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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
51
357
966
4,853
5,823
2000
'5
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'15
'20
'25

Papers (including subtopics)

Automated Telescope-Paper Linkage via Multi-Model Ensemble Learning AACL 2025 Automatically Discovering How Misogyny is Framed on Social Media NAACL 2025 Automatically Identify and Rectify: Robust Deep Contrastive Multi-view Clustering in Noisy Scenarios ICML 2025 Automatically Interpreting Millions of Features in Large Language Models ICML 2025 Automatic concept extraction for learning domain modeling: A weakly supervised approach using contextualized word embeddings ACL 2025 Automatic debiasing of neural networks via moment-constrained learning CLeaR 2025 Automatic detection of dyslexia based on eye movements during reading in Russian ACL 2025 Automatic Identification and Naming of Overlapping and Topic-specific Argumentation Frames ACL 2025 AutoML Meets Hugging Face: Domain-Aware Pretrained Model Selection for Text Classification NAACL 2025 Autoregressive Denoising Score Matching is a Good Video Anomaly Detector ICCV 2025 Auto-Regressive Moving Diffusion Models for Time Series Forecasting AAAI 2025 Autoregressive Sequence Modeling for 3D Medical Image Representation AAAI 2025 Autoregressive Speech Synthesis without Vector Quantization ACL 2025 AutoSciLab: A Self-Driving Laboratory for Interpretable Scientific Discovery AAAI 2025 AutoSGNN: Automatic Propagation Mechanism Discovery for Spectral Graph Neural Networks AAAI 2025 AutoSSVH: Exploring Automated Frame Sampling for Efficient Self-Supervised Video Hashing CVPR 2025 AUTOSUMM: A Comprehensive Framework for LLM-Based Conversation Summarization ACL 2025 A Variable Occurrence-Centric Framework for Inconsistency Handling AAAI 2025 A Variational Approach for Mitigating Entity Bias in Relation Extraction ACL 2025 A Variational Perspective on Generative Protein Fitness Optimization ICML 2025 Average Sensitivity of Hierarchical k-Median Clustering ICML 2025 Averroes at BEA 2025 Shared Task: Verifying Mistake Identification in Tutor, Student Dialogue ACL 2025 Avoiding Copyright Infringement via Large Language Model Unlearning NAACL 2025 AxBench: Steering LLMs? Even Simple Baselines Outperform Sparse Autoencoders ICML 2025 Axiomatic Explainer Globalness via Optimal Transport AISTATS 2025