddings
COLING 2024
Unveiling the Art of Heading Design: A Harmonious Blend of Summarization, Neology, and Algorithm
ACL 2024
Unveiling the Cycloid Trajectory of EM Iterations in Mixed Linear Regression
ICML 2024
Unveiling the Dynamics of Information Interplay in Supervised Learning
ICML 2024
Unveiling the Hidden: Online Vectorized HD Map Construction with Clip-Level Token Interaction and Propagation
NeurIPS 2024
Unveiling the Hidden Structure of Self-Attention via Kernel Principal Component Analysis
NeurIPS 2024
Unveiling the mystery of visual attributes of concrete and abstract concepts: Variability, nearest neighbors, and challenging categories
EMNLP 2024
Unveiling the Potential of AI for Nanomaterial Morphology Prediction
ICML 2024
Unveiling the Tapestry of Automated Essay Scoring: A Comprehensive Investigation of Accuracy, Fairness, and Generalizability
AAAI 2024
Unveiling the Unseen: Identifiable Clusters in Trained Depthwise Convolutional Kernels
ICLR 2024
Uot1 at FIGNEWS 2024 Shared Task: Labeling News Bias
ACL 2024
uOttawa at LegalLens-2024: Transformer-based Classification Experiments
EMNLP 2024
UOUO: Uncontextualized Uncommon Objects for Measuring Knowledge Horizons of Vision Language Models
EMNLP 2024
UP2ME: Univariate Pre-training to Multivariate Fine-tuning as a General-purpose Framework for Multivariate Time Series Analysis
ICML 2024
UPN-ICC at BEA 2024 Shared Task: Leveraging LLMs for Multiple-Choice Questions Difficulty Prediction
NAACL 2024
UPOCR: Towards Unified Pixel-Level OCR Interface
ICML 2024
Upper Bounding Barlow Twins: A Novel Filter for Multi-Relational Clustering
AAAI 2024
UrbanDataLayer: A Unified Data Pipeline for Urban Science
NeurIPS 2024