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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
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'25

Papers (including subtopics)

LESA: Learnable LLM Layer Scaling-Up ACL 2025 Less Is More: Adaptive Program Repair with Bug Localization and Preference Learning AAAI 2025 Less is More: Efficient Model Merging with Binary Task Switch CVPR 2025 Less is More: Explainable and Efficient ICD Code Prediction with Clinical Entities ACL 2025 Less is More: Federated Graph Learning with Alleviating Topology Heterogeneity from A Causal Perspective ICML 2025 Less is More: The Effectiveness of Compact Typological Language Representations EMNLP 2025 Less Is MuRE: Revisiting Shallow Knowledge Graph Embeddings EMNLP 2025 Less Mature is More Adaptable for Sentence-level Language Modeling ACL 2025 Let Samples Speak: Mitigating Spurious Correlation by Exploiting the Clusterness of Samples CVPR 2025 LETS-C: Leveraging Text Embedding for Time Series Classification ACL 2025 LETS Forecast: Learning Embedology for Time Series Forecasting ICML 2025 Let Your Features Tell The Differences: Understanding Graph Convolution By Feature Splitting ICLR 2025 Leveraging 3D Gaussian for Temporal Knowledge Graph Embedding EMNLP 2025 Leveraging CLIP Encoder for Multimodal Emotion Recognition WACV 2025 Leveraging Cognitive Complexity of Texts for Contextualization in Dense Retrieval EMNLP 2025 Leveraging Constraint Violation Signals for Action Constrained Reinforcement Learning AAAI 2025 Leveraging Diffusion Model as Pseudo-Anomalous Graph Generator for Graph-Level Anomaly Detection ICML 2025 Leveraging Graph Structural Knowledge to Improve Argument Relation Prediction in Political Debates ACL 2025 Leveraging Group Classification with Descending Soft Labeling for Deep Imbalanced Regression AAAI 2025 Leveraging Large Language Models for Node Generation in Few-Shot Learning on Text-Attributed Graphs AAAI 2025 Leveraging Large Language Models to Measure Gender Representation Bias in Gendered Language Corpora ACL 2025 Leveraging LLM-Generated Schema Descriptions for Unanswerable Question Detection in Clinical Data COLING 2025 Leveraging LLMs to Streamline the Review of Public Funding Applications EMNLP 2025 Leveraging MLLM Embeddings and Attribute Smoothing for Compositional Zero-Shot Learning IJCAI 2025 Leveraging Model Guidance to Extract Training Data from Personalized Diffusion Models ICML 2025