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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
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'25

Papers (including subtopics)

Inductive Learning on Heterogeneous Graphs Enhanced by LLMs for Software Mention Detection ACL 2025 iNews: A Multimodal Dataset for Modeling Personalized Affective Responses to News ACL 2025 Inferring Change Points in High-Dimensional Regression via Approximate Message Passing JMLR 2025 Inferring from Logits: Exploring Best Practices for Decoding-Free Generative Candidate Selection ACL 2025 Infer the Whole from a Glimpse of a Part: Keypoint-Based Knowledge Graph for Vehicle Re-Identification AAAI 2025 Infinite-dimensional Diffusion Bridge Simulation via Operator Learning AISTATS 2025 Infinite-dimensional Mahalanobis Distance with Applications to Kernelized Novelty Detection JMLR 2025 InfoBridge: Balanced Multimodal Integration through Conditional Dependency Modeling ICCV 2025 InfoCons: Identifying Interpretable Critical Concepts in Point Clouds via Information Theory ICML 2025 InfoNCE: Identifying the Gap Between Theory and Practice AISTATS 2025 Information-Based Exploration via Random Features for Reinforcement Learning ACML 2025 Information-Guided Identification of Training Data Imprint in (Proprietary) Large Language Models NAACL 2025 Information Locality as an Inductive Bias for Neural Language Models ACL 2025 Information-Theoretic Generative Clustering of Documents AAAI 2025 Information-Theoretic Measures on Lattices for Higher-Order Interactions AISTATS 2025 Information Theoretic Text-to-Image Alignment ICLR 2025 Informative Input Design for Dynamic Mode Decomposition L4DC 2025 Innovative Image Fraud Detection with Cross-Sample Anomaly Analysis: The Power of LLMs ACL 2025 INRFlow: Flow Matching for INRs in Ambient Space ICML 2025 InsBank: Evolving Instruction Subset for Ongoing Alignment EMNLP 2025 In Search of the Lost Arch in Dialogue: A Dependency Dialogue Acts Corpus for Multi-Party Dialogues ACL 2025 In Search of Trees: Decision-Tree Policy Synthesis for Black-Box Systems via Search AAAI 2025 Insightful Instance Features for 3D Instance Segmentation CVPR 2025 Insights into using temporal coordinated behaviour to explore connections between social media posts and influence EMNLP 2025 InspAIred: Cross-cultural Inspiration Detection and Analysis in Real and LLM-generated Social Media Data NAACL 2025